{ "results": [ { "id": "e88ca3eba3db61f5b2ecc92489c40f00", "title": "Field Robotics Engineer", "employer_name": "Flink", "employer_slug": "flink", "location_text": "Zürich, Switzerland", "country": "CH", "employment_type": "unknown", "remote_status": "unspecified", "remote_status_source": null, "remote_status_enriched_at": null, "days_in_office": null, "timezone_overlap_hours": 3, "salary_min": null, "salary_max": null, "salary_min_source": null, "salary_max_source": null, "salary_currency": "UNSPECIFIED", "salary_type": "unknown", "salary_type_source": null, "salary_type_enriched_at": null, "salary_period": null, "base_salary_min": null, "base_salary_max": null, "salary_disclosed": false, "equity_included": true, "equity_included_source": null, "equity_type": [ "options" ], "k401_match": null, "match_401k_pct": null, "match_401k_pct_source": null, "k401_match_source_url": null, "k401_match_source_fields": [], "k401_contribution_source_url": null, "k401_contribution_source_fields": [], "profit_sharing": false, "bonus_offered": false, "mental_health_support": null, "childcare_subsidy": null, "fertility_family_building_benefits": null, "adoption_assistance_offered": null, "surrogacy_assistance_offered": null, "student_loan_repayment_offered": null, "learning_budget_offered": null, "relocation_assistance": null, "top_startup_sources": [ "cbinsights_unicorn" ], "posted_at": "2026-06-11T12:28:41.112Z", "apply_url": "https://jobs.ashbyhq.com/flink/25550dc6-4853-4fec-832e-0f9b64da5177", "apply_url_verified": false, "ats": "ashby", "url_last_checked_alive": null, "removed_at": null, "description_excerpt": "Field Robotics Engineer Zürich, Switzerland Flink Robotics is a fast-paced startup backed by world-class VCs, originating from the Computational Robotics Lab at ETH Zurich. We're building the next generation of plug-and-play robots, powered by a novel approach to make robots autonomous. Our robots are designed to revolutionize material handling, from stacking boxes to sorting parcels and unloading goods. We're looking for a hands-on Field Robotics Engineer who loves debugging, stress-testing and is ready to install robots that move the world's parcels. In this role, you'll be the face of Flink at customer sites and industry events, making sure every system is rigorously tested, commissioned and continuously improved. Who you are - Eager to join a VC-backed startup in its early phase and take ownership of field projects. - Passionate about robotics: from mechanics and electronics to computer vision and control. - Proactive problem-solver wanting to learn new things - Clear communicator, fluent in English, German is a strong plus. - Excited about frequent travel to production sites (up to 60 %). - Enjoys collaborating with multidisciplinary teams and customers on the shop floor, adapting your style to the people and pressure in the room. What you bring - 3-5 years of experience in mechatronics, sensors, networking and basic control principles - Strong track record in commissioning complex electromechanical or robotic systems in the field - Ability to diagnose and resolve hardware and software issues - Excited about travel and deploying robots in production environments - Proven ability to manage stakeholders", "parental_leave_weeks": null, "non_birth_parent_leave_weeks": null, "parental_leave_weeks_source": null, "non_birth_parent_leave_weeks_source": null, "parental_leave_source_url": null, "pto_days": null, "unlimited_pto": false, "sabbatical_eligible": false, "family_friendly_score": 43, "benefit_verified": false, "benefit_last_verified": null, "hire_states_allowed": [], "state_eligibility_source": null, "state_eligibility_enriched_at": null, "llm_quality_pass_at": null, "llm_signals_at": "2026-06-20T05:42:05.724Z", "llm_extraction_run_id": "postfix_final_004037", "llm_extraction_extracted_at": null, "llm_extraction_field_sources": { "seniority": { "field": "seniority", "source": "llm:greenfield:inv_371_postfix", "db_column": "seniority" }, "years_min": { "field": "years_min", "source": "llm:greenfield:inv_371_postfix", "db_column": "years_experience_min" }, "role_family": { "field": "role_family", "source": "llm:greenfield:inv_371_postfix", "db_column": "role_family" }, "salary_type": { "field": "salary_type", "source": "llm:greenfield:inv_371_postfix", "db_column": "salary_type" }, "company_stage": { "field": "company_stage", "source": "llm:greenfield:inv_371_postfix", "db_column": "company_stage" }, "role_function": { "field": "role_function", "source": "llm:greenfield:inv_371_postfix", "db_column": "role_function" }, "equity_offered": { "field": "equity_offered", "source": "llm:greenfield:inv_371_postfix", "db_column": "equity_offered" }, "equity_included": { "field": "equity_included", "source": "derived:greenfield:inv_371_postfix", "db_column": "equity_included" }, "education_required": { "field": "education_required", "source": "llm:greenfield:inv_371_postfix", "db_column": "education_required" } }, "seniority": "mid", "seniority_source": "llm:greenfield:inv_371_postfix", "years_experience_min": 3, "years_experience_max": 9, "role_function": "engineering", "role_function_source": "llm:greenfield:inv_371_postfix", "company_stage": "early", "company_stage_source": "llm:greenfield:inv_371_postfix", "employer_industry": null, "employer_industry_source": null, "employer_size": "51-200", "quality_score": 45, "travel_pct": 60, "requires_shift": null, "shift_type": "unknown", "shift_type_source": null, "weekend_work": "unknown", "weekend_work_source": null, "relocation_assistance_source": null, "contractor_w2": "unknown", "required_timezone": null, "fertility_family_building_benefits_source": null, "mental_health_support_source": null, "adoption_assistance_offered_source": null, "childcare_subsidy_source": null, "learning_budget_offered_source": null, "surrogacy_assistance_offered_source": null, "cover_letter_required": null, "cover_letter_required_source": null, "assessment_required": null, "assessment_required_source": null, "application_deadline": null, "application_deadline_source": null, "visa_sponsorship": false, "us_citizenship_required": false, "security_clearance": "none", "education_required": "none", "roll_up_count": null, "roll_up_total_locations": null, "explanations": [ { "schema_version": "inv382.match_signal.v1", "signal_id": "sig.query.description_excerpt.9215da5f89abf95ce4", "query_id": "gq_99e1b305e21f24a9d00b", "job_id": "e88ca3eba3db61f5b2ecc92489c40f00", "signal_type": "query_match", "display_text": "Description: \"flink\"", "tooltip": "Description matched \"flink\" from your search.", "source_binding": "bm25_field_evidence", "source_field": "description_excerpt", "source_value": "Field Robotics Engineer Zürich, Switzerland Flink Robotics is a fast-paced startup backed by world-class VCs, originating from the Computational Robotics Lab at ETH Zurich. We're building the next generation of plug-and-play robots, powered by a novel approach to make robots autonomous. Our robots are designed to revolutionize material handling, from stacking boxes to sorting parcels and unloading goods. We're looking for a hands-on Field Robotics Engineer who loves debugging, stress-testing and is ready to install robots that move the world's parcels. In this role, you'll be the face of Flink at customer sites and industry events, making sure every system is rigorously tested, commissioned and continuously improved. Who you are - Eager to join a VC-backed startup in its early phase and take ownership of field projects. - Passionate about robotics: from mechanics and electronics to computer vision and control. - Proactive problem-solver wanting to learn new things - Clear communicator, fluent in English, German is a strong plus. - Excited about frequent travel to production sites (up to 60 %). - Enjoys collaborating with multidisciplinary teams and customers on the shop floor, adapting your style to the people and pressure in the room. What you bring - 3-5 years of experience in mechatronics, sensors, networking and basic control principles - Strong track record in commissioning complex electromechanical or robotic systems in the field - Ability to diagnose and resolve hardware and software issues - Excited about travel and deploying robots in production environments - Proven ability to manage stakeholders", "matched_input": "flink", "derivation_source": "candidate_result.raw_match_evidence", "candidate_evidence_id": "ev:gq_99e1b305e21f24a9d00b:e88ca3eba3db61f5b2ecc92489c40f00:description:flink", "rerank_evidence_id": null, "taxonomy_alias_id": null, "oracle_verification_method": "candidate_evidence_exists", "counts_for_non_trivial_query": true, "truth_verified": true, "exact": true, "priority": 90, "mobile_priority": 1, "ui": { "icon": "Search", "tone": "match", "href": null } }, { "schema_version": "inv382.match_signal.v1", "signal_id": "sig.query.employer_name.c1f61cbd60a17b3fb9", "query_id": "gq_99e1b305e21f24a9d00b", "job_id": "e88ca3eba3db61f5b2ecc92489c40f00", "signal_type": "query_match", "display_text": "Employer: \"flink\"", "tooltip": "Employer matched \"flink\" from your search.", "source_binding": "bm25_field_evidence", "source_field": "employer_name", "source_value": "Flink", "matched_input": "flink", "derivation_source": "candidate_result.raw_match_evidence", "candidate_evidence_id": "ev:gq_99e1b305e21f24a9d00b:e88ca3eba3db61f5b2ecc92489c40f00:employer:flink", "rerank_evidence_id": null, "taxonomy_alias_id": null, "oracle_verification_method": "candidate_evidence_exists", "counts_for_non_trivial_query": true, "truth_verified": true, "exact": true, "priority": 90, "mobile_priority": 1, "ui": { "icon": "Search", "tone": "match", "href": null } }, { "schema_version": "inv382.match_signal.v1", "signal_id": "sig.semantic.employer_name.a59956d2c81fd6e12c", "query_id": "gq_99e1b305e21f24a9d00b", "job_id": "e88ca3eba3db61f5b2ecc92489c40f00", "signal_type": "query_match", "display_text": "Employer: semantic match", "tooltip": "Employer provided semantic evidence for your search intent.", "source_binding": "reranker_semantic_evidence", "source_field": "employer_name", "source_value": "Flink", "matched_input": "flink", "derivation_source": "rerank_result.semantic_evidence", "candidate_evidence_id": null, "rerank_evidence_id": "rerank:efcc8d92a7bb6fe30ae73153", "taxonomy_alias_id": null, "oracle_verification_method": "reranker_evidence_exists", "counts_for_non_trivial_query": true, "truth_verified": true, "exact": false, "priority": 86, "mobile_priority": 2, "ui": { "icon": "Sparkles", "tone": "match", "href": null } }, { "schema_version": "inv382.match_signal.v1", "signal_id": "sig.query.employer_name.dfbb8104dffb88b696", "query_id": "gq_99e1b305e21f24a9d00b", "job_id": "e88ca3eba3db61f5b2ecc92489c40f00", "signal_type": "query_match", "display_text": "Employer: \"flink\"", "tooltip": "Employer contains \"flink\" from your search.", "source_binding": "token_match", "source_field": "employer_name", "source_value": "Flink", "matched_input": "flink", "derivation_source": "row_field", "candidate_evidence_id": null, "rerank_evidence_id": null, "taxonomy_alias_id": null, "oracle_verification_method": "row_field_contains", "counts_for_non_trivial_query": true, "truth_verified": true, "exact": true, "priority": 80, "mobile_priority": 2, "ui": { "icon": "SearchCheck", "tone": "match", "href": null } }, { "schema_version": "inv382.match_signal.v1", "signal_id": "sig.semantic.role_function.fb89f4871d1a906dfa", "query_id": "gq_99e1b305e21f24a9d00b", "job_id": "e88ca3eba3db61f5b2ecc92489c40f00", "signal_type": "query_match", "display_text": "Role: semantic match", "tooltip": "Role provided semantic evidence for your search intent.", "source_binding": "vector_semantic_evidence", "source_field": "role_function", "source_value": "engineering", "matched_input": "flink", "derivation_source": "candidate_result.raw_match_evidence", "candidate_evidence_id": "ev:gq_99e1b305e21f24a9d00b:e88ca3eba3db61f5b2ecc92489c40f00:vector", "rerank_evidence_id": null, "taxonomy_alias_id": null, "oracle_verification_method": "candidate_evidence_exists", "counts_for_non_trivial_query": true, "truth_verified": true, "exact": false, "priority": 74, "mobile_priority": 2, "ui": { "icon": "Sparkles", "tone": "match", "href": null } } ], "parental_leave_source_label": null, "k401_match_source_label": null, "k401_contribution_source_label": null, "apply_url_checked_at": null, "apply_url_verification_status": "not_reachable_or_not_checked", "apply_url_verification_label": "Not checked or not reachable at last crawl", "field_source_signals": { "equity_included": { "tier": "posting", "verified": true, "label": "From the posting", "source_label": "the posting", "href": "https://jobs.ashbyhq.com/flink/25550dc6-4853-4fec-832e-0f9b64da5177", "source_values": [ "derived:greenfield:inv_371_postfix" ], "checked_at": "2026-06-20T05:42:05.724Z" }, "seniority": { "tier": "posting", "verified": true, "label": "From the posting", "source_label": "the posting", "href": "https://jobs.ashbyhq.com/flink/25550dc6-4853-4fec-832e-0f9b64da5177", "source_values": [ "llm:greenfield:inv_371_postfix" ], "checked_at": "2026-06-20T05:42:05.724Z" }, "role_function": { "tier": "posting", "verified": true, "label": "From the posting", "source_label": "the posting", "href": "https://jobs.ashbyhq.com/flink/25550dc6-4853-4fec-832e-0f9b64da5177", "source_values": [ "llm:greenfield:inv_371_postfix" ], "checked_at": "2026-06-20T05:42:05.724Z" }, "company_stage": { "tier": "posting", "verified": true, "label": "From the posting", "source_label": "the posting", "href": "https://jobs.ashbyhq.com/flink/25550dc6-4853-4fec-832e-0f9b64da5177", "source_values": [ "llm:greenfield:inv_371_postfix" ], "checked_at": "2026-06-20T05:42:05.724Z" } } }, { "id": "c4887c5121e0ffd8b5196c5261e6b9d3", "title": "Flink Lead Software Engineer", "employer_name": "Salesforce", "employer_slug": "salesforce", "location_text": "California - San Francisco", "country": "US", "employment_type": "unknown", "remote_status": "unspecified", "remote_status_source": null, "remote_status_enriched_at": null, "days_in_office": null, "timezone_overlap_hours": 6, "salary_min": 207800, "salary_max": 285800, "salary_min_source": null, "salary_max_source": null, "salary_currency": "USD", "salary_type": "base", "salary_type_source": null, "salary_type_enriched_at": null, "salary_period": "year", "base_salary_min": 207800, "base_salary_max": 285800, "salary_disclosed": true, "equity_included": true, "equity_included_source": null, "equity_type": [ "rsu", "options", "espp" ], "k401_match": "yes", "match_401k_pct": null, "match_401k_pct_source": null, "k401_match_source_url": null, "k401_match_source_fields": [ "EMPLR_CONTRIB_INCOME_AMT" ], "k401_contribution_source_url": null, "k401_contribution_source_fields": [ "EMPLR_CONTRIB_INCOME_AMT" ], "profit_sharing": false, "bonus_offered": false, "mental_health_support": null, "childcare_subsidy": null, "fertility_family_building_benefits": null, "adoption_assistance_offered": null, "surrogacy_assistance_offered": null, "student_loan_repayment_offered": null, "learning_budget_offered": null, "relocation_assistance": null, "top_startup_sources": [], "posted_at": "2026-06-03T00:00:00.000Z", "apply_url": "https://careers.salesforce.com/en/jobs/jr343322/flink-lead-software-engineer/", "apply_url_verified": false, "ats": "phenom_umbraco", "url_last_checked_alive": null, "removed_at": null, "description_excerpt": "Flink Lead Software Engineer California - San Francisco Sales Cloud AI is revolutionizing how organizations strategize, execute, and refine their lead outreach and pipeline management. We are looking for engineers to develop the Sales Intelligence Platform (SIP) within Sales Cloud. In this role, you will be responsible for the architecture, development, and operation of a high-scale, low-latency platform that manages real-time ingestion and streaming pipelines. The Sales Intelligence Platform (SIP) processes conversational data from voice, video, and email to power various Sales Cloud AI agents. These agents provide tools for lead outreach and pipeline management, significantly boosting sales productivity. By generating intelligent insights from conversational data, the platform empowers sellers to enhance their overall efficiency. Required skills and experience Degree in Computer Science (B.S. required, M.S. preferred) with a solid grasp of object-oriented design and principles. Over 7+ years of practical experience architecting, implementing, and managing durable distributed systems at scale for major enterprise cloud providers. Proven track record in constructing high-availability, large-scale distributed architectures for client-facing environments. Hands-on experience with building big data high availability pipelines with Flink Demonstrated experience acting as a CI/CD champion, with a proven ability to uplift and mentor teams in best practices and automation. Extensive knowledge of contemporary public cloud frameworks (including AWS, GCP, or Azure) and high-performance backend infrastructure. Proficiency in object-oriented programming with mastery in at least one language such as Java, Go, Python, C++, or Ruby. Familiarity with infrastructure automation, cloud provisioning, and AI-assisted development methodologies. Strong interpersonal and professional communication", "parental_leave_weeks": 26, "non_birth_parent_leave_weeks": 12, "parental_leave_weeks_source": null, "non_birth_parent_leave_weeks_source": null, "parental_leave_source_url": "https://careers.salesforce.com/en/salesforce-stories/wellbeingbenefits/the-benefits-of-parenthood-how-salesforce-supports-growing-families/", "pto_days": null, "unlimited_pto": false, "sabbatical_eligible": false, "family_friendly_score": 93, "benefit_verified": true, "benefit_last_verified": "2026-05-07", "hire_states_allowed": [], "state_eligibility_source": null, "state_eligibility_enriched_at": null, "llm_quality_pass_at": null, "llm_signals_at": "2026-06-20T05:42:05.724Z", "llm_extraction_run_id": "postfix_final_004037", "llm_extraction_extracted_at": null, "llm_extraction_field_sources": { "seniority": { "field": "seniority", "source": "llm:greenfield:inv_371_postfix", "db_column": "seniority" }, "years_min": { "field": "years_min", "source": "llm:greenfield:inv_371_postfix", "db_column": "years_experience_min" }, "k401_match": { "source": "dol_form_5500", "source_url": null, "source_fields": [ "EMPLR_CONTRIB_INCOME_AMT" ], "source_label": "DOL Form 5500 filing" }, "salary_max": { "field": "salary_max", "source": "llm:greenfield:inv_371_postfix", "db_column": "salary_max" }, "salary_min": { "field": "salary_min", "source": "llm:greenfield:inv_371_postfix", "db_column": "salary_min" }, "tech_stack": { "field": "tech_stack", "source": "llm:greenfield:inv_371_postfix", "db_column": "tech_stack" }, "equity_type": { "source": "sec_10k", "source_url": "https://www.sec.gov/Archives/edgar/data/1108524/000110852426000060/crm-20260131.htm", "source_fields": [ "equity_offered", "equity_type" ] }, "role_family": { "field": "role_family", "source": "llm:greenfield:inv_371_postfix", "db_column": "role_family" }, "salary_type": { "field": "salary_type", "source": "llm:greenfield:inv_371_postfix", "db_column": "salary_type" }, "company_stage": { "field": "company_stage", "source": "llm:greenfield:inv_371_postfix", "db_column": "company_stage" }, "customer_type": { "field": "customer_type", "source": "llm:greenfield:inv_371_postfix", "db_column": "customer_type" }, "role_function": { "field": "role_function", "source": "llm:greenfield:inv_371_postfix", "db_column": "role_function" }, "equity_included": { "source": "sec_10k", "source_url": "https://www.sec.gov/Archives/edgar/data/1108524/000110852426000060/crm-20260131.htm", "source_fields": [ "equity_offered", "equity_type" ] }, "visa_sponsorship": { "field": "visa_sponsorship", "source": "llm:greenfield:inv_371_postfix", "db_column": "visa_sponsorship" }, "industry_vertical": { "field": "industry_vertical", "source": "llm:greenfield:inv_371_postfix", "db_column": "industry_vertical" }, "naics_sector_code": { "field": "naics_sector_code", "source": "llm:greenfield:inv_371_postfix", "db_column": "naics_sector_code" }, "education_required": { "field": "education_required", "source": "llm:greenfield:inv_371_postfix", "db_column": "education_required" }, "naics_sector_title": { "field": "naics_sector_title", "source": "llm:greenfield:inv_371_postfix", "db_column": "naics_sector_title" }, "parental_leave_weeks": { "field": "parental_leave_weeks", "source": "https://careers.salesforce.com/en/salesforce-stories/wellbeingbenefits/the-benefits-of-parenthood-how-salesforce-supports-growing-families/", "db_column": "parental_leave_weeks", "source_url": "https://careers.salesforce.com/en/salesforce-stories/wellbeingbenefits/the-benefits-of-parenthood-how-salesforce-supports-growing-families/" }, "non_birth_parent_leave_weeks": { "field": "non_birth_parent_leave_weeks", "source": "llm:greenfield:inv_371_postfix", "db_column": "non_birth_parent_leave_weeks" } }, "seniority": "senior", "seniority_source": "llm:greenfield:inv_371_postfix", "years_experience_min": 7, "years_experience_max": 9, "role_function": "engineering", "role_function_source": "llm:greenfield:inv_371_postfix", "company_stage": "public-company", "company_stage_source": "llm:greenfield:inv_371_postfix", "employer_industry": "Technology", "employer_industry_source": "wikidata_sparql_industry", "employer_size": "5000+", "quality_score": 55, "travel_pct": null, "requires_shift": null, "shift_type": "unknown", "shift_type_source": null, "weekend_work": "unknown", "weekend_work_source": null, "relocation_assistance_source": null, "contractor_w2": "unknown", "required_timezone": null, "fertility_family_building_benefits_source": null, "mental_health_support_source": null, "adoption_assistance_offered_source": null, "childcare_subsidy_source": null, "learning_budget_offered_source": null, "surrogacy_assistance_offered_source": null, "cover_letter_required": null, "cover_letter_required_source": null, "assessment_required": null, "assessment_required_source": null, "application_deadline": null, "application_deadline_source": null, "visa_sponsorship": true, "us_citizenship_required": false, "security_clearance": "none", "education_required": "bachelors", "roll_up_count": null, "roll_up_total_locations": null, "explanations": [ { "schema_version": "inv382.match_signal.v1", "signal_id": "sig.query.description_excerpt.4a43e7338fbc9e2bd8", "query_id": "gq_99e1b305e21f24a9d00b", "job_id": "c4887c5121e0ffd8b5196c5261e6b9d3", "signal_type": "query_match", "display_text": "Description: \"flink\"", "tooltip": "Description matched \"flink\" from your search.", "source_binding": "bm25_field_evidence", "source_field": "description_excerpt", "source_value": "Flink Lead Software Engineer California - San Francisco Sales Cloud AI is revolutionizing how organizations strategize, execute, and refine their lead outreach and pipeline management. We are looking for engineers to develop the Sales Intelligence Platform (SIP) within Sales Cloud. In this role, you will be responsible for the architecture, development, and operation of a high-scale, low-latency platform that manages real-time ingestion and streaming pipelines. The Sales Intelligence Platform (SIP) processes conversational data from voice, video, and email to power various Sales Cloud AI agents. These agents provide tools for lead outreach and pipeline management, significantly boosting sales productivity. By generating intelligent insights from conversational data, the platform empowers sellers to enhance their overall efficiency. Required skills and experience Degree in Computer Science (B.S. required, M.S. preferred) with a solid grasp of object-oriented design and principles. Over 7+ years of practical experience architecting, implementing, and managing durable distributed systems at scale for major enterprise cloud providers. Proven track record in constructing high-availability, large-scale distributed architectures for client-facing environments. Hands-on experience with building big data high availability pipelines with Flink Demonstrated experience acting as a CI/CD champion, with a proven ability to uplift and mentor teams in best practices and automation. Extensive knowledge of contemporary public cloud frameworks (including AWS, GCP, or Azure) and high-performance backend infrastructure. Proficiency in object-oriented programming with mastery in at least one language such as Java, Go, Python, C++, or Ruby. Familiarity with infrastructure automation, cloud provisioning, and AI-assisted development methodologies. Strong interpersonal and professional communication", "matched_input": "flink", "derivation_source": "candidate_result.raw_match_evidence", "candidate_evidence_id": "ev:gq_99e1b305e21f24a9d00b:c4887c5121e0ffd8b5196c5261e6b9d3:description:flink", "rerank_evidence_id": null, "taxonomy_alias_id": null, "oracle_verification_method": "candidate_evidence_exists", "counts_for_non_trivial_query": true, "truth_verified": true, "exact": true, "priority": 90, "mobile_priority": 1, "ui": { "icon": "Search", "tone": "match", "href": null } }, { "schema_version": "inv382.match_signal.v1", "signal_id": "sig.query.title.92a7bea6185e150845", "query_id": "gq_99e1b305e21f24a9d00b", "job_id": "c4887c5121e0ffd8b5196c5261e6b9d3", "signal_type": "query_match", "display_text": "Title: \"flink\"", "tooltip": "Title matched \"flink\" from your search.", "source_binding": "bm25_field_evidence", "source_field": "title", "source_value": "Flink Lead Software Engineer", "matched_input": "flink", "derivation_source": "candidate_result.raw_match_evidence", "candidate_evidence_id": "ev:gq_99e1b305e21f24a9d00b:c4887c5121e0ffd8b5196c5261e6b9d3:title:flink", "rerank_evidence_id": null, "taxonomy_alias_id": null, "oracle_verification_method": "candidate_evidence_exists", "counts_for_non_trivial_query": true, "truth_verified": true, "exact": true, "priority": 90, "mobile_priority": 1, "ui": { "icon": "Search", "tone": "match", "href": null } }, { "schema_version": "inv382.match_signal.v1", "signal_id": "sig.semantic.title.c2bbe59c603b358b8c", "query_id": "gq_99e1b305e21f24a9d00b", "job_id": "c4887c5121e0ffd8b5196c5261e6b9d3", "signal_type": "query_match", "display_text": "Title: semantic match", "tooltip": "Title provided semantic evidence for your search intent.", "source_binding": "reranker_semantic_evidence", "source_field": "title", "source_value": "Flink Lead Software Engineer", "matched_input": "flink", "derivation_source": "rerank_result.semantic_evidence", "candidate_evidence_id": null, "rerank_evidence_id": "rerank:da65291f53ed45f497f2e57e", "taxonomy_alias_id": null, "oracle_verification_method": "reranker_evidence_exists", "counts_for_non_trivial_query": true, "truth_verified": true, "exact": false, "priority": 86, "mobile_priority": 2, "ui": { "icon": "Sparkles", "tone": "match", "href": null } }, { "schema_version": "inv382.match_signal.v1", "signal_id": "sig.query.title.d9acb40c5066f054fa", "query_id": "gq_99e1b305e21f24a9d00b", "job_id": "c4887c5121e0ffd8b5196c5261e6b9d3", "signal_type": "query_match", "display_text": "Title: \"flink\"", "tooltip": "Title contains \"flink\" from your search.", "source_binding": "token_match", "source_field": "title", "source_value": "Flink Lead Software Engineer", "matched_input": "flink", "derivation_source": "row_field", "candidate_evidence_id": null, "rerank_evidence_id": null, "taxonomy_alias_id": null, "oracle_verification_method": "row_field_contains", "counts_for_non_trivial_query": true, "truth_verified": true, "exact": true, "priority": 80, "mobile_priority": 2, "ui": { "icon": "SearchCheck", "tone": "match", "href": null } }, { "schema_version": "inv382.match_signal.v1", "signal_id": "sig.semantic.role_function.6b4314940fbdce9efa", "query_id": "gq_99e1b305e21f24a9d00b", "job_id": "c4887c5121e0ffd8b5196c5261e6b9d3", "signal_type": "query_match", "display_text": "Role: semantic match", "tooltip": "Role provided semantic evidence for your search intent.", "source_binding": "vector_semantic_evidence", "source_field": "role_function", "source_value": "engineering", "matched_input": "flink", "derivation_source": "candidate_result.raw_match_evidence", "candidate_evidence_id": "ev:gq_99e1b305e21f24a9d00b:c4887c5121e0ffd8b5196c5261e6b9d3:vector", "rerank_evidence_id": null, "taxonomy_alias_id": null, "oracle_verification_method": "candidate_evidence_exists", "counts_for_non_trivial_query": true, "truth_verified": true, "exact": false, "priority": 74, "mobile_priority": 2, "ui": { "icon": "Sparkles", "tone": "match", "href": null } } ], "source_label": "DOL Form 5500 filing", "parental_leave_source_label": "Employer benefits source", "k401_match_source_label": "DOL Form 5500 filing", "k401_contribution_source_label": "DOL Form 5500 filing", "apply_url_checked_at": null, "apply_url_verification_status": "not_reachable_or_not_checked", "apply_url_verification_label": "Not checked or not reachable at last crawl", "field_source_signals": { "salary_min": { "tier": "posting", "verified": true, "label": "From the posting", "source_label": "the posting", "href": "https://careers.salesforce.com/en/jobs/jr343322/flink-lead-software-engineer/", "source_values": [ "llm:greenfield:inv_371_postfix" ], "checked_at": "2026-06-20T05:42:05.724Z" }, "salary_max": { "tier": "posting", "verified": true, "label": "From the posting", "source_label": "the posting", "href": "https://careers.salesforce.com/en/jobs/jr343322/flink-lead-software-engineer/", "source_values": [ "llm:greenfield:inv_371_postfix" ], "checked_at": "2026-06-20T05:42:05.724Z" }, "salary_type": { "tier": "posting", "verified": true, "label": "From the posting", "source_label": "the posting", "href": "https://careers.salesforce.com/en/jobs/jr343322/flink-lead-software-engineer/", "source_values": [ "llm:greenfield:inv_371_postfix" ], "checked_at": "2026-06-20T05:42:05.724Z" }, "equity_included": { "tier": "government", "verified": true, "label": "Verified - SEC 10-K", "source_label": "SEC 10-K", "href": "https://www.sec.gov/Archives/edgar/data/1108524/000110852426000060/crm-20260131.htm", "source_values": [ "sec_10k", "https://www.sec.gov/Archives/edgar/data/1108524/000110852426000060/crm-20260131.htm" ], "checked_at": "2026-06-20T05:42:05.724Z" }, "parental_leave_weeks": { "tier": "posting", "verified": true, "label": "From the posting", "source_label": "the posting", "href": "https://careers.salesforce.com/en/jobs/jr343322/flink-lead-software-engineer/", "source_values": [ "https://careers.salesforce.com/en/salesforce-stories/wellbeingbenefits/the-benefits-of-parenthood-how-salesforce-supports-growing-families/" ], "checked_at": "2026-05-07" }, "non_birth_parent_leave_weeks": { "tier": "posting", "verified": true, "label": "From the posting", "source_label": "the posting", "href": "https://careers.salesforce.com/en/jobs/jr343322/flink-lead-software-engineer/", "source_values": [ "llm:greenfield:inv_371_postfix" ], "checked_at": "2026-05-07" }, "k401_match": { "tier": "government", "verified": true, "label": "Verified - DOL Form 5500", "source_label": "DOL Form 5500", "href": null, "source_values": [ "dol_form_5500", "EMPLR_CONTRIB_INCOME_AMT" ], "checked_at": "2026-05-07" }, "seniority": { "tier": "posting", "verified": true, "label": "From the posting", "source_label": "the posting", "href": "https://careers.salesforce.com/en/jobs/jr343322/flink-lead-software-engineer/", "source_values": [ "llm:greenfield:inv_371_postfix" ], "checked_at": "2026-06-20T05:42:05.724Z" }, "role_function": { "tier": "posting", "verified": true, "label": "From the posting", "source_label": "the posting", "href": "https://careers.salesforce.com/en/jobs/jr343322/flink-lead-software-engineer/", "source_values": [ "llm:greenfield:inv_371_postfix" ], "checked_at": "2026-06-20T05:42:05.724Z" }, "company_stage": { "tier": "posting", "verified": true, "label": "From the posting", "source_label": "the posting", "href": "https://careers.salesforce.com/en/jobs/jr343322/flink-lead-software-engineer/", "source_values": [ "llm:greenfield:inv_371_postfix" ], "checked_at": "2026-06-20T05:42:05.724Z" }, "employer_industry": { "tier": "government", "verified": true, "label": "Verified - Wikidata", "source_label": "Wikidata", "href": null, "source_values": [ "wikidata_sparql_industry" ], "checked_at": "2026-06-20T05:42:05.724Z" } } }, { "id": "988b634d67d670e7bd3a4777c3547f4f", "title": "Staff Software Engineer - Flink SQL", "employer_name": "Confluent", "employer_slug": "confluent", "location_text": "Remote, United States | Remote", "country": "US", "employment_type": "unknown", "remote_status": "remote", "remote_status_source": null, "remote_status_enriched_at": null, "days_in_office": 0, "timezone_overlap_hours": 6, "salary_min": null, "salary_max": null, "salary_min_source": null, "salary_max_source": null, "salary_currency": "USD", "salary_type": "unknown", "salary_type_source": null, "salary_type_enriched_at": null, "salary_period": null, "base_salary_min": null, "base_salary_max": null, "salary_disclosed": false, "equity_included": false, "equity_included_source": null, "equity_type": [ "none" ], "k401_match": "yes", "match_401k_pct": null, "match_401k_pct_source": null, "k401_match_source_url": null, "k401_match_source_fields": [ "EMPLR_CONTRIB_INCOME_AMT" ], "k401_contribution_source_url": null, "k401_contribution_source_fields": [ "EMPLR_CONTRIB_INCOME_AMT" ], "profit_sharing": false, "bonus_offered": false, "mental_health_support": null, "childcare_subsidy": null, "fertility_family_building_benefits": null, "adoption_assistance_offered": null, "surrogacy_assistance_offered": null, "student_loan_repayment_offered": null, "learning_budget_offered": null, "relocation_assistance": null, "top_startup_sources": [], "posted_at": "2026-06-10T03:52:15.000Z", "apply_url": "https://jobs.ashbyhq.com/confluent/79c5035c-4266-40f0-86e1-84d067ed77b1", "apply_url_verified": false, "ats": "ashby", "url_last_checked_alive": null, "removed_at": null, "description_excerpt": "Staff Software Engineer - Flink SQL Remote, United States | Remote We're not just building better tech. We're rewriting how data moves and what the world can do with it. With Confluent, data doesn't sit still. Our platform puts information in motion, streaming in near real-time so companies can react faster, build smarter, and deliver experiences as dynamic as the world around them. It takes a certain kind of person to join this team. Those who ask hard questions, give honest feedback, and show up for each other. No egos, no solo acts. Just smart, curious humans pushing toward something bigger, together. One Confluent. One Team. One Data Streaming Platform. ABOUT THE ROLE: Confluent is seeking an innovative and executing Staff Engineer to help make stream processing feel like using a database with SQL. In this role, you will be instrumental in developing the core building blocks that will allow users a true just-in time, consumption based experience, making it the most efficient and fast cloud native Apache Flink experience on the market. You will be working in a team with other known Flink experts iterating on an already existing implementation based on actual usage data and product requirements. With the team you will also be working on relevant components of open source Apache Flink that will benefit both the Open Source community as well as Confluent. WHAT YOU WILL DO: - Work on the next iterations of Flink SQL components such as logical query planner, parser, optimizer and SQL", "parental_leave_weeks": null, "non_birth_parent_leave_weeks": null, "parental_leave_weeks_source": null, "non_birth_parent_leave_weeks_source": null, "parental_leave_source_url": null, "pto_days": null, "unlimited_pto": false, "sabbatical_eligible": false, "family_friendly_score": 48, "benefit_verified": true, "benefit_last_verified": "2026-06-07T00:00:00Z", "hire_states_allowed": [], "state_eligibility_source": null, "state_eligibility_enriched_at": null, "llm_quality_pass_at": null, "llm_signals_at": "2026-06-20T05:42:05.724Z", "llm_extraction_run_id": "postfix_final_004037", "llm_extraction_extracted_at": null, "llm_extraction_field_sources": { "seniority": { "field": "seniority", "source": "llm:greenfield:inv_371_postfix", "db_column": "seniority" }, "k401_match": { "source": "dol_form_5500", "source_url": null, "source_fields": [ "EMPLR_CONTRIB_INCOME_AMT" ], "source_label": "DOL Form 5500 filing" }, "tech_stack": { "field": "tech_stack", "source": "llm:greenfield:inv_371_postfix", "db_column": "tech_stack" }, "role_family": { "field": "role_family", "source": "llm:greenfield:inv_371_postfix", "db_column": "role_family" }, "salary_type": { "field": "salary_type", "source": "llm:greenfield:inv_371_postfix", "db_column": "salary_type" }, "company_stage": { "field": "company_stage", "source": "llm:greenfield:inv_371_postfix", "db_column": "company_stage" }, "customer_type": { "field": "customer_type", "source": "llm:greenfield:inv_371_postfix", "db_column": "customer_type" }, "remote_status": { "field": "remote_status", "source": "rule:remote_status", "db_column": "remote_status" }, "role_function": { "field": "role_function", "source": "llm:greenfield:inv_371_postfix", "db_column": "role_function" }, "days_in_office": { "field": "days_in_office", "source": "rule:remote_status", "db_column": "days_in_office" }, "visa_sponsorship": { "field": "visa_sponsorship", "source": "llm:greenfield:inv_371_postfix", "db_column": "visa_sponsorship" }, "education_required": { "field": "education_required", "source": "llm:greenfield:inv_371_postfix", "db_column": "education_required" } }, "seniority": "staff_plus", "seniority_source": "llm:greenfield:inv_371_postfix", "years_experience_min": 3, "years_experience_max": 7, "role_function": "engineering", "role_function_source": "llm:greenfield:inv_371_postfix", "company_stage": "public-company", "company_stage_source": "llm:greenfield:inv_371_postfix", "employer_industry": null, "employer_industry_source": null, "employer_size": null, "quality_score": 45, "travel_pct": null, "requires_shift": null, "shift_type": "unknown", "shift_type_source": null, "weekend_work": "unknown", "weekend_work_source": null, "relocation_assistance_source": null, "contractor_w2": "unknown", "required_timezone": null, "fertility_family_building_benefits_source": null, "mental_health_support_source": null, "adoption_assistance_offered_source": null, "childcare_subsidy_source": null, "learning_budget_offered_source": null, "surrogacy_assistance_offered_source": null, "cover_letter_required": null, "cover_letter_required_source": null, "assessment_required": null, "assessment_required_source": null, "application_deadline": null, "application_deadline_source": null, "visa_sponsorship": true, "us_citizenship_required": false, "security_clearance": "none", "education_required": "none", "roll_up_count": null, "roll_up_total_locations": null, "explanations": [ { "schema_version": "inv382.match_signal.v1", "signal_id": "sig.query.description_excerpt.e6330d232deffd3dc6", "query_id": "gq_99e1b305e21f24a9d00b", "job_id": "988b634d67d670e7bd3a4777c3547f4f", "signal_type": "query_match", "display_text": "Description: \"flink\"", "tooltip": "Description matched \"flink\" from your search.", "source_binding": "bm25_field_evidence", "source_field": "description_excerpt", "source_value": "Staff Software Engineer - Flink SQL Remote, United States | Remote We're not just building better tech. We're rewriting how data moves and what the world can do with it. With Confluent, data doesn't sit still. Our platform puts information in motion, streaming in near real-time so companies can react faster, build smarter, and deliver experiences as dynamic as the world around them. It takes a certain kind of person to join this team. Those who ask hard questions, give honest feedback, and show up for each other. No egos, no solo acts. Just smart, curious humans pushing toward something bigger, together. One Confluent. One Team. One Data Streaming Platform. ABOUT THE ROLE: Confluent is seeking an innovative and executing Staff Engineer to help make stream processing feel like using a database with SQL. In this role, you will be instrumental in developing the core building blocks that will allow users a true just-in time, consumption based experience, making it the most efficient and fast cloud native Apache Flink experience on the market. You will be working in a team with other known Flink experts iterating on an already existing implementation based on actual usage data and product requirements. With the team you will also be working on relevant components of open source Apache Flink that will benefit both the Open Source community as well as Confluent. WHAT YOU WILL DO: - Work on the next iterations of Flink SQL components such as logical query planner, parser, optimizer and SQL", "matched_input": "flink", "derivation_source": "candidate_result.raw_match_evidence", "candidate_evidence_id": "ev:gq_99e1b305e21f24a9d00b:988b634d67d670e7bd3a4777c3547f4f:description:flink", "rerank_evidence_id": null, "taxonomy_alias_id": null, "oracle_verification_method": "candidate_evidence_exists", "counts_for_non_trivial_query": true, "truth_verified": true, "exact": true, "priority": 90, "mobile_priority": 1, "ui": { "icon": "Search", "tone": "match", "href": null } }, { "schema_version": "inv382.match_signal.v1", "signal_id": "sig.query.title.f86fe5ab21d7dd5505", "query_id": "gq_99e1b305e21f24a9d00b", "job_id": "988b634d67d670e7bd3a4777c3547f4f", "signal_type": "query_match", "display_text": "Title: \"flink\"", "tooltip": "Title matched \"flink\" from your search.", "source_binding": "bm25_field_evidence", "source_field": "title", "source_value": "Staff Software Engineer - Flink SQL", "matched_input": "flink", "derivation_source": "candidate_result.raw_match_evidence", "candidate_evidence_id": "ev:gq_99e1b305e21f24a9d00b:988b634d67d670e7bd3a4777c3547f4f:title:flink", "rerank_evidence_id": null, "taxonomy_alias_id": null, "oracle_verification_method": "candidate_evidence_exists", "counts_for_non_trivial_query": true, "truth_verified": true, "exact": true, "priority": 90, "mobile_priority": 1, "ui": { "icon": "Search", "tone": "match", "href": null } }, { "schema_version": "inv382.match_signal.v1", "signal_id": "sig.semantic.title.6ddd1ea4e076d4647c", "query_id": "gq_99e1b305e21f24a9d00b", "job_id": "988b634d67d670e7bd3a4777c3547f4f", "signal_type": "query_match", "display_text": "Title: semantic match", "tooltip": "Title provided semantic evidence for your search intent.", "source_binding": "reranker_semantic_evidence", "source_field": "title", "source_value": "Staff Software Engineer - Flink SQL", "matched_input": "flink", "derivation_source": "rerank_result.semantic_evidence", "candidate_evidence_id": null, "rerank_evidence_id": "rerank:09ca7a5c7127f958cd0a6117", "taxonomy_alias_id": null, "oracle_verification_method": "reranker_evidence_exists", "counts_for_non_trivial_query": true, "truth_verified": true, "exact": false, "priority": 86, "mobile_priority": 2, "ui": { "icon": "Sparkles", "tone": "match", "href": null } }, { "schema_version": "inv382.match_signal.v1", "signal_id": "sig.query.title.d3f8136ec51026264f", "query_id": "gq_99e1b305e21f24a9d00b", "job_id": "988b634d67d670e7bd3a4777c3547f4f", "signal_type": "query_match", "display_text": "Title: \"flink\"", "tooltip": "Title contains \"flink\" from your search.", "source_binding": "token_match", "source_field": "title", "source_value": "Staff Software Engineer - Flink SQL", "matched_input": "flink", "derivation_source": "row_field", "candidate_evidence_id": null, "rerank_evidence_id": null, "taxonomy_alias_id": null, "oracle_verification_method": "row_field_contains", "counts_for_non_trivial_query": true, "truth_verified": true, "exact": true, "priority": 80, "mobile_priority": 2, "ui": { "icon": "SearchCheck", "tone": "match", "href": null } }, { "schema_version": "inv382.match_signal.v1", "signal_id": "sig.semantic.role_function.c4086e9bac61851be5", "query_id": "gq_99e1b305e21f24a9d00b", "job_id": "988b634d67d670e7bd3a4777c3547f4f", "signal_type": "query_match", "display_text": "Role: semantic match", "tooltip": "Role provided semantic evidence for your search intent.", "source_binding": "vector_semantic_evidence", "source_field": "role_function", "source_value": "engineering", "matched_input": "flink", "derivation_source": "candidate_result.raw_match_evidence", "candidate_evidence_id": "ev:gq_99e1b305e21f24a9d00b:988b634d67d670e7bd3a4777c3547f4f:vector", "rerank_evidence_id": null, "taxonomy_alias_id": null, "oracle_verification_method": "candidate_evidence_exists", "counts_for_non_trivial_query": true, "truth_verified": true, "exact": false, "priority": 74, "mobile_priority": 2, "ui": { "icon": "Sparkles", "tone": "match", "href": null } } ], "source_label": "DOL Form 5500 filing", "parental_leave_source_label": null, "k401_match_source_label": "DOL Form 5500 filing", "k401_contribution_source_label": "DOL Form 5500 filing", "apply_url_checked_at": null, "apply_url_verification_status": "not_reachable_or_not_checked", "apply_url_verification_label": "Not checked or not reachable at last crawl", "field_source_signals": { "remote_status": { "tier": "posting", "verified": true, "label": "From the posting", "source_label": "the posting", "href": "https://jobs.ashbyhq.com/confluent/79c5035c-4266-40f0-86e1-84d067ed77b1", "source_values": [ "rule:remote_status" ], "checked_at": "2026-06-20T05:42:05.724Z" }, "equity_included": { "tier": "inferred", "verified": false, "label": "Inferred - source not recorded", "source_label": "source not recorded", "href": null, "source_values": [], "checked_at": "2026-06-20T05:42:05.724Z" }, "k401_match": { "tier": "government", "verified": true, "label": "Verified - DOL Form 5500", "source_label": "DOL Form 5500", "href": null, "source_values": [ "dol_form_5500", "EMPLR_CONTRIB_INCOME_AMT" ], "checked_at": "2026-06-07T00:00:00Z" }, "seniority": { "tier": "posting", "verified": true, "label": "From the posting", "source_label": "the posting", "href": "https://jobs.ashbyhq.com/confluent/79c5035c-4266-40f0-86e1-84d067ed77b1", "source_values": [ "llm:greenfield:inv_371_postfix" ], "checked_at": "2026-06-20T05:42:05.724Z" }, "role_function": { "tier": "posting", "verified": true, "label": "From the posting", "source_label": "the posting", "href": "https://jobs.ashbyhq.com/confluent/79c5035c-4266-40f0-86e1-84d067ed77b1", "source_values": [ "llm:greenfield:inv_371_postfix" ], "checked_at": "2026-06-20T05:42:05.724Z" }, "company_stage": { "tier": "posting", "verified": true, "label": "From the posting", "source_label": "the posting", "href": "https://jobs.ashbyhq.com/confluent/79c5035c-4266-40f0-86e1-84d067ed77b1", "source_values": [ "llm:greenfield:inv_371_postfix" ], "checked_at": "2026-06-20T05:42:05.724Z" } } }, { "id": "e36fcaaed6a44e18b6ce3ac27098df4d", "title": "Senior Engineering Manager, Flink Control Plane", "employer_name": "Confluent", "employer_slug": "confluent", "location_text": "Remote, California | Remote", "country": "US", "employment_type": "unknown", "remote_status": "remote", "remote_status_source": null, "remote_status_enriched_at": null, "days_in_office": 0, "timezone_overlap_hours": 6, "salary_min": null, "salary_max": null, "salary_min_source": null, "salary_max_source": null, "salary_currency": "UNSPECIFIED", "salary_type": "unknown", "salary_type_source": null, "salary_type_enriched_at": null, "salary_period": null, "base_salary_min": null, "base_salary_max": null, "salary_disclosed": false, "equity_included": false, "equity_included_source": null, "equity_type": [ "none" ], "k401_match": "yes", "match_401k_pct": null, "match_401k_pct_source": null, "k401_match_source_url": null, "k401_match_source_fields": [ "EMPLR_CONTRIB_INCOME_AMT" ], "k401_contribution_source_url": null, "k401_contribution_source_fields": [ "EMPLR_CONTRIB_INCOME_AMT" ], "profit_sharing": false, "bonus_offered": false, "mental_health_support": null, "childcare_subsidy": null, "fertility_family_building_benefits": null, "adoption_assistance_offered": null, "surrogacy_assistance_offered": null, "student_loan_repayment_offered": null, "learning_budget_offered": null, "relocation_assistance": null, "top_startup_sources": [], "posted_at": "2026-06-10T03:52:15.000Z", "apply_url": "https://jobs.ashbyhq.com/confluent/f6b05632-b694-49bf-9464-0af5430c8c6c", "apply_url_verified": false, "ats": "ashby", "url_last_checked_alive": null, "removed_at": null, "description_excerpt": "Senior Engineering Manager, Flink Control Plane Remote, California | Remote We're not just building better tech. We're rewriting how data moves and what the world can do with it. With Confluent, data doesn't sit still. Our platform puts information in motion, streaming in near real-time so companies can react faster, build smarter, and deliver experiences as dynamic as the world around them. It takes a certain kind of person to join this team. Those who ask hard questions, give honest feedback, and show up for each other. No egos, no solo acts. Just smart, curious humans pushing toward something bigger, together. One Confluent. One Team. One Data Streaming Platform. ABOUT THE ROLE: The Flink Platform team is at the forefront of building a robust, serverless control plane for Confluent's fully managed Flink offering. As the Senior Engineering Manager, you will lead a high-impact team of approximately 10 engineers-including two Staff-level individual contributors-responsible for the \"brain\" of our streaming service. You will own the customer-facing Flink REST API and Gateway, the Kubernetes operators that orchestrate Flink job lifecycles (submission, scaling, recovery), and the declarative API server that backs them - the stack every Flink customer interaction flows through. Your team is responsible for multi-tenant isolation, end-to-end reliability, and the integration points between Confluent's global control plane and the regional Flink data plane. This is a critical leadership role where you will balance deep technical strategy-driving architectural excellence and reliability-with a strong focus on people leadership, specifically growing a talented group of", "parental_leave_weeks": null, "non_birth_parent_leave_weeks": null, "parental_leave_weeks_source": null, "non_birth_parent_leave_weeks_source": null, "parental_leave_source_url": null, "pto_days": null, "unlimited_pto": false, "sabbatical_eligible": false, "family_friendly_score": 48, "benefit_verified": true, "benefit_last_verified": "2026-06-07T00:00:00Z", "hire_states_allowed": [], "state_eligibility_source": null, "state_eligibility_enriched_at": null, "llm_quality_pass_at": null, "llm_signals_at": "2026-06-20T05:42:05.724Z", "llm_extraction_run_id": "postfix_final_004037", "llm_extraction_extracted_at": null, "llm_extraction_field_sources": { "seniority": { "field": "seniority", "source": "llm:greenfield:inv_371_postfix", "db_column": "seniority" }, "k401_match": { "source": "dol_form_5500", "source_url": null, "source_fields": [ "EMPLR_CONTRIB_INCOME_AMT" ], "source_label": "DOL Form 5500 filing" }, "tech_stack": { "field": "tech_stack", "source": "llm:greenfield:inv_371_postfix", "db_column": "tech_stack" }, "role_family": { "field": "role_family", "source": "llm:greenfield:inv_371_postfix", "db_column": "role_family" }, "salary_type": { "field": "salary_type", "source": "llm:greenfield:inv_371_postfix", "db_column": "salary_type" }, "company_stage": { "field": "company_stage", "source": "llm:greenfield:inv_371_postfix", "db_column": "company_stage" }, "customer_type": { "field": "customer_type", "source": "llm:greenfield:inv_371_postfix", "db_column": "customer_type" }, "remote_status": { "field": "remote_status", "source": "rule:remote_status", "db_column": "remote_status" }, "role_function": { "field": "role_function", "source": "llm:greenfield:inv_371_postfix", "db_column": "role_function" }, "days_in_office": { "field": "days_in_office", "source": "rule:remote_status", "db_column": "days_in_office" }, "visa_sponsorship": { "field": "visa_sponsorship", "source": "llm:greenfield:inv_371_postfix", "db_column": "visa_sponsorship" }, "education_required": { "field": "education_required", "source": "llm:greenfield:inv_371_postfix", "db_column": "education_required" } }, "seniority": "senior", "seniority_source": "llm:greenfield:inv_371_postfix", "years_experience_min": 5, "years_experience_max": 9, "role_function": "engineering", "role_function_source": "llm:greenfield:inv_371_postfix", "company_stage": "public-company", "company_stage_source": "llm:greenfield:inv_371_postfix", "employer_industry": null, "employer_industry_source": null, "employer_size": null, "quality_score": 45, "travel_pct": null, "requires_shift": null, "shift_type": "unknown", "shift_type_source": null, "weekend_work": "unknown", "weekend_work_source": null, "relocation_assistance_source": null, "contractor_w2": "unknown", "required_timezone": null, "fertility_family_building_benefits_source": null, "mental_health_support_source": null, "adoption_assistance_offered_source": null, "childcare_subsidy_source": null, "learning_budget_offered_source": null, "surrogacy_assistance_offered_source": null, "cover_letter_required": null, "cover_letter_required_source": null, "assessment_required": null, "assessment_required_source": null, "application_deadline": null, "application_deadline_source": null, "visa_sponsorship": true, "us_citizenship_required": false, "security_clearance": "none", "education_required": "none", "roll_up_count": null, "roll_up_total_locations": null, "explanations": [ { "schema_version": "inv382.match_signal.v1", "signal_id": "sig.query.description_excerpt.19f28d14d144efd699", "query_id": "gq_99e1b305e21f24a9d00b", "job_id": "e36fcaaed6a44e18b6ce3ac27098df4d", "signal_type": "query_match", "display_text": "Description: \"flink\"", "tooltip": "Description matched \"flink\" from your search.", "source_binding": "bm25_field_evidence", "source_field": "description_excerpt", "source_value": "Senior Engineering Manager, Flink Control Plane Remote, California | Remote We're not just building better tech. We're rewriting how data moves and what the world can do with it. With Confluent, data doesn't sit still. Our platform puts information in motion, streaming in near real-time so companies can react faster, build smarter, and deliver experiences as dynamic as the world around them. It takes a certain kind of person to join this team. Those who ask hard questions, give honest feedback, and show up for each other. No egos, no solo acts. Just smart, curious humans pushing toward something bigger, together. One Confluent. One Team. One Data Streaming Platform. ABOUT THE ROLE: The Flink Platform team is at the forefront of building a robust, serverless control plane for Confluent's fully managed Flink offering. As the Senior Engineering Manager, you will lead a high-impact team of approximately 10 engineers-including two Staff-level individual contributors-responsible for the \"brain\" of our streaming service. You will own the customer-facing Flink REST API and Gateway, the Kubernetes operators that orchestrate Flink job lifecycles (submission, scaling, recovery), and the declarative API server that backs them - the stack every Flink customer interaction flows through. Your team is responsible for multi-tenant isolation, end-to-end reliability, and the integration points between Confluent's global control plane and the regional Flink data plane. This is a critical leadership role where you will balance deep technical strategy-driving architectural excellence and reliability-with a strong focus on people leadership, specifically growing a talented group of", "matched_input": "flink", "derivation_source": "candidate_result.raw_match_evidence", "candidate_evidence_id": "ev:gq_99e1b305e21f24a9d00b:e36fcaaed6a44e18b6ce3ac27098df4d:description:flink", "rerank_evidence_id": null, "taxonomy_alias_id": null, "oracle_verification_method": "candidate_evidence_exists", "counts_for_non_trivial_query": true, "truth_verified": true, "exact": true, "priority": 90, "mobile_priority": 1, "ui": { "icon": "Search", "tone": "match", "href": null } }, { "schema_version": "inv382.match_signal.v1", "signal_id": "sig.query.title.9af730a30873cd88e5", "query_id": "gq_99e1b305e21f24a9d00b", "job_id": "e36fcaaed6a44e18b6ce3ac27098df4d", "signal_type": "query_match", "display_text": "Title: \"flink\"", "tooltip": "Title matched \"flink\" from your search.", "source_binding": "bm25_field_evidence", "source_field": "title", "source_value": "Senior Engineering Manager, Flink Control Plane", "matched_input": "flink", "derivation_source": "candidate_result.raw_match_evidence", "candidate_evidence_id": "ev:gq_99e1b305e21f24a9d00b:e36fcaaed6a44e18b6ce3ac27098df4d:title:flink", "rerank_evidence_id": null, "taxonomy_alias_id": null, "oracle_verification_method": "candidate_evidence_exists", "counts_for_non_trivial_query": true, "truth_verified": true, "exact": true, "priority": 90, "mobile_priority": 1, "ui": { "icon": "Search", "tone": "match", "href": null } }, { "schema_version": "inv382.match_signal.v1", "signal_id": "sig.semantic.title.8f3fd5d31e1bf98030", "query_id": "gq_99e1b305e21f24a9d00b", "job_id": "e36fcaaed6a44e18b6ce3ac27098df4d", "signal_type": "query_match", "display_text": "Title: semantic match", "tooltip": "Title provided semantic evidence for your search intent.", "source_binding": "reranker_semantic_evidence", "source_field": "title", "source_value": "Senior Engineering Manager, Flink Control Plane", "matched_input": "flink", "derivation_source": "rerank_result.semantic_evidence", "candidate_evidence_id": null, "rerank_evidence_id": "rerank:8083d7fca604b0c4e126c56c", "taxonomy_alias_id": null, "oracle_verification_method": "reranker_evidence_exists", "counts_for_non_trivial_query": true, "truth_verified": true, "exact": false, "priority": 86, "mobile_priority": 2, "ui": { "icon": "Sparkles", "tone": "match", "href": null } }, { "schema_version": "inv382.match_signal.v1", "signal_id": "sig.query.title.6ba928268574067a66", "query_id": "gq_99e1b305e21f24a9d00b", "job_id": "e36fcaaed6a44e18b6ce3ac27098df4d", "signal_type": "query_match", "display_text": "Title: \"flink\"", "tooltip": "Title contains \"flink\" from your search.", "source_binding": "token_match", "source_field": "title", "source_value": "Senior Engineering Manager, Flink Control Plane", "matched_input": "flink", "derivation_source": "row_field", "candidate_evidence_id": null, "rerank_evidence_id": null, "taxonomy_alias_id": null, "oracle_verification_method": "row_field_contains", "counts_for_non_trivial_query": true, "truth_verified": true, "exact": true, "priority": 80, "mobile_priority": 2, "ui": { "icon": "SearchCheck", "tone": "match", "href": null } }, { "schema_version": "inv382.match_signal.v1", "signal_id": "sig.semantic.role_function.cc0b74cfeed282d955", "query_id": "gq_99e1b305e21f24a9d00b", "job_id": "e36fcaaed6a44e18b6ce3ac27098df4d", "signal_type": "query_match", "display_text": "Role: semantic match", "tooltip": "Role provided semantic evidence for your search intent.", "source_binding": "vector_semantic_evidence", "source_field": "role_function", "source_value": "engineering", "matched_input": "flink", "derivation_source": "candidate_result.raw_match_evidence", "candidate_evidence_id": "ev:gq_99e1b305e21f24a9d00b:e36fcaaed6a44e18b6ce3ac27098df4d:vector", "rerank_evidence_id": null, "taxonomy_alias_id": null, "oracle_verification_method": "candidate_evidence_exists", "counts_for_non_trivial_query": true, "truth_verified": true, "exact": false, "priority": 74, "mobile_priority": 2, "ui": { "icon": "Sparkles", "tone": "match", "href": null } } ], "source_label": "DOL Form 5500 filing", "parental_leave_source_label": null, "k401_match_source_label": "DOL Form 5500 filing", "k401_contribution_source_label": "DOL Form 5500 filing", "apply_url_checked_at": null, "apply_url_verification_status": "not_reachable_or_not_checked", "apply_url_verification_label": "Not checked or not reachable at last crawl", "field_source_signals": { "remote_status": { "tier": "posting", "verified": true, "label": "From the posting", "source_label": "the posting", "href": "https://jobs.ashbyhq.com/confluent/f6b05632-b694-49bf-9464-0af5430c8c6c", "source_values": [ "rule:remote_status" ], "checked_at": "2026-06-20T05:42:05.724Z" }, "equity_included": { "tier": "inferred", "verified": false, "label": "Inferred - source not recorded", "source_label": "source not recorded", "href": null, "source_values": [], "checked_at": "2026-06-20T05:42:05.724Z" }, "k401_match": { "tier": "government", "verified": true, "label": "Verified - DOL Form 5500", "source_label": "DOL Form 5500", "href": null, "source_values": [ "dol_form_5500", "EMPLR_CONTRIB_INCOME_AMT" ], "checked_at": "2026-06-07T00:00:00Z" }, "seniority": { "tier": "posting", "verified": true, "label": "From the posting", "source_label": "the posting", "href": "https://jobs.ashbyhq.com/confluent/f6b05632-b694-49bf-9464-0af5430c8c6c", "source_values": [ "llm:greenfield:inv_371_postfix" ], "checked_at": "2026-06-20T05:42:05.724Z" }, "role_function": { "tier": "posting", "verified": true, "label": "From the posting", "source_label": "the posting", "href": "https://jobs.ashbyhq.com/confluent/f6b05632-b694-49bf-9464-0af5430c8c6c", "source_values": [ "llm:greenfield:inv_371_postfix" ], "checked_at": "2026-06-20T05:42:05.724Z" }, "company_stage": { "tier": "posting", "verified": true, "label": "From the posting", "source_label": "the posting", "href": "https://jobs.ashbyhq.com/confluent/f6b05632-b694-49bf-9464-0af5430c8c6c", "source_values": [ "llm:greenfield:inv_371_postfix" ], "checked_at": "2026-06-20T05:42:05.724Z" } } }, { "id": "f4398a9072aef2c73875f8ea583dce56", "title": "Software Engineer, Flink", "employer_name": "Cloudera", "employer_slug": "cloudera", "location_text": "Hungary > Budapest", "country": "HU", "employment_type": "unknown", "remote_status": "unspecified", "remote_status_source": null, "remote_status_enriched_at": null, "days_in_office": null, "timezone_overlap_hours": 3, "salary_min": null, "salary_max": null, "salary_min_source": null, "salary_max_source": null, "salary_currency": "UNSPECIFIED", "salary_type": "unknown", "salary_type_source": null, "salary_type_enriched_at": null, "salary_period": null, "base_salary_min": null, "base_salary_max": null, "salary_disclosed": false, "equity_included": false, "equity_included_source": null, "equity_type": [ "none" ], "k401_match": "yes", "match_401k_pct": null, "match_401k_pct_source": null, "k401_match_source_url": null, "k401_match_source_fields": [ "EMPLR_CONTRIB_INCOME_AMT" ], "k401_contribution_source_url": null, "k401_contribution_source_fields": [ "EMPLR_CONTRIB_INCOME_AMT" ], "profit_sharing": false, "bonus_offered": false, "mental_health_support": null, "childcare_subsidy": null, "fertility_family_building_benefits": null, "adoption_assistance_offered": null, "surrogacy_assistance_offered": null, "student_loan_repayment_offered": null, "learning_budget_offered": null, "relocation_assistance": null, "top_startup_sources": [], "posted_at": "2026-06-12T00:00:00.000Z", "apply_url": "https://cloudera.wd5.myworkdayjobs.com/External_Career/job/Hungary--Budapest/Software-Engineer--Flink_251511-1", "apply_url_verified": false, "ats": "workday", "url_last_checked_alive": null, "removed_at": null, "description_excerpt": "Software Engineer, Flink Hungary > Budapest posted: Posted Today", "parental_leave_weeks": null, "non_birth_parent_leave_weeks": null, "parental_leave_weeks_source": null, "non_birth_parent_leave_weeks_source": null, "parental_leave_source_url": null, "pto_days": null, "unlimited_pto": false, "sabbatical_eligible": false, "family_friendly_score": 40, "benefit_verified": true, "benefit_last_verified": "2026-06-07T00:00:00Z", "hire_states_allowed": [], "state_eligibility_source": null, "state_eligibility_enriched_at": null, "llm_quality_pass_at": null, "llm_signals_at": null, "llm_extraction_run_id": null, "llm_extraction_extracted_at": null, "llm_extraction_field_sources": { "seniority": { "field": "seniority", "source": "llm:greenfield:inv_371_postfix", "db_column": "seniority" }, "k401_match": { "source": "dol_form_5500", "source_url": null, "source_fields": [ "EMPLR_CONTRIB_INCOME_AMT" ], "source_label": "DOL Form 5500 filing" }, "salary_type": { "field": "salary_type", "source": "llm:greenfield:inv_371_postfix", "db_column": "salary_type" }, "role_function": { "field": "role_function", "source": "rule:title_override", "db_column": "role_function" }, "education_required": { "field": "education_required", "source": "llm:greenfield:inv_371_postfix", "db_column": "education_required" } }, "seniority": "mid", "seniority_source": "llm:greenfield:inv_371_postfix", "years_experience_min": 3, "years_experience_max": 7, "role_function": "engineering", "role_function_source": "rule:title_override", "company_stage": null, "company_stage_source": null, "employer_industry": null, "employer_industry_source": null, "employer_size": null, "quality_score": 35, "travel_pct": null, "requires_shift": null, "shift_type": "unknown", "shift_type_source": null, "weekend_work": "unknown", "weekend_work_source": null, "relocation_assistance_source": null, "contractor_w2": "unknown", "required_timezone": null, "fertility_family_building_benefits_source": null, "mental_health_support_source": null, "adoption_assistance_offered_source": null, "childcare_subsidy_source": null, "learning_budget_offered_source": null, "surrogacy_assistance_offered_source": null, "cover_letter_required": null, "cover_letter_required_source": null, "assessment_required": null, "assessment_required_source": null, "application_deadline": null, "application_deadline_source": null, "visa_sponsorship": false, "us_citizenship_required": false, "security_clearance": "none", "education_required": "none", "roll_up_count": null, "roll_up_total_locations": null, "explanations": [ { "schema_version": "inv382.match_signal.v1", "signal_id": "sig.query.description_excerpt.522d7631e96011556a", "query_id": "gq_99e1b305e21f24a9d00b", "job_id": "f4398a9072aef2c73875f8ea583dce56", "signal_type": "query_match", "display_text": "Description: \"flink\"", "tooltip": "Description matched \"flink\" from your search.", "source_binding": "bm25_field_evidence", "source_field": "description_excerpt", "source_value": "Software Engineer, Flink Hungary > Budapest posted: Posted Today", "matched_input": "flink", "derivation_source": "candidate_result.raw_match_evidence", "candidate_evidence_id": "ev:gq_99e1b305e21f24a9d00b:f4398a9072aef2c73875f8ea583dce56:description:flink", "rerank_evidence_id": null, "taxonomy_alias_id": null, "oracle_verification_method": "candidate_evidence_exists", "counts_for_non_trivial_query": true, "truth_verified": true, "exact": true, "priority": 90, "mobile_priority": 1, "ui": { "icon": "Search", "tone": "match", "href": null } }, { "schema_version": "inv382.match_signal.v1", "signal_id": "sig.query.title.10b9ab5bb85ec4e325", "query_id": "gq_99e1b305e21f24a9d00b", "job_id": "f4398a9072aef2c73875f8ea583dce56", "signal_type": "query_match", "display_text": "Title: \"flink\"", "tooltip": "Title matched \"flink\" from your search.", "source_binding": "bm25_field_evidence", "source_field": "title", "source_value": "Software Engineer, Flink", "matched_input": "flink", "derivation_source": "candidate_result.raw_match_evidence", "candidate_evidence_id": "ev:gq_99e1b305e21f24a9d00b:f4398a9072aef2c73875f8ea583dce56:title:flink", "rerank_evidence_id": null, "taxonomy_alias_id": null, "oracle_verification_method": "candidate_evidence_exists", "counts_for_non_trivial_query": true, "truth_verified": true, "exact": true, "priority": 90, "mobile_priority": 1, "ui": { "icon": "Search", "tone": "match", "href": null } }, { "schema_version": "inv382.match_signal.v1", "signal_id": "sig.semantic.title.3723d757584e7ab50a", "query_id": "gq_99e1b305e21f24a9d00b", "job_id": "f4398a9072aef2c73875f8ea583dce56", "signal_type": "query_match", "display_text": "Title: semantic match", "tooltip": "Title provided semantic evidence for your search intent.", "source_binding": "reranker_semantic_evidence", "source_field": "title", "source_value": "Software Engineer, Flink", "matched_input": "flink", "derivation_source": "rerank_result.semantic_evidence", "candidate_evidence_id": null, "rerank_evidence_id": "rerank:ac05e829322e6b7cf5d1916f", "taxonomy_alias_id": null, "oracle_verification_method": "reranker_evidence_exists", "counts_for_non_trivial_query": true, "truth_verified": true, "exact": false, "priority": 86, "mobile_priority": 2, "ui": { "icon": "Sparkles", "tone": "match", "href": null } }, { "schema_version": "inv382.match_signal.v1", "signal_id": "sig.query.title.1e42c83b256ed60a8c", "query_id": "gq_99e1b305e21f24a9d00b", "job_id": "f4398a9072aef2c73875f8ea583dce56", "signal_type": "query_match", "display_text": "Title: \"flink\"", "tooltip": "Title contains \"flink\" from your search.", "source_binding": "token_match", "source_field": "title", "source_value": "Software Engineer, Flink", "matched_input": "flink", "derivation_source": "row_field", "candidate_evidence_id": null, "rerank_evidence_id": null, "taxonomy_alias_id": null, "oracle_verification_method": "row_field_contains", "counts_for_non_trivial_query": true, "truth_verified": true, "exact": true, "priority": 80, "mobile_priority": 2, "ui": { "icon": "SearchCheck", "tone": "match", "href": null } }, { "schema_version": "inv382.match_signal.v1", "signal_id": "sig.semantic.role_function.ccf631b0a635f7538d", "query_id": "gq_99e1b305e21f24a9d00b", "job_id": "f4398a9072aef2c73875f8ea583dce56", "signal_type": "query_match", "display_text": "Role: semantic match", "tooltip": "Role provided semantic evidence for your search intent.", "source_binding": "vector_semantic_evidence", "source_field": "role_function", "source_value": "engineering", "matched_input": "flink", "derivation_source": "candidate_result.raw_match_evidence", "candidate_evidence_id": "ev:gq_99e1b305e21f24a9d00b:f4398a9072aef2c73875f8ea583dce56:vector", "rerank_evidence_id": null, "taxonomy_alias_id": null, "oracle_verification_method": "candidate_evidence_exists", "counts_for_non_trivial_query": true, "truth_verified": true, "exact": false, "priority": 74, "mobile_priority": 2, "ui": { "icon": "Sparkles", "tone": "match", "href": null } } ], "source_label": "DOL Form 5500 filing", "parental_leave_source_label": null, "k401_match_source_label": "DOL Form 5500 filing", "k401_contribution_source_label": "DOL Form 5500 filing", "apply_url_checked_at": null, "apply_url_verification_status": "not_reachable_or_not_checked", "apply_url_verification_label": "Not checked or not reachable at last crawl", "field_source_signals": { "equity_included": { "tier": "inferred", "verified": false, "label": "Inferred - source not recorded", "source_label": "source not recorded", "href": null, "source_values": [], "checked_at": null }, "k401_match": { "tier": "government", "verified": true, "label": "Verified - DOL Form 5500", "source_label": "DOL Form 5500", "href": null, "source_values": [ "dol_form_5500", "EMPLR_CONTRIB_INCOME_AMT" ], "checked_at": "2026-06-07T00:00:00Z" }, "seniority": { "tier": "posting", "verified": true, "label": "From the posting", "source_label": "the posting", "href": "https://cloudera.wd5.myworkdayjobs.com/External_Career/job/Hungary--Budapest/Software-Engineer--Flink_251511-1", "source_values": [ "llm:greenfield:inv_371_postfix" ], "checked_at": null }, "role_function": { "tier": "posting", "verified": true, "label": "From the posting", "source_label": "the posting", "href": "https://cloudera.wd5.myworkdayjobs.com/External_Career/job/Hungary--Budapest/Software-Engineer--Flink_251511-1", "source_values": [ "rule:title_override" ], "checked_at": null } } }, { "id": "b1c8a57b5c7569c4a06dff6fbbecb5c1", "title": "Speculative Application", "employer_name": "Flink", "employer_slug": "flink", "location_text": "Zürich, Switzerland", "country": "CH", "employment_type": "unknown", "remote_status": "unspecified", "remote_status_source": null, "remote_status_enriched_at": null, "days_in_office": null, "timezone_overlap_hours": 3, "salary_min": null, "salary_max": null, "salary_min_source": null, "salary_max_source": null, "salary_currency": "UNSPECIFIED", "salary_type": "unknown", "salary_type_source": null, "salary_type_enriched_at": null, "salary_period": null, "base_salary_min": null, "base_salary_max": null, "salary_disclosed": false, "equity_included": false, "equity_included_source": null, "equity_type": [ "none" ], "k401_match": null, "match_401k_pct": null, "match_401k_pct_source": null, "k401_match_source_url": null, "k401_match_source_fields": [], "k401_contribution_source_url": null, "k401_contribution_source_fields": [], "profit_sharing": false, "bonus_offered": false, "mental_health_support": null, "childcare_subsidy": null, "fertility_family_building_benefits": null, "adoption_assistance_offered": null, "surrogacy_assistance_offered": null, "student_loan_repayment_offered": null, "learning_budget_offered": null, "relocation_assistance": null, "top_startup_sources": [ "cbinsights_unicorn" ], "posted_at": "2026-03-14T13:51:33.574Z", "apply_url": "https://jobs.ashbyhq.com/flink/1420bc99-761f-4cec-8c32-6d96281d71db", "apply_url_verified": false, "ats": "ashby", "url_last_checked_alive": null, "removed_at": null, "description_excerpt": "Speculative Application Zürich, Switzerland Can't find the position for you? Share your CV and a cover letter explaining why you would want to join Flink. We're always on the lookout for the people who complement our team.", "parental_leave_weeks": null, "non_birth_parent_leave_weeks": null, "parental_leave_weeks_source": null, "non_birth_parent_leave_weeks_source": null, "parental_leave_source_url": null, "pto_days": null, "unlimited_pto": false, "sabbatical_eligible": false, "family_friendly_score": 43, "benefit_verified": false, "benefit_last_verified": null, "hire_states_allowed": [], "state_eligibility_source": null, "state_eligibility_enriched_at": null, "llm_quality_pass_at": null, "llm_signals_at": "2026-06-20T05:42:05.724Z", "llm_extraction_run_id": "postfix_final_004037", "llm_extraction_extracted_at": null, "llm_extraction_field_sources": { "seniority": { "field": "seniority", "source": "llm:greenfield:inv_371_postfix", "db_column": "seniority" }, "salary_type": { "field": "salary_type", "source": "llm:greenfield:inv_371_postfix", "db_column": "salary_type" }, "role_function": { "field": "role_function", "source": "llm:greenfield:inv_371_postfix", "db_column": "role_function" }, "education_required": { "field": "education_required", "source": "llm:greenfield:inv_371_postfix", "db_column": "education_required" }, "cover_letter_required": { "field": "cover_letter_required", "source": "llm:greenfield:inv_371_postfix", "db_column": "cover_letter_required" } }, "seniority": "mid", "seniority_source": "llm:greenfield:inv_371_postfix", "years_experience_min": 3, "years_experience_max": 7, "role_function": "other", "role_function_source": "llm:greenfield:inv_371_postfix", "company_stage": null, "company_stage_source": null, "employer_industry": null, "employer_industry_source": null, "employer_size": "51-200", "quality_score": 35, "travel_pct": null, "requires_shift": null, "shift_type": "unknown", "shift_type_source": null, "weekend_work": "unknown", "weekend_work_source": null, "relocation_assistance_source": null, "contractor_w2": "unknown", "required_timezone": null, "fertility_family_building_benefits_source": null, "mental_health_support_source": null, "adoption_assistance_offered_source": null, "childcare_subsidy_source": null, "learning_budget_offered_source": null, "surrogacy_assistance_offered_source": null, "cover_letter_required": null, "cover_letter_required_source": null, "assessment_required": null, "assessment_required_source": null, "application_deadline": null, "application_deadline_source": null, "visa_sponsorship": false, "us_citizenship_required": false, "security_clearance": "none", "education_required": "none", "roll_up_count": null, "roll_up_total_locations": null, "explanations": [ { "schema_version": "inv382.match_signal.v1", "signal_id": "sig.query.description_excerpt.94d96e70fcfaa62733", "query_id": "gq_99e1b305e21f24a9d00b", "job_id": "b1c8a57b5c7569c4a06dff6fbbecb5c1", "signal_type": "query_match", "display_text": "Description: \"flink\"", "tooltip": "Description matched \"flink\" from your search.", "source_binding": "bm25_field_evidence", "source_field": "description_excerpt", "source_value": "Speculative Application Zürich, Switzerland Can't find the position for you? Share your CV and a cover letter explaining why you would want to join Flink. We're always on the lookout for the people who complement our team.", "matched_input": "flink", "derivation_source": "candidate_result.raw_match_evidence", "candidate_evidence_id": "ev:gq_99e1b305e21f24a9d00b:b1c8a57b5c7569c4a06dff6fbbecb5c1:description:flink", "rerank_evidence_id": null, "taxonomy_alias_id": null, "oracle_verification_method": "candidate_evidence_exists", "counts_for_non_trivial_query": true, "truth_verified": true, "exact": true, "priority": 90, "mobile_priority": 1, "ui": { "icon": "Search", "tone": "match", "href": null } }, { "schema_version": "inv382.match_signal.v1", "signal_id": "sig.query.employer_name.0e6dca7e619f9ad144", "query_id": "gq_99e1b305e21f24a9d00b", "job_id": "b1c8a57b5c7569c4a06dff6fbbecb5c1", "signal_type": "query_match", "display_text": "Employer: \"flink\"", "tooltip": "Employer matched \"flink\" from your search.", "source_binding": "bm25_field_evidence", "source_field": "employer_name", "source_value": "Flink", "matched_input": "flink", "derivation_source": "candidate_result.raw_match_evidence", "candidate_evidence_id": "ev:gq_99e1b305e21f24a9d00b:b1c8a57b5c7569c4a06dff6fbbecb5c1:employer:flink", "rerank_evidence_id": null, "taxonomy_alias_id": null, "oracle_verification_method": "candidate_evidence_exists", "counts_for_non_trivial_query": true, "truth_verified": true, "exact": true, "priority": 90, "mobile_priority": 1, "ui": { "icon": "Search", "tone": "match", "href": null } }, { "schema_version": "inv382.match_signal.v1", "signal_id": "sig.semantic.employer_name.2ff9779e5a7d027053", "query_id": "gq_99e1b305e21f24a9d00b", "job_id": "b1c8a57b5c7569c4a06dff6fbbecb5c1", "signal_type": "query_match", "display_text": "Employer: semantic match", "tooltip": "Employer provided semantic evidence for your search intent.", "source_binding": "reranker_semantic_evidence", "source_field": "employer_name", "source_value": "Flink", "matched_input": "flink", "derivation_source": "rerank_result.semantic_evidence", "candidate_evidence_id": null, "rerank_evidence_id": "rerank:0f782688150f619f98d6be51", "taxonomy_alias_id": null, "oracle_verification_method": "reranker_evidence_exists", "counts_for_non_trivial_query": true, "truth_verified": true, "exact": false, "priority": 86, "mobile_priority": 2, "ui": { "icon": "Sparkles", "tone": "match", "href": null } }, { "schema_version": "inv382.match_signal.v1", "signal_id": "sig.query.employer_name.e949a25bff96028961", "query_id": "gq_99e1b305e21f24a9d00b", "job_id": "b1c8a57b5c7569c4a06dff6fbbecb5c1", "signal_type": "query_match", "display_text": "Employer: \"flink\"", "tooltip": "Employer contains \"flink\" from your search.", "source_binding": "token_match", "source_field": "employer_name", "source_value": "Flink", "matched_input": "flink", "derivation_source": "row_field", "candidate_evidence_id": null, "rerank_evidence_id": null, "taxonomy_alias_id": null, "oracle_verification_method": "row_field_contains", "counts_for_non_trivial_query": true, "truth_verified": true, "exact": true, "priority": 80, "mobile_priority": 2, "ui": { "icon": "SearchCheck", "tone": "match", "href": null } }, { "schema_version": "inv382.match_signal.v1", "signal_id": "sig.semantic.role_function.3cb1a85547f6fafe88", "query_id": "gq_99e1b305e21f24a9d00b", "job_id": "b1c8a57b5c7569c4a06dff6fbbecb5c1", "signal_type": "query_match", "display_text": "Role: semantic match", "tooltip": "Role provided semantic evidence for your search intent.", "source_binding": "vector_semantic_evidence", "source_field": "role_function", "source_value": "other", "matched_input": "flink", "derivation_source": "candidate_result.raw_match_evidence", "candidate_evidence_id": "ev:gq_99e1b305e21f24a9d00b:b1c8a57b5c7569c4a06dff6fbbecb5c1:vector", "rerank_evidence_id": null, "taxonomy_alias_id": null, "oracle_verification_method": "candidate_evidence_exists", "counts_for_non_trivial_query": true, "truth_verified": true, "exact": false, "priority": 74, "mobile_priority": 2, "ui": { "icon": "Sparkles", "tone": "match", "href": null } } ], "parental_leave_source_label": null, "k401_match_source_label": null, "k401_contribution_source_label": null, "apply_url_checked_at": null, "apply_url_verification_status": "not_reachable_or_not_checked", "apply_url_verification_label": "Not checked or not reachable at last crawl", "field_source_signals": { "equity_included": { "tier": "inferred", "verified": false, "label": "Inferred - source not recorded", "source_label": "source not recorded", "href": null, "source_values": [], "checked_at": "2026-06-20T05:42:05.724Z" }, "seniority": { "tier": "posting", "verified": true, "label": "From the posting", "source_label": "the posting", "href": "https://jobs.ashbyhq.com/flink/1420bc99-761f-4cec-8c32-6d96281d71db", "source_values": [ "llm:greenfield:inv_371_postfix" ], "checked_at": "2026-06-20T05:42:05.724Z" } } }, { "id": "fd82f2f3c01ca4acd20d40b8e2dab0ab", "title": "Senior Software Engineer in Test (IC3) - Streaming/Apache Flink", "employer_name": "Cloudera", "employer_slug": "cloudera", "location_text": "3 Locations", "country": "unknown", "employment_type": "unknown", "remote_status": "unspecified", "remote_status_source": null, "remote_status_enriched_at": null, "days_in_office": null, "timezone_overlap_hours": 3, "salary_min": null, "salary_max": null, "salary_min_source": null, "salary_max_source": null, "salary_currency": "UNSPECIFIED", "salary_type": "unknown", "salary_type_source": null, "salary_type_enriched_at": null, "salary_period": null, "base_salary_min": null, "base_salary_max": null, "salary_disclosed": false, "equity_included": false, "equity_included_source": null, "equity_type": [ "none" ], "k401_match": "yes", "match_401k_pct": null, "match_401k_pct_source": null, "k401_match_source_url": null, "k401_match_source_fields": [ "EMPLR_CONTRIB_INCOME_AMT" ], "k401_contribution_source_url": null, "k401_contribution_source_fields": [ "EMPLR_CONTRIB_INCOME_AMT" ], "profit_sharing": false, "bonus_offered": false, "mental_health_support": null, "childcare_subsidy": null, "fertility_family_building_benefits": null, "adoption_assistance_offered": null, "surrogacy_assistance_offered": null, "student_loan_repayment_offered": null, "learning_budget_offered": null, "relocation_assistance": null, "top_startup_sources": [], "posted_at": "2026-05-12T00:00:00.000Z", "apply_url": "https://cloudera.wd5.myworkdayjobs.com/External_Career/job/Hungary--Budapest/Senior-Software-Engineer-in-Test--IC3----Streaming-Apache-Flink_251411-1", "apply_url_verified": false, "ats": "workday", "url_last_checked_alive": null, "removed_at": null, "description_excerpt": "Senior Software Engineer in Test (IC3) - Streaming/Apache Flink 3 Locations posted: Posted 30+ Days Ago", "parental_leave_weeks": null, "non_birth_parent_leave_weeks": null, "parental_leave_weeks_source": null, "non_birth_parent_leave_weeks_source": null, "parental_leave_source_url": null, "pto_days": null, "unlimited_pto": false, "sabbatical_eligible": false, "family_friendly_score": 40, "benefit_verified": true, "benefit_last_verified": "2026-06-07T00:00:00Z", "hire_states_allowed": [], "state_eligibility_source": null, "state_eligibility_enriched_at": null, "llm_quality_pass_at": null, "llm_signals_at": null, "llm_extraction_run_id": null, "llm_extraction_extracted_at": null, "llm_extraction_field_sources": { "seniority": { "field": "seniority", "source": "llm:greenfield:inv_371_postfix", "db_column": "seniority" }, "k401_match": { "source": "dol_form_5500", "source_url": null, "source_fields": [ "EMPLR_CONTRIB_INCOME_AMT" ], "source_label": "DOL Form 5500 filing" }, "salary_type": { "field": "salary_type", "source": "llm:greenfield:inv_371_postfix", "db_column": "salary_type" }, "role_function": { "field": "role_function", "source": "rule:title_override", "db_column": "role_function" }, "education_required": { "field": "education_required", "source": "llm:greenfield:inv_371_postfix", "db_column": "education_required" } }, "seniority": "senior", "seniority_source": "llm:greenfield:inv_371_postfix", "years_experience_min": 5, "years_experience_max": 9, "role_function": "engineering", "role_function_source": "rule:title_override", "company_stage": null, "company_stage_source": null, "employer_industry": null, "employer_industry_source": null, "employer_size": null, "quality_score": 35, "travel_pct": null, "requires_shift": null, "shift_type": "unknown", "shift_type_source": null, "weekend_work": "unknown", "weekend_work_source": null, "relocation_assistance_source": null, "contractor_w2": "unknown", "required_timezone": null, "fertility_family_building_benefits_source": null, "mental_health_support_source": null, "adoption_assistance_offered_source": null, "childcare_subsidy_source": null, "learning_budget_offered_source": null, "surrogacy_assistance_offered_source": null, "cover_letter_required": null, "cover_letter_required_source": null, "assessment_required": null, "assessment_required_source": null, "application_deadline": null, "application_deadline_source": null, "visa_sponsorship": false, "us_citizenship_required": false, "security_clearance": "none", "education_required": "none", "roll_up_count": null, "roll_up_total_locations": null, "explanations": [ { "schema_version": "inv382.match_signal.v1", "signal_id": "sig.query.description_excerpt.b901a145090777d971", "query_id": "gq_99e1b305e21f24a9d00b", "job_id": "fd82f2f3c01ca4acd20d40b8e2dab0ab", "signal_type": "query_match", "display_text": "Description: \"flink\"", "tooltip": "Description matched \"flink\" from your search.", "source_binding": "bm25_field_evidence", "source_field": "description_excerpt", "source_value": "Senior Software Engineer in Test (IC3) - Streaming/Apache Flink 3 Locations posted: Posted 30+ Days Ago", "matched_input": "flink", "derivation_source": "candidate_result.raw_match_evidence", "candidate_evidence_id": "ev:gq_99e1b305e21f24a9d00b:fd82f2f3c01ca4acd20d40b8e2dab0ab:description:flink", "rerank_evidence_id": null, "taxonomy_alias_id": null, "oracle_verification_method": "candidate_evidence_exists", "counts_for_non_trivial_query": true, "truth_verified": true, "exact": true, "priority": 90, "mobile_priority": 1, "ui": { "icon": "Search", "tone": "match", "href": null } }, { "schema_version": "inv382.match_signal.v1", "signal_id": "sig.query.title.8a8824602a54a57dd1", "query_id": "gq_99e1b305e21f24a9d00b", "job_id": "fd82f2f3c01ca4acd20d40b8e2dab0ab", "signal_type": "query_match", "display_text": "Title: \"flink\"", "tooltip": "Title matched \"flink\" from your search.", "source_binding": "bm25_field_evidence", "source_field": "title", "source_value": "Senior Software Engineer in Test (IC3) - Streaming/Apache Flink", "matched_input": "flink", "derivation_source": "candidate_result.raw_match_evidence", "candidate_evidence_id": "ev:gq_99e1b305e21f24a9d00b:fd82f2f3c01ca4acd20d40b8e2dab0ab:title:flink", "rerank_evidence_id": null, "taxonomy_alias_id": null, "oracle_verification_method": "candidate_evidence_exists", "counts_for_non_trivial_query": true, "truth_verified": true, "exact": true, "priority": 90, "mobile_priority": 1, "ui": { "icon": "Search", "tone": "match", "href": null } }, { "schema_version": "inv382.match_signal.v1", "signal_id": "sig.semantic.title.5aad86b059db547888", "query_id": "gq_99e1b305e21f24a9d00b", "job_id": "fd82f2f3c01ca4acd20d40b8e2dab0ab", "signal_type": "query_match", "display_text": "Title: semantic match", "tooltip": "Title provided semantic evidence for your search intent.", "source_binding": "reranker_semantic_evidence", "source_field": "title", "source_value": "Senior Software Engineer in Test (IC3) - Streaming/Apache Flink", "matched_input": "flink", "derivation_source": "rerank_result.semantic_evidence", "candidate_evidence_id": null, "rerank_evidence_id": "rerank:01a77ad2320e4140d8dd6e6a", "taxonomy_alias_id": null, "oracle_verification_method": "reranker_evidence_exists", "counts_for_non_trivial_query": true, "truth_verified": true, "exact": false, "priority": 86, "mobile_priority": 2, "ui": { "icon": "Sparkles", "tone": "match", "href": null } }, { "schema_version": "inv382.match_signal.v1", "signal_id": "sig.query.title.b2ff3ebd83e01f5175", "query_id": "gq_99e1b305e21f24a9d00b", "job_id": "fd82f2f3c01ca4acd20d40b8e2dab0ab", "signal_type": "query_match", "display_text": "Title: \"flink\"", "tooltip": "Title contains \"flink\" from your search.", "source_binding": "token_match", "source_field": "title", "source_value": "Senior Software Engineer in Test (IC3) - Streaming/Apache Flink", "matched_input": "flink", "derivation_source": "row_field", "candidate_evidence_id": null, "rerank_evidence_id": null, "taxonomy_alias_id": null, "oracle_verification_method": "row_field_contains", "counts_for_non_trivial_query": true, "truth_verified": true, "exact": true, "priority": 80, "mobile_priority": 2, "ui": { "icon": "SearchCheck", "tone": "match", "href": null } }, { "schema_version": "inv382.match_signal.v1", "signal_id": "sig.semantic.role_function.b844c53efbcd44062c", "query_id": "gq_99e1b305e21f24a9d00b", "job_id": "fd82f2f3c01ca4acd20d40b8e2dab0ab", "signal_type": "query_match", "display_text": "Role: semantic match", "tooltip": "Role provided semantic evidence for your search intent.", "source_binding": "vector_semantic_evidence", "source_field": "role_function", "source_value": "engineering", "matched_input": "flink", "derivation_source": "candidate_result.raw_match_evidence", "candidate_evidence_id": "ev:gq_99e1b305e21f24a9d00b:fd82f2f3c01ca4acd20d40b8e2dab0ab:vector", "rerank_evidence_id": null, "taxonomy_alias_id": null, "oracle_verification_method": "candidate_evidence_exists", "counts_for_non_trivial_query": true, "truth_verified": true, "exact": false, "priority": 74, "mobile_priority": 2, "ui": { "icon": "Sparkles", "tone": "match", "href": null } } ], "source_label": "DOL Form 5500 filing", "parental_leave_source_label": null, "k401_match_source_label": "DOL Form 5500 filing", "k401_contribution_source_label": "DOL Form 5500 filing", "apply_url_checked_at": null, "apply_url_verification_status": "not_reachable_or_not_checked", "apply_url_verification_label": "Not checked or not reachable at last crawl", "field_source_signals": { "equity_included": { "tier": "inferred", "verified": false, "label": "Inferred - source not recorded", "source_label": "source not recorded", "href": null, "source_values": [], "checked_at": null }, "k401_match": { "tier": "government", "verified": true, "label": "Verified - DOL Form 5500", "source_label": "DOL Form 5500", "href": null, "source_values": [ "dol_form_5500", "EMPLR_CONTRIB_INCOME_AMT" ], "checked_at": "2026-06-07T00:00:00Z" }, "seniority": { "tier": "posting", "verified": true, "label": "From the posting", "source_label": "the posting", "href": "https://cloudera.wd5.myworkdayjobs.com/External_Career/job/Hungary--Budapest/Senior-Software-Engineer-in-Test--IC3----Streaming-Apache-Flink_251411-1", "source_values": [ "llm:greenfield:inv_371_postfix" ], "checked_at": null }, "role_function": { "tier": "posting", "verified": true, "label": "From the posting", "source_label": "the posting", "href": "https://cloudera.wd5.myworkdayjobs.com/External_Career/job/Hungary--Budapest/Senior-Software-Engineer-in-Test--IC3----Streaming-Apache-Flink_251411-1", "source_values": [ "rule:title_override" ], "checked_at": null } } }, { "id": "2beaffe38a23a58146417901b6172717", "title": "Data Engineer – Big Data & Streaming Platforms - Java/Scala or Python | Spark, Kafka | Flink, Iceberg / Lakehouse, Trino | 4 to 7 Years", "employer_name": "ThousandEyes", "employer_slug": "thousandeyes", "location_text": "Bangalore, India", "country": "IN", "employment_type": "unknown", "remote_status": "unspecified", "remote_status_source": null, "remote_status_enriched_at": null, "days_in_office": null, "timezone_overlap_hours": 3, "salary_min": null, "salary_max": null, "salary_min_source": null, "salary_max_source": null, "salary_currency": "UNSPECIFIED", "salary_type": "unknown", "salary_type_source": null, "salary_type_enriched_at": null, "salary_period": null, "base_salary_min": null, "base_salary_max": null, "salary_disclosed": false, "equity_included": false, "equity_included_source": null, "equity_type": [ "none" ], "k401_match": null, "match_401k_pct": null, "match_401k_pct_source": null, "k401_match_source_url": null, "k401_match_source_fields": [], "k401_contribution_source_url": null, "k401_contribution_source_fields": [], "profit_sharing": false, "bonus_offered": false, "mental_health_support": null, "childcare_subsidy": null, "fertility_family_building_benefits": null, "adoption_assistance_offered": null, "surrogacy_assistance_offered": null, "student_loan_repayment_offered": null, "learning_budget_offered": null, "relocation_assistance": null, "top_startup_sources": [], "posted_at": "2026-06-11T00:00:00.000Z", "apply_url": "https://cisco.wd5.myworkdayjobs.com/Cisco_Careers/job/Bangalore-India/Data-Engineer---Big-Data---Streaming-Platforms---Java-Scala-or-Python---Spark--Kafka---Flink--Iceberg---Lakehouse--Trino---4-to-7-Years_2016346/apply", "apply_url_verified": false, "ats": "phenom_people", "url_last_checked_alive": null, "removed_at": null, "description_excerpt": "Data Engineer – Big Data & Streaming Platforms - Java/Scala or Python | Spark, Kafka | Flink, Iceberg / Lakehouse, Trino | 4 to 7 Years Bangalore, India Join our team as a Senior Data Engineer and help build high-impact big data and streaming platforms using Java, Scala, Python, and cutting-edge technologies like Kafka, Spark, and Trino. Collaborate with product teams to develop scalable analytics pipelines and drive innovation in data engineering. Grow your career with us and make a real impact!", "parental_leave_weeks": null, "non_birth_parent_leave_weeks": null, "parental_leave_weeks_source": null, "non_birth_parent_leave_weeks_source": null, "parental_leave_source_url": null, "pto_days": null, "unlimited_pto": false, "sabbatical_eligible": false, "family_friendly_score": 40, "benefit_verified": false, "benefit_last_verified": null, "hire_states_allowed": [], "state_eligibility_source": null, "state_eligibility_enriched_at": null, "llm_quality_pass_at": null, "llm_signals_at": null, "llm_extraction_run_id": null, "llm_extraction_extracted_at": null, "llm_extraction_field_sources": { "seniority": { "field": "seniority", "source": "llm:greenfield:inv_371_postfix", "db_column": "seniority" }, "salary_type": { "field": "salary_type", "source": "llm:greenfield:inv_371_postfix", "db_column": "salary_type" }, "role_function": { "field": "role_function", "source": "rule", "db_column": "role_function" }, "education_required": { "field": "education_required", "source": "llm:greenfield:inv_371_postfix", "db_column": "education_required" } }, "seniority": "mid", "seniority_source": "llm:greenfield:inv_371_postfix", "years_experience_min": 3, "years_experience_max": 7, "role_function": "data", "role_function_source": "rule", "company_stage": null, "company_stage_source": null, "employer_industry": null, "employer_industry_source": null, "employer_size": null, "quality_score": 45, "travel_pct": null, "requires_shift": null, "shift_type": "unknown", "shift_type_source": null, "weekend_work": "unknown", "weekend_work_source": null, "relocation_assistance_source": null, "contractor_w2": "unknown", "required_timezone": null, "fertility_family_building_benefits_source": null, "mental_health_support_source": null, "adoption_assistance_offered_source": null, "childcare_subsidy_source": null, "learning_budget_offered_source": null, "surrogacy_assistance_offered_source": null, "cover_letter_required": null, "cover_letter_required_source": null, "assessment_required": null, "assessment_required_source": null, "application_deadline": null, "application_deadline_source": null, "visa_sponsorship": false, "us_citizenship_required": false, "security_clearance": "none", "education_required": "none", "roll_up_count": null, "roll_up_total_locations": null, "explanations": [ { "schema_version": "inv382.match_signal.v1", "signal_id": "sig.query.description_excerpt.eeeae0ef1e6b49ce07", "query_id": "gq_99e1b305e21f24a9d00b", "job_id": "2beaffe38a23a58146417901b6172717", "signal_type": "query_match", "display_text": "Description: \"flink\"", "tooltip": "Description matched \"flink\" from your search.", "source_binding": "bm25_field_evidence", "source_field": "description_excerpt", "source_value": "Data Engineer – Big Data & Streaming Platforms - Java/Scala or Python | Spark, Kafka | Flink, Iceberg / Lakehouse, Trino | 4 to 7 Years Bangalore, India Join our team as a Senior Data Engineer and help build high-impact big data and streaming platforms using Java, Scala, Python, and cutting-edge technologies like Kafka, Spark, and Trino. Collaborate with product teams to develop scalable analytics pipelines and drive innovation in data engineering. Grow your career with us and make a real impact!", "matched_input": "flink", "derivation_source": "candidate_result.raw_match_evidence", "candidate_evidence_id": "ev:gq_99e1b305e21f24a9d00b:2beaffe38a23a58146417901b6172717:description:flink", "rerank_evidence_id": null, "taxonomy_alias_id": null, "oracle_verification_method": "candidate_evidence_exists", "counts_for_non_trivial_query": true, "truth_verified": true, "exact": true, "priority": 90, "mobile_priority": 1, "ui": { "icon": "Search", "tone": "match", "href": null } }, { "schema_version": "inv382.match_signal.v1", "signal_id": "sig.query.title.fe8a5c1d4e026ee271", "query_id": "gq_99e1b305e21f24a9d00b", "job_id": "2beaffe38a23a58146417901b6172717", "signal_type": "query_match", "display_text": "Title: \"flink\"", "tooltip": "Title matched \"flink\" from your search.", "source_binding": "bm25_field_evidence", "source_field": "title", "source_value": "Data Engineer – Big Data & Streaming Platforms - Java/Scala or Python | Spark, Kafka | Flink, Iceberg / Lakehouse, Trino | 4 to 7 Years", "matched_input": "flink", "derivation_source": "candidate_result.raw_match_evidence", "candidate_evidence_id": "ev:gq_99e1b305e21f24a9d00b:2beaffe38a23a58146417901b6172717:title:flink", "rerank_evidence_id": null, "taxonomy_alias_id": null, "oracle_verification_method": "candidate_evidence_exists", "counts_for_non_trivial_query": true, "truth_verified": true, "exact": true, "priority": 90, "mobile_priority": 1, "ui": { "icon": "Search", "tone": "match", "href": null } }, { "schema_version": "inv382.match_signal.v1", "signal_id": "sig.semantic.title.65e18bafad2aba3f34", "query_id": "gq_99e1b305e21f24a9d00b", "job_id": "2beaffe38a23a58146417901b6172717", "signal_type": "query_match", "display_text": "Title: semantic match", "tooltip": "Title provided semantic evidence for your search intent.", "source_binding": "reranker_semantic_evidence", "source_field": "title", "source_value": "Data Engineer – Big Data & Streaming Platforms - Java/Scala or Python | Spark, Kafka | Flink, Iceberg / Lakehouse, Trino | 4 to 7 Years", "matched_input": "flink", "derivation_source": "rerank_result.semantic_evidence", "candidate_evidence_id": null, "rerank_evidence_id": "rerank:f34472ca8dfb4c7c411a21dd", "taxonomy_alias_id": null, "oracle_verification_method": "reranker_evidence_exists", "counts_for_non_trivial_query": true, "truth_verified": true, "exact": false, "priority": 86, "mobile_priority": 2, "ui": { "icon": "Sparkles", "tone": "match", "href": null } }, { "schema_version": "inv382.match_signal.v1", "signal_id": "sig.query.title.d3d9124e118bb4cc46", "query_id": "gq_99e1b305e21f24a9d00b", "job_id": "2beaffe38a23a58146417901b6172717", "signal_type": "query_match", "display_text": "Title: \"flink\"", "tooltip": "Title contains \"flink\" from your search.", "source_binding": "token_match", "source_field": "title", "source_value": "Data Engineer – Big Data & Streaming Platforms - Java/Scala or Python | Spark, Kafka | Flink, Iceberg / Lakehouse, Trino | 4 to 7 Years", "matched_input": "flink", "derivation_source": "row_field", "candidate_evidence_id": null, "rerank_evidence_id": null, "taxonomy_alias_id": null, "oracle_verification_method": "row_field_contains", "counts_for_non_trivial_query": true, "truth_verified": true, "exact": true, "priority": 80, "mobile_priority": 2, "ui": { "icon": "SearchCheck", "tone": "match", "href": null } } ], "parental_leave_source_label": null, "k401_match_source_label": null, "k401_contribution_source_label": null, "apply_url_checked_at": null, "apply_url_verification_status": "not_reachable_or_not_checked", "apply_url_verification_label": "Not checked or not reachable at last crawl", "field_source_signals": { "equity_included": { "tier": "inferred", "verified": false, "label": "Inferred - source not recorded", "source_label": "source not recorded", "href": null, "source_values": [], "checked_at": null }, "seniority": { "tier": "posting", "verified": true, "label": "From the posting", "source_label": "the posting", "href": "https://cisco.wd5.myworkdayjobs.com/Cisco_Careers/job/Bangalore-India/Data-Engineer---Big-Data---Streaming-Platforms---Java-Scala-or-Python---Spark--Kafka---Flink--Iceberg---Lakehouse--Trino---4-to-7-Years_2016346/apply", "source_values": [ "llm:greenfield:inv_371_postfix" ], "checked_at": null }, "role_function": { "tier": "posting", "verified": true, "label": "From the posting", "source_label": "the posting", "href": "https://cisco.wd5.myworkdayjobs.com/Cisco_Careers/job/Bangalore-India/Data-Engineer---Big-Data---Streaming-Platforms---Java-Scala-or-Python---Spark--Kafka---Flink--Iceberg---Lakehouse--Trino---4-to-7-Years_2016346/apply", "source_values": [ "rule" ], "checked_at": null } } }, { "id": "a04b787b1daa6a1ee0599531a76eeec2", "title": "Host", "employer_name": "RH", "employer_slug": "rh", "location_text": "Jacksonville, FL, United States", "country": "US", "employment_type": "unknown", "remote_status": "unspecified", "remote_status_source": null, "remote_status_enriched_at": null, "days_in_office": null, "timezone_overlap_hours": 6, "salary_min": null, "salary_max": null, "salary_min_source": null, "salary_max_source": null, "salary_currency": "USD", "salary_type": "unknown", "salary_type_source": null, "salary_type_enriched_at": null, "salary_period": null, "base_salary_min": null, "base_salary_max": null, "salary_disclosed": false, "equity_included": true, "equity_included_source": null, "equity_type": [ "rsu", "options" ], "k401_match": null, "match_401k_pct": null, "match_401k_pct_source": null, "k401_match_source_url": null, "k401_match_source_fields": [], "k401_contribution_source_url": null, "k401_contribution_source_fields": [], "profit_sharing": false, "bonus_offered": false, "mental_health_support": null, "childcare_subsidy": null, "fertility_family_building_benefits": null, "adoption_assistance_offered": null, "surrogacy_assistance_offered": null, "student_loan_repayment_offered": null, "learning_budget_offered": null, "relocation_assistance": null, "top_startup_sources": [], "posted_at": "2026-06-10T00:00:00.000Z", "apply_url": "https://hcqq.fa.us2.oraclecloud.com/hcmUI/CandidateExperience/en/sites/CX_1/requisitions/job/40562", "apply_url_verified": false, "ats": "oracle_recruiting_cloud", "url_last_checked_alive": null, "removed_at": null, "description_excerpt": "Host Jacksonville, FL, United States Host", "parental_leave_weeks": null, "non_birth_parent_leave_weeks": null, "parental_leave_weeks_source": null, "non_birth_parent_leave_weeks_source": null, "parental_leave_source_url": null, "pto_days": null, "unlimited_pto": false, "sabbatical_eligible": false, "family_friendly_score": 40, "benefit_verified": false, "benefit_last_verified": null, "hire_states_allowed": [], "state_eligibility_source": null, "state_eligibility_enriched_at": null, "llm_quality_pass_at": null, "llm_signals_at": null, "llm_extraction_run_id": null, "llm_extraction_extracted_at": null, "llm_extraction_field_sources": { "seniority": { "field": "seniority", "source": "llm:greenfield:inv_371_postfix", "db_column": "seniority" }, "equity_type": { "source": "sec_10k", "source_url": "https://www.sec.gov/Archives/edgar/data/1528849/000110465926037992/rh-20260131x10k.htm", "source_fields": [ "equity_offered", "equity_type" ] }, "salary_type": { "field": "salary_type", "source": "llm:greenfield:inv_371_postfix", "db_column": "salary_type" }, "equity_included": { "source": "sec_10k", "source_url": "https://www.sec.gov/Archives/edgar/data/1528849/000110465926037992/rh-20260131x10k.htm", "source_fields": [ "equity_offered", "equity_type" ] }, "education_required": { "field": "education_required", "source": "llm:greenfield:inv_371_postfix", "db_column": "education_required" } }, "seniority": "mid", "seniority_source": "llm:greenfield:inv_371_postfix", "years_experience_min": 3, "years_experience_max": 7, "role_function": "other", "role_function_source": "unknown", "company_stage": null, "company_stage_source": null, "employer_industry": null, "employer_industry_source": null, "employer_size": null, "quality_score": 35, "travel_pct": null, "requires_shift": null, "shift_type": "unknown", "shift_type_source": null, "weekend_work": "unknown", "weekend_work_source": null, "relocation_assistance_source": null, "contractor_w2": "unknown", "required_timezone": null, "fertility_family_building_benefits_source": null, "mental_health_support_source": null, "adoption_assistance_offered_source": null, "childcare_subsidy_source": null, "learning_budget_offered_source": null, "surrogacy_assistance_offered_source": null, "cover_letter_required": null, "cover_letter_required_source": null, "assessment_required": null, "assessment_required_source": null, "application_deadline": null, "application_deadline_source": null, "visa_sponsorship": false, "us_citizenship_required": false, "security_clearance": "none", "education_required": "none", "roll_up_count": null, "roll_up_total_locations": null, "explanations": [ { "schema_version": "inv382.match_signal.v1", "signal_id": "sig.semantic.title.0d0333313822bcb3fd", "query_id": "gq_99e1b305e21f24a9d00b", "job_id": "a04b787b1daa6a1ee0599531a76eeec2", "signal_type": "query_match", "display_text": "Title: semantic match", "tooltip": "Title provided semantic evidence for your search intent.", "source_binding": "reranker_semantic_evidence", "source_field": "title", "source_value": "Host", "matched_input": "flink", "derivation_source": "rerank_result.semantic_evidence", "candidate_evidence_id": null, "rerank_evidence_id": "rerank:0b846c0fe73235fdb5d5fd20", "taxonomy_alias_id": null, "oracle_verification_method": "reranker_evidence_exists", "counts_for_non_trivial_query": true, "truth_verified": true, "exact": false, "priority": 86, "mobile_priority": 2, "ui": { "icon": "Sparkles", "tone": "match", "href": null } }, { "schema_version": "inv382.match_signal.v1", "signal_id": "sig.semantic.role_function.2b877dddb4b8d4754d", "query_id": "gq_99e1b305e21f24a9d00b", "job_id": "a04b787b1daa6a1ee0599531a76eeec2", "signal_type": "query_match", "display_text": "Role: semantic match", "tooltip": "Role provided semantic evidence for your search intent.", "source_binding": "vector_semantic_evidence", "source_field": "role_function", "source_value": "other", "matched_input": "flink", "derivation_source": "candidate_result.raw_match_evidence", "candidate_evidence_id": "ev:gq_99e1b305e21f24a9d00b:a04b787b1daa6a1ee0599531a76eeec2:vector", "rerank_evidence_id": null, "taxonomy_alias_id": null, "oracle_verification_method": "candidate_evidence_exists", "counts_for_non_trivial_query": true, "truth_verified": true, "exact": false, "priority": 74, "mobile_priority": 2, "ui": { "icon": "Sparkles", "tone": "match", "href": null } } ], "parental_leave_source_label": null, "k401_match_source_label": null, "k401_contribution_source_label": null, "apply_url_checked_at": null, "apply_url_verification_status": "not_reachable_or_not_checked", "apply_url_verification_label": "Not checked or not reachable at last crawl", "field_source_signals": { "equity_included": { "tier": "government", "verified": true, "label": "Verified - SEC 10-K", "source_label": "SEC 10-K", "href": "https://www.sec.gov/Archives/edgar/data/1528849/000110465926037992/rh-20260131x10k.htm", "source_values": [ "sec_10k", "https://www.sec.gov/Archives/edgar/data/1528849/000110465926037992/rh-20260131x10k.htm" ], "checked_at": null }, "seniority": { "tier": "posting", "verified": true, "label": "From the posting", "source_label": "the posting", "href": "https://hcqq.fa.us2.oraclecloud.com/hcmUI/CandidateExperience/en/sites/CX_1/requisitions/job/40562", "source_values": [ "llm:greenfield:inv_371_postfix" ], "checked_at": null } } }, { "id": "8f2e84f37f7608fbff0cc3e9e8736e6a", "title": "FLC Connectivity Specialist", "employer_name": "Baxter International", "employer_slug": "baxter-international", "location_text": "Newbury, Berkshire", "country": "unknown", "employment_type": "unknown", "remote_status": "unspecified", "remote_status_source": null, "remote_status_enriched_at": null, "days_in_office": null, "timezone_overlap_hours": 3, "salary_min": null, "salary_max": null, "salary_min_source": null, "salary_max_source": null, "salary_currency": "UNSPECIFIED", "salary_type": "unknown", "salary_type_source": null, "salary_type_enriched_at": null, "salary_period": null, "base_salary_min": null, "base_salary_max": null, "salary_disclosed": false, "equity_included": true, "equity_included_source": null, "equity_type": [ "rsu", "options", "espp" ], "k401_match": "yes", "match_401k_pct": null, "match_401k_pct_source": null, "k401_match_source_url": null, "k401_match_source_fields": [ "EMPLR_CONTRIB_INCOME_AMT" ], "k401_contribution_source_url": null, "k401_contribution_source_fields": [ "EMPLR_CONTRIB_INCOME_AMT" ], "profit_sharing": false, "bonus_offered": false, "mental_health_support": null, "childcare_subsidy": null, "fertility_family_building_benefits": null, "adoption_assistance_offered": null, "surrogacy_assistance_offered": null, "student_loan_repayment_offered": null, "learning_budget_offered": null, "relocation_assistance": null, "top_startup_sources": [], "posted_at": "2026-05-29T00:00:00.000Z", "apply_url": "https://baxter.wd1.myworkdayjobs.com/baxter/job/Newbury-Berkshire/FLC-Connectivity-Specialist_JR-201591-1", "apply_url_verified": false, "ats": "workday", "url_last_checked_alive": null, "removed_at": null, "description_excerpt": "FLC Connectivity Specialist Newbury, Berkshire posted: Posted 14 Days Ago", "parental_leave_weeks": null, "non_birth_parent_leave_weeks": null, "parental_leave_weeks_source": null, "non_birth_parent_leave_weeks_source": null, "parental_leave_source_url": null, "pto_days": null, "unlimited_pto": false, "sabbatical_eligible": false, "family_friendly_score": 40, "benefit_verified": true, "benefit_last_verified": "2026-06-13T01:18:42.546Z", "hire_states_allowed": [], "state_eligibility_source": null, "state_eligibility_enriched_at": null, "llm_quality_pass_at": null, "llm_signals_at": null, "llm_extraction_run_id": null, "llm_extraction_extracted_at": null, "llm_extraction_field_sources": { "seniority": { "field": "seniority", "source": "llm:greenfield:inv_371_postfix", "db_column": "seniority" }, "k401_match": { "source": "dol_form_5500", "source_url": null, "source_fields": [ "EMPLR_CONTRIB_INCOME_AMT" ], "source_label": "DOL Form 5500 filing" }, "equity_type": { "source": "sec_10k", "source_url": "https://www.sec.gov/Archives/edgar/data/10456/000162828026007733/bax-20251231.htm", "source_fields": [ "equity_offered", "equity_type" ] }, "salary_type": { "field": "salary_type", "source": "llm:greenfield:inv_371_postfix", "db_column": "salary_type" }, "equity_included": { "source": "sec_10k", "source_url": "https://www.sec.gov/Archives/edgar/data/10456/000162828026007733/bax-20251231.htm", "source_fields": [ "equity_offered", "equity_type" ] }, "education_required": { "field": "education_required", "source": "llm:greenfield:inv_371_postfix", "db_column": "education_required" } }, "seniority": "mid", "seniority_source": "llm:greenfield:inv_371_postfix", "years_experience_min": 3, "years_experience_max": 7, "role_function": "other", "role_function_source": "unknown", "company_stage": null, "company_stage_source": null, "employer_industry": null, "employer_industry_source": null, "employer_size": null, "quality_score": 35, "travel_pct": null, "requires_shift": null, "shift_type": "unknown", "shift_type_source": null, "weekend_work": "unknown", "weekend_work_source": null, "relocation_assistance_source": null, "contractor_w2": "unknown", "required_timezone": null, "fertility_family_building_benefits_source": null, "mental_health_support_source": null, "adoption_assistance_offered_source": null, "childcare_subsidy_source": null, "learning_budget_offered_source": null, "surrogacy_assistance_offered_source": null, "cover_letter_required": null, "cover_letter_required_source": null, "assessment_required": null, "assessment_required_source": null, "application_deadline": null, "application_deadline_source": null, "visa_sponsorship": false, "us_citizenship_required": false, "security_clearance": "none", "education_required": "none", "roll_up_count": null, "roll_up_total_locations": null, "explanations": [ { "schema_version": "inv382.match_signal.v1", "signal_id": "sig.semantic.title.0d47e8539bad3fa0b9", "query_id": "gq_99e1b305e21f24a9d00b", "job_id": "8f2e84f37f7608fbff0cc3e9e8736e6a", "signal_type": "query_match", "display_text": "Title: semantic match", "tooltip": "Title provided semantic evidence for your search intent.", "source_binding": "reranker_semantic_evidence", "source_field": "title", "source_value": "FLC Connectivity Specialist", "matched_input": "flink", "derivation_source": "rerank_result.semantic_evidence", "candidate_evidence_id": null, "rerank_evidence_id": "rerank:858d2d2c97cffa78c3f0eb49", "taxonomy_alias_id": null, "oracle_verification_method": "reranker_evidence_exists", "counts_for_non_trivial_query": true, "truth_verified": true, "exact": false, "priority": 86, "mobile_priority": 2, "ui": { "icon": "Sparkles", "tone": "match", "href": null } }, { "schema_version": "inv382.match_signal.v1", "signal_id": "sig.semantic.role_function.2abfada86af8c7e0a6", "query_id": "gq_99e1b305e21f24a9d00b", "job_id": "8f2e84f37f7608fbff0cc3e9e8736e6a", "signal_type": "query_match", "display_text": "Role: semantic match", "tooltip": "Role provided semantic evidence for your search intent.", "source_binding": "vector_semantic_evidence", "source_field": "role_function", "source_value": "other", "matched_input": "flink", "derivation_source": "candidate_result.raw_match_evidence", "candidate_evidence_id": "ev:gq_99e1b305e21f24a9d00b:8f2e84f37f7608fbff0cc3e9e8736e6a:vector", "rerank_evidence_id": null, "taxonomy_alias_id": null, "oracle_verification_method": "candidate_evidence_exists", "counts_for_non_trivial_query": true, "truth_verified": true, "exact": false, "priority": 74, "mobile_priority": 2, "ui": { "icon": "Sparkles", "tone": "match", "href": null } } ], "source_label": "DOL Form 5500 filing", "parental_leave_source_label": null, "k401_match_source_label": "DOL Form 5500 filing", "k401_contribution_source_label": "DOL Form 5500 filing", "apply_url_checked_at": null, "apply_url_verification_status": "not_reachable_or_not_checked", "apply_url_verification_label": "Not checked or not reachable at last crawl", "field_source_signals": { "equity_included": { "tier": "government", "verified": true, "label": "Verified - SEC 10-K", "source_label": "SEC 10-K", "href": "https://www.sec.gov/Archives/edgar/data/10456/000162828026007733/bax-20251231.htm", "source_values": [ "sec_10k", "https://www.sec.gov/Archives/edgar/data/10456/000162828026007733/bax-20251231.htm" ], "checked_at": null }, "k401_match": { "tier": "government", "verified": true, "label": "Verified - DOL Form 5500", "source_label": "DOL Form 5500", "href": null, "source_values": [ "dol_form_5500", "EMPLR_CONTRIB_INCOME_AMT" ], "checked_at": "2026-06-13T01:18:42.546Z" }, "seniority": { "tier": "posting", "verified": true, "label": "From the posting", "source_label": "the posting", "href": "https://baxter.wd1.myworkdayjobs.com/baxter/job/Newbury-Berkshire/FLC-Connectivity-Specialist_JR-201591-1", "source_values": [ "llm:greenfield:inv_371_postfix" ], "checked_at": null } } }, { "id": "3badca44981a1344478b7f01278b62c9", "title": "Material Handler II", "employer_name": "Jabil", "employer_slug": "jabil", "location_text": "St. Petersburg/Tampa, FL", "country": "US", "employment_type": "unknown", "remote_status": "unspecified", "remote_status_source": null, "remote_status_enriched_at": null, "days_in_office": null, "timezone_overlap_hours": 6, "salary_min": null, "salary_max": null, "salary_min_source": null, "salary_max_source": null, "salary_currency": "UNSPECIFIED", "salary_type": "unknown", "salary_type_source": null, "salary_type_enriched_at": null, "salary_period": null, "base_salary_min": null, "base_salary_max": null, "salary_disclosed": false, "equity_included": true, "equity_included_source": null, "equity_type": [ "rsu", "options", "espp", "profit_share" ], "k401_match": "yes", "match_401k_pct": null, "match_401k_pct_source": null, "k401_match_source_url": null, "k401_match_source_fields": [ "EMPLR_CONTRIB_INCOME_AMT" ], "k401_contribution_source_url": null, "k401_contribution_source_fields": [ "EMPLR_CONTRIB_INCOME_AMT" ], "profit_sharing": false, "bonus_offered": false, "mental_health_support": null, "childcare_subsidy": null, "fertility_family_building_benefits": null, "adoption_assistance_offered": null, "surrogacy_assistance_offered": null, "student_loan_repayment_offered": null, "learning_budget_offered": null, "relocation_assistance": null, "top_startup_sources": [], "posted_at": "2026-05-12T00:00:00.000Z", "apply_url": "https://jabil.wd5.myworkdayjobs.com/Jabil_Careers/job/St-PetersburgTampa-FL/Material-Handler-II_J2448743", "apply_url_verified": false, "ats": "workday", "url_last_checked_alive": null, "removed_at": null, "description_excerpt": "Material Handler II St. Petersburg/Tampa, FL posted: Posted 30+ Days Ago", "parental_leave_weeks": null, "non_birth_parent_leave_weeks": null, "parental_leave_weeks_source": null, "non_birth_parent_leave_weeks_source": null, "parental_leave_source_url": null, "pto_days": null, "unlimited_pto": false, "sabbatical_eligible": false, "family_friendly_score": 40, "benefit_verified": true, "benefit_last_verified": "2026-06-13T01:18:42.546Z", "hire_states_allowed": [], "state_eligibility_source": null, "state_eligibility_enriched_at": null, "llm_quality_pass_at": null, "llm_signals_at": null, "llm_extraction_run_id": null, "llm_extraction_extracted_at": null, "llm_extraction_field_sources": { "seniority": { "field": "seniority", "source": "llm:greenfield:inv_371_postfix", "db_column": "seniority" }, "k401_match": { "source": "dol_form_5500", "source_url": null, "source_fields": [ "EMPLR_CONTRIB_INCOME_AMT" ], "source_label": "DOL Form 5500 filing" }, "equity_type": { "source": "sec_10k", "source_url": "https://www.sec.gov/Archives/edgar/data/898293/000162828025045293/jbl-20250831.htm", "source_fields": [ "equity_offered", "equity_type" ] }, "salary_type": { "field": "salary_type", "source": "llm:greenfield:inv_371_postfix", "db_column": "salary_type" }, "role_function": { "field": "role_function", "source": "rule", "db_column": "role_function" }, "equity_included": { "source": "sec_10k", "source_url": "https://www.sec.gov/Archives/edgar/data/898293/000162828025045293/jbl-20250831.htm", "source_fields": [ "equity_offered", "equity_type" ] }, "education_required": { "field": "education_required", "source": "llm:greenfield:inv_371_postfix", "db_column": "education_required" } }, "seniority": "mid", "seniority_source": "llm:greenfield:inv_371_postfix", "years_experience_min": 3, "years_experience_max": 7, "role_function": "trades", "role_function_source": "rule", "company_stage": null, "company_stage_source": null, "employer_industry": "Technology", "employer_industry_source": "wikidata_sparql_industry", "employer_size": "5000+", "quality_score": 35, "travel_pct": null, "requires_shift": null, "shift_type": "unknown", "shift_type_source": null, "weekend_work": "unknown", "weekend_work_source": null, "relocation_assistance_source": null, "contractor_w2": "unknown", "required_timezone": null, "fertility_family_building_benefits_source": null, "mental_health_support_source": null, "adoption_assistance_offered_source": null, "childcare_subsidy_source": null, "learning_budget_offered_source": null, "surrogacy_assistance_offered_source": null, "cover_letter_required": null, "cover_letter_required_source": null, "assessment_required": null, "assessment_required_source": null, "application_deadline": null, "application_deadline_source": null, "visa_sponsorship": false, "us_citizenship_required": false, "security_clearance": "none", "education_required": "none", "roll_up_count": null, "roll_up_total_locations": null, "explanations": [ { "schema_version": "inv382.match_signal.v1", "signal_id": "sig.semantic.title.232bbad7464ceccdb4", "query_id": "gq_99e1b305e21f24a9d00b", "job_id": "3badca44981a1344478b7f01278b62c9", "signal_type": "query_match", "display_text": "Title: semantic match", "tooltip": "Title provided semantic evidence for your search intent.", "source_binding": "reranker_semantic_evidence", "source_field": "title", "source_value": "Material Handler II", "matched_input": "flink", "derivation_source": "rerank_result.semantic_evidence", "candidate_evidence_id": null, "rerank_evidence_id": "rerank:3ce62e5bda7ebc47541549a1", "taxonomy_alias_id": null, "oracle_verification_method": "reranker_evidence_exists", "counts_for_non_trivial_query": true, "truth_verified": true, "exact": false, "priority": 86, "mobile_priority": 2, "ui": { "icon": "Sparkles", "tone": "match", "href": null } }, { "schema_version": "inv382.match_signal.v1", "signal_id": "sig.semantic.role_function.5c3bf0bcdc57de7502", "query_id": "gq_99e1b305e21f24a9d00b", "job_id": "3badca44981a1344478b7f01278b62c9", "signal_type": "query_match", "display_text": "Role: semantic match", "tooltip": "Role provided semantic evidence for your search intent.", "source_binding": "vector_semantic_evidence", "source_field": "role_function", "source_value": "trades", "matched_input": "flink", "derivation_source": "candidate_result.raw_match_evidence", "candidate_evidence_id": "ev:gq_99e1b305e21f24a9d00b:3badca44981a1344478b7f01278b62c9:vector", "rerank_evidence_id": null, "taxonomy_alias_id": null, "oracle_verification_method": "candidate_evidence_exists", "counts_for_non_trivial_query": true, "truth_verified": true, "exact": false, "priority": 74, "mobile_priority": 2, "ui": { "icon": "Sparkles", "tone": "match", "href": null } } ], "source_label": "DOL Form 5500 filing", "parental_leave_source_label": null, "k401_match_source_label": "DOL Form 5500 filing", "k401_contribution_source_label": "DOL Form 5500 filing", "apply_url_checked_at": null, "apply_url_verification_status": "not_reachable_or_not_checked", "apply_url_verification_label": "Not checked or not reachable at last crawl", "field_source_signals": { "equity_included": { "tier": "government", "verified": true, "label": "Verified - SEC 10-K", "source_label": "SEC 10-K", "href": "https://www.sec.gov/Archives/edgar/data/898293/000162828025045293/jbl-20250831.htm", "source_values": [ "sec_10k", "https://www.sec.gov/Archives/edgar/data/898293/000162828025045293/jbl-20250831.htm" ], "checked_at": null }, "k401_match": { "tier": "government", "verified": true, "label": "Verified - DOL Form 5500", "source_label": "DOL Form 5500", "href": null, "source_values": [ "dol_form_5500", "EMPLR_CONTRIB_INCOME_AMT" ], "checked_at": "2026-06-13T01:18:42.546Z" }, "seniority": { "tier": "posting", "verified": true, "label": "From the posting", "source_label": "the posting", "href": "https://jabil.wd5.myworkdayjobs.com/Jabil_Careers/job/St-PetersburgTampa-FL/Material-Handler-II_J2448743", "source_values": [ "llm:greenfield:inv_371_postfix" ], "checked_at": null }, "role_function": { "tier": "posting", "verified": true, "label": "From the posting", "source_label": "the posting", "href": "https://jabil.wd5.myworkdayjobs.com/Jabil_Careers/job/St-PetersburgTampa-FL/Material-Handler-II_J2448743", "source_values": [ "rule" ], "checked_at": null }, "employer_industry": { "tier": "government", "verified": true, "label": "Verified - Wikidata", "source_label": "Wikidata", "href": null, "source_values": [ "wikidata_sparql_industry" ], "checked_at": null } } }, { "id": "644d62b4d4bd4ec1bd14774afa570af5", "title": "Test 2 Tags", "employer_name": "MEGA", "employer_slug": "mega", "location_text": "Ponte Vedra Beach, FL", "country": "US", "employment_type": "unknown", "remote_status": "unspecified", "remote_status_source": null, "remote_status_enriched_at": null, "days_in_office": null, "timezone_overlap_hours": 6, "salary_min": null, "salary_max": null, "salary_min_source": null, "salary_max_source": null, "salary_currency": "USD", "salary_type": "unknown", "salary_type_source": null, "salary_type_enriched_at": null, "salary_period": null, "base_salary_min": null, "base_salary_max": null, "salary_disclosed": false, "equity_included": false, "equity_included_source": null, "equity_type": [ "none" ], "k401_match": null, "match_401k_pct": null, "match_401k_pct_source": null, "k401_match_source_url": null, "k401_match_source_fields": [], "k401_contribution_source_url": null, "k401_contribution_source_fields": [], "profit_sharing": false, "bonus_offered": false, "mental_health_support": null, "childcare_subsidy": null, "fertility_family_building_benefits": null, "adoption_assistance_offered": null, "surrogacy_assistance_offered": null, "student_loan_repayment_offered": null, "learning_budget_offered": null, "relocation_assistance": null, "top_startup_sources": [ "a16z" ], "posted_at": "2026-01-27T22:05:53.435Z", "apply_url": "https://jobs.lever.co/mega/91e8051b-2197-4558-8290-bde84b96fe9d", "apply_url_verified": false, "ats": "lever", "url_last_checked_alive": null, "removed_at": null, "description_excerpt": "Test 2 Tags Ponte Vedra Beach, FL Test 2 Tags", "parental_leave_weeks": null, "non_birth_parent_leave_weeks": null, "parental_leave_weeks_source": null, "non_birth_parent_leave_weeks_source": null, "parental_leave_source_url": null, "pto_days": null, "unlimited_pto": false, "sabbatical_eligible": false, "family_friendly_score": 43, "benefit_verified": false, "benefit_last_verified": null, "hire_states_allowed": [], "state_eligibility_source": null, "state_eligibility_enriched_at": null, "llm_quality_pass_at": null, "llm_signals_at": null, "llm_extraction_run_id": null, "llm_extraction_extracted_at": null, "llm_extraction_field_sources": { "seniority": { "field": "seniority", "source": "llm:greenfield:inv_371_postfix", "db_column": "seniority" }, "salary_type": { "field": "salary_type", "source": "llm:greenfield:inv_371_postfix", "db_column": "salary_type" }, "education_required": { "field": "education_required", "source": "llm:greenfield:inv_371_postfix", "db_column": "education_required" } }, "seniority": "mid", "seniority_source": "llm:greenfield:inv_371_postfix", "years_experience_min": 3, "years_experience_max": 7, "role_function": "other", "role_function_source": "unknown", "company_stage": null, "company_stage_source": null, "employer_industry": null, "employer_industry_source": null, "employer_size": "51-200", "quality_score": 35, "travel_pct": null, "requires_shift": null, "shift_type": "unknown", "shift_type_source": null, "weekend_work": "unknown", "weekend_work_source": null, "relocation_assistance_source": null, "contractor_w2": "unknown", "required_timezone": null, "fertility_family_building_benefits_source": null, "mental_health_support_source": null, "adoption_assistance_offered_source": null, "childcare_subsidy_source": null, "learning_budget_offered_source": null, "surrogacy_assistance_offered_source": null, "cover_letter_required": null, "cover_letter_required_source": null, "assessment_required": null, "assessment_required_source": null, "application_deadline": null, "application_deadline_source": null, "visa_sponsorship": false, "us_citizenship_required": false, "security_clearance": "none", "education_required": "none", "roll_up_count": null, "roll_up_total_locations": null, "explanations": [ { "schema_version": "inv382.match_signal.v1", "signal_id": "sig.semantic.title.5c621758eb2ee69af8", "query_id": "gq_99e1b305e21f24a9d00b", "job_id": "644d62b4d4bd4ec1bd14774afa570af5", "signal_type": "query_match", "display_text": "Title: semantic match", "tooltip": "Title provided semantic evidence for your search intent.", "source_binding": "reranker_semantic_evidence", "source_field": "title", "source_value": "Test 2 Tags", "matched_input": "flink", "derivation_source": "rerank_result.semantic_evidence", "candidate_evidence_id": null, "rerank_evidence_id": "rerank:53670011779ab2e56df745c5", "taxonomy_alias_id": null, "oracle_verification_method": "reranker_evidence_exists", "counts_for_non_trivial_query": true, "truth_verified": true, "exact": false, "priority": 86, "mobile_priority": 2, "ui": { "icon": "Sparkles", "tone": "match", "href": null } }, { "schema_version": "inv382.match_signal.v1", "signal_id": "sig.semantic.role_function.3eea8e5a78828c8007", "query_id": "gq_99e1b305e21f24a9d00b", "job_id": "644d62b4d4bd4ec1bd14774afa570af5", "signal_type": "query_match", "display_text": "Role: semantic match", "tooltip": "Role provided semantic evidence for your search intent.", "source_binding": "vector_semantic_evidence", "source_field": "role_function", "source_value": "other", "matched_input": "flink", "derivation_source": "candidate_result.raw_match_evidence", "candidate_evidence_id": "ev:gq_99e1b305e21f24a9d00b:644d62b4d4bd4ec1bd14774afa570af5:vector", "rerank_evidence_id": null, "taxonomy_alias_id": null, "oracle_verification_method": "candidate_evidence_exists", "counts_for_non_trivial_query": true, "truth_verified": true, "exact": false, "priority": 74, "mobile_priority": 2, "ui": { "icon": "Sparkles", "tone": "match", "href": null } } ], "parental_leave_source_label": null, "k401_match_source_label": null, "k401_contribution_source_label": null, "apply_url_checked_at": null, "apply_url_verification_status": "not_reachable_or_not_checked", "apply_url_verification_label": "Not checked or not reachable at last crawl", "field_source_signals": { "equity_included": { "tier": "inferred", "verified": false, "label": "Inferred - source not recorded", "source_label": "source not recorded", "href": null, "source_values": [], "checked_at": null }, "seniority": { "tier": "posting", "verified": true, "label": "From the posting", "source_label": "the posting", "href": "https://jobs.lever.co/mega/91e8051b-2197-4558-8290-bde84b96fe9d", "source_values": [ "llm:greenfield:inv_371_postfix" ], "checked_at": null } } }, { "id": "237e35c0eef848a20c9184a0e75776c6", "title": "Data Platform Engineering Manager", "employer_name": "Kraken", "employer_slug": "kraken", "location_text": "United Kingdom, London, Canada, Portugal, Ireland, Brazil, Cyprus, Estonia, Romania, Peru, Panama, Spain, Slovenia, Czech Republic, Hungary, Mexico, Poland, Bulgaria", "country": "CA", "employment_type": "unknown", "remote_status": "unspecified", "remote_status_source": null, "remote_status_enriched_at": null, "days_in_office": null, "timezone_overlap_hours": 6, "salary_min": null, "salary_max": null, "salary_min_source": null, "salary_max_source": null, "salary_currency": "UNSPECIFIED", "salary_type": "unknown", "salary_type_source": null, "salary_type_enriched_at": null, "salary_period": null, "base_salary_min": null, "base_salary_max": null, "salary_disclosed": false, "equity_included": false, "equity_included_source": null, "equity_type": [ "none" ], "k401_match": null, "match_401k_pct": null, "match_401k_pct_source": null, "k401_match_source_url": null, "k401_match_source_fields": [], "k401_contribution_source_url": null, "k401_contribution_source_fields": [], "profit_sharing": false, "bonus_offered": false, "mental_health_support": null, "childcare_subsidy": null, "fertility_family_building_benefits": null, "adoption_assistance_offered": null, "surrogacy_assistance_offered": null, "student_loan_repayment_offered": null, "learning_budget_offered": null, "relocation_assistance": null, "top_startup_sources": [ "cbinsights_unicorn" ], "posted_at": "2026-04-24T09:51:03.569Z", "apply_url": "https://jobs.ashbyhq.com/kraken.com/cf14a771-0586-41de-b379-fe301c3c8120", "apply_url_verified": false, "ats": "ashby", "url_last_checked_alive": null, "removed_at": null, "description_excerpt": "Data Platform Engineering Manager United Kingdom, London, Canada, Portugal, Ireland, Brazil, Cyprus, Estonia, Romania, Peru, Panama, Spain, Slovenia, Czech Republic, Hungary, Mexico, Poland, Bulgaria Building the Future of Open Finance Payward - the parent company behind Kraken, NinjaTrader, Breakout, xStocks, Payward Services and CF Benchmarks - has spent the last 15 years building one of the most modern and globally accessible financial infrastructure platforms in the industry, built to advance an open, global financial system. Before you apply, we encourage you to explore our culture page to understand what drives us and how we work. The team Founded in 2011, Kraken is one of the world's longest-standing crypto platforms, trusted by over 10 million individuals and institutions across the globe. It offers spot trading, margin, futures, staking, and OTC services, with products built for both individual investors and institutional clients. Kraken's Data Platform team builds the real-time infrastructure that powers decision-making across one of the world's largest digital asset exchanges. We operate at the intersection of streaming data, large-scale platform engineering, and AI-driven automation - processing billions of events daily across trading, compliance, and product systems. This role leads the team responsible for Kraken's streaming and data platform layer - designing systems that move, transform, and serve data in real time. You'll own the architecture around stream processing (RisingWave, Flink), drive adoption of AI-powered automation and workflows across the data stack, and build the platform primitives that the rest of engineering depends on. The opportunity - Lead and grow a", "parental_leave_weeks": null, "non_birth_parent_leave_weeks": null, "parental_leave_weeks_source": null, "non_birth_parent_leave_weeks_source": null, "parental_leave_source_url": null, "pto_days": null, "unlimited_pto": false, "sabbatical_eligible": false, "family_friendly_score": 43, "benefit_verified": false, "benefit_last_verified": null, "hire_states_allowed": [], "state_eligibility_source": null, "state_eligibility_enriched_at": null, "llm_quality_pass_at": null, "llm_signals_at": "2026-06-20T05:42:05.724Z", "llm_extraction_run_id": "postfix_final_004037", "llm_extraction_extracted_at": null, "llm_extraction_field_sources": { "seniority": { "field": "seniority", "source": "llm:greenfield:inv_371_postfix", "db_column": "seniority" }, "years_min": { "field": "years_min", "source": "llm:greenfield:inv_371_postfix", "db_column": "years_experience_min" }, "tech_stack": { "field": "tech_stack", "source": "llm:greenfield:inv_371_postfix", "db_column": "tech_stack" }, "role_family": { "field": "role_family", "source": "llm:greenfield:inv_371_postfix", "db_column": "role_family" }, "salary_type": { "field": "salary_type", "source": "llm:greenfield:inv_371_postfix", "db_column": "salary_type" }, "role_function": { "field": "role_function", "source": "llm:greenfield:inv_371_postfix", "db_column": "role_function" }, "education_required": { "field": "education_required", "source": "llm:greenfield:inv_371_postfix", "db_column": "education_required" } }, "seniority": "mid", "seniority_source": "llm:greenfield:inv_371_postfix", "years_experience_min": 8, "years_experience_max": 9, "role_function": "engineering", "role_function_source": "llm:greenfield:inv_371_postfix", "company_stage": null, "company_stage_source": null, "employer_industry": null, "employer_industry_source": null, "employer_size": "51-200", "quality_score": 45, "travel_pct": null, "requires_shift": null, "shift_type": "unknown", "shift_type_source": null, "weekend_work": "unknown", "weekend_work_source": null, "relocation_assistance_source": null, "contractor_w2": "unknown", "required_timezone": null, "fertility_family_building_benefits_source": null, "mental_health_support_source": null, "adoption_assistance_offered_source": null, "childcare_subsidy_source": null, "learning_budget_offered_source": null, "surrogacy_assistance_offered_source": null, "cover_letter_required": null, "cover_letter_required_source": null, "assessment_required": null, "assessment_required_source": null, "application_deadline": null, "application_deadline_source": null, "visa_sponsorship": false, "us_citizenship_required": false, "security_clearance": "none", "education_required": "none", "roll_up_count": null, "roll_up_total_locations": null, "explanations": [ { "schema_version": "inv382.match_signal.v1", "signal_id": "sig.query.description_excerpt.4ff353cccc0675ff06", "query_id": "gq_99e1b305e21f24a9d00b", "job_id": "237e35c0eef848a20c9184a0e75776c6", "signal_type": "query_match", "display_text": "Description: \"flink\"", "tooltip": "Description matched \"flink\" from your search.", "source_binding": "bm25_field_evidence", "source_field": "description_excerpt", "source_value": "Data Platform Engineering Manager United Kingdom, London, Canada, Portugal, Ireland, Brazil, Cyprus, Estonia, Romania, Peru, Panama, Spain, Slovenia, Czech Republic, Hungary, Mexico, Poland, Bulgaria Building the Future of Open Finance Payward - the parent company behind Kraken, NinjaTrader, Breakout, xStocks, Payward Services and CF Benchmarks - has spent the last 15 years building one of the most modern and globally accessible financial infrastructure platforms in the industry, built to advance an open, global financial system. Before you apply, we encourage you to explore our culture page to understand what drives us and how we work. The team Founded in 2011, Kraken is one of the world's longest-standing crypto platforms, trusted by over 10 million individuals and institutions across the globe. It offers spot trading, margin, futures, staking, and OTC services, with products built for both individual investors and institutional clients. Kraken's Data Platform team builds the real-time infrastructure that powers decision-making across one of the world's largest digital asset exchanges. We operate at the intersection of streaming data, large-scale platform engineering, and AI-driven automation - processing billions of events daily across trading, compliance, and product systems. This role leads the team responsible for Kraken's streaming and data platform layer - designing systems that move, transform, and serve data in real time. You'll own the architecture around stream processing (RisingWave, Flink), drive adoption of AI-powered automation and workflows across the data stack, and build the platform primitives that the rest of engineering depends on. The opportunity - Lead and grow a", "matched_input": "flink", "derivation_source": "candidate_result.raw_match_evidence", "candidate_evidence_id": "ev:gq_99e1b305e21f24a9d00b:237e35c0eef848a20c9184a0e75776c6:description:flink", "rerank_evidence_id": null, "taxonomy_alias_id": null, "oracle_verification_method": "candidate_evidence_exists", "counts_for_non_trivial_query": true, "truth_verified": true, "exact": true, "priority": 90, "mobile_priority": 1, "ui": { "icon": "Search", "tone": "match", "href": null } }, { "schema_version": "inv382.match_signal.v1", "signal_id": "sig.semantic.description_excerpt.9c01aee4e7265c7eaa", "query_id": "gq_99e1b305e21f24a9d00b", "job_id": "237e35c0eef848a20c9184a0e75776c6", "signal_type": "query_match", "display_text": "Description: semantic match", "tooltip": "Description provided semantic evidence for your search intent.", "source_binding": "reranker_semantic_evidence", "source_field": "description_excerpt", "source_value": "Data Platform Engineering Manager United Kingdom, London, Canada, Portugal, Ireland, Brazil, Cyprus, Estonia, Romania, Peru, Panama, Spain, Slovenia, Czech Republic, Hungary, Mexico, Poland, Bulgaria Building the Future of Open Finance Payward - the parent company behind Kraken, NinjaTrader, Breakout, xStocks, Payward Services and CF Benchmarks - has spent the last 15 years building one of the most modern and globally accessible financial infrastructure platforms in the industry, built to advance an open, global financial system. Before you apply, we encourage you to explore our culture page to understand what drives us and how we work. The team Founded in 2011, Kraken is one of the world's longest-standing crypto platforms, trusted by over 10 million individuals and institutions across the globe. It offers spot trading, margin, futures, staking, and OTC services, with products built for both individual investors and institutional clients. Kraken's Data Platform team builds the real-time infrastructure that powers decision-making across one of the world's largest digital asset exchanges. We operate at the intersection of streaming data, large-scale platform engineering, and AI-driven automation - processing billions of events daily across trading, compliance, and product systems. This role leads the team responsible for Kraken's streaming and data platform layer - designing systems that move, transform, and serve data in real time. You'll own the architecture around stream processing (RisingWave, Flink), drive adoption of AI-powered automation and workflows across the data stack, and build the platform primitives that the rest of engineering depends on. The opportunity - Lead and grow a", "matched_input": "flink", "derivation_source": "rerank_result.semantic_evidence", "candidate_evidence_id": null, "rerank_evidence_id": "rerank:3b4619acd755662b3f6a8137", "taxonomy_alias_id": null, "oracle_verification_method": "reranker_evidence_exists", "counts_for_non_trivial_query": true, "truth_verified": true, "exact": false, "priority": 86, "mobile_priority": 2, "ui": { "icon": "Sparkles", "tone": "match", "href": null } }, { "schema_version": "inv382.match_signal.v1", "signal_id": "sig.query.description_excerpt.58685d035228e4e110", "query_id": "gq_99e1b305e21f24a9d00b", "job_id": "237e35c0eef848a20c9184a0e75776c6", "signal_type": "query_match", "display_text": "Description: \"flink\"", "tooltip": "Description contains \"flink\" from your search.", "source_binding": "token_match", "source_field": "description_excerpt", "source_value": "Data Platform Engineering Manager United Kingdom, London, Canada, Portugal, Ireland, Brazil, Cyprus, Estonia, Romania, Peru, Panama, Spain, Slovenia, Czech Republic, Hungary, Mexico, Poland, Bulgaria Building the Future of Open Finance Payward - the parent company behind Kraken, NinjaTrader, Breakout, xStocks, Payward Services and CF Benchmarks - has spent the last 15 years building one of the most modern and globally accessible financial infrastructure platforms in the industry, built to advance an open, global financial system. Before you apply, we encourage you to explore our culture page to understand what drives us and how we work. The team Founded in 2011, Kraken is one of the world's longest-standing crypto platforms, trusted by over 10 million individuals and institutions across the globe. It offers spot trading, margin, futures, staking, and OTC services, with products built for both individual investors and institutional clients. Kraken's Data Platform team builds the real-time infrastructure that powers decision-making across one of the world's largest digital asset exchanges. We operate at the intersection of streaming data, large-scale platform engineering, and AI-driven automation - processing billions of events daily across trading, compliance, and product systems. This role leads the team responsible for Kraken's streaming and data platform layer - designing systems that move, transform, and serve data in real time. You'll own the architecture around stream processing (RisingWave, Flink), drive adoption of AI-powered automation and workflows across the data stack, and build the platform primitives that the rest of engineering depends on. The opportunity - Lead and grow a", "matched_input": "flink", "derivation_source": "row_field", "candidate_evidence_id": null, "rerank_evidence_id": null, "taxonomy_alias_id": null, "oracle_verification_method": "row_field_contains", "counts_for_non_trivial_query": true, "truth_verified": true, "exact": true, "priority": 80, "mobile_priority": 2, "ui": { "icon": "SearchCheck", "tone": "match", "href": null } } ], "parental_leave_source_label": null, "k401_match_source_label": null, "k401_contribution_source_label": null, "apply_url_checked_at": null, "apply_url_verification_status": "not_reachable_or_not_checked", "apply_url_verification_label": "Not checked or not reachable at last crawl", "field_source_signals": { "equity_included": { "tier": "inferred", "verified": false, "label": "Inferred - source not recorded", "source_label": "source not recorded", "href": null, "source_values": [], "checked_at": "2026-06-20T05:42:05.724Z" }, "seniority": { "tier": "posting", "verified": true, "label": "From the posting", "source_label": "the posting", "href": "https://jobs.ashbyhq.com/kraken.com/cf14a771-0586-41de-b379-fe301c3c8120", "source_values": [ "llm:greenfield:inv_371_postfix" ], "checked_at": "2026-06-20T05:42:05.724Z" }, "role_function": { "tier": "posting", "verified": true, "label": "From the posting", "source_label": "the posting", "href": "https://jobs.ashbyhq.com/kraken.com/cf14a771-0586-41de-b379-fe301c3c8120", "source_values": [ "llm:greenfield:inv_371_postfix" ], "checked_at": "2026-06-20T05:42:05.724Z" } } }, { "id": "2cceea9cab05c07532656bfe2328c91b", "title": "Senior Platform Engineer", "employer_name": "Adyen", "employer_slug": "adyen", "location_text": "Bengaluru", "country": "IN", "employment_type": "unknown", "remote_status": "unspecified", "remote_status_source": null, "remote_status_enriched_at": null, "days_in_office": null, "timezone_overlap_hours": 3, "salary_min": null, "salary_max": null, "salary_min_source": null, "salary_max_source": null, "salary_currency": "EUR", "salary_type": "unknown", "salary_type_source": null, "salary_type_enriched_at": null, "salary_period": null, "base_salary_min": null, "base_salary_max": null, "salary_disclosed": false, "equity_included": true, "equity_included_source": null, "equity_type": [ "options" ], "k401_match": null, "match_401k_pct": null, "match_401k_pct_source": null, "k401_match_source_url": null, "k401_match_source_fields": [], "k401_contribution_source_url": null, "k401_contribution_source_fields": [], "profit_sharing": false, "bonus_offered": true, "mental_health_support": null, "childcare_subsidy": null, "fertility_family_building_benefits": null, "adoption_assistance_offered": null, "surrogacy_assistance_offered": null, "student_loan_repayment_offered": null, "learning_budget_offered": null, "relocation_assistance": null, "top_startup_sources": [], "posted_at": "2026-04-28T07:30:25.000Z", "apply_url": "https://job-boards.greenhouse.io/adyen/jobs/7547055", "apply_url_verified": false, "ats": "greenhouse", "url_last_checked_alive": null, "removed_at": null, "description_excerpt": "Senior Platform Engineer Bengaluru This is Adyen Adyen provides payments, data, and financial products in a single solution for customers like Meta, Uber, H&M, and Microsoft - making us the financial technology platform of choice. At Adyen, everything we do is engineered for ambition. For our teams, we create an environment with opportunities for our people to succeed, backed by the culture and support to ensure they are enabled to truly own their careers. We are motivated individuals who tackle unique technical challenges at scale and solve them as a team. Together, we deliver innovative and ethical solutions that help businesses achieve their ambitions faster. Senior Platform Engineer We are on the lookout for a Senior Platform Engineer to join our Platform Engineering organization. Our teams in this area are responsible for provisioning, running, and managing critical data systems like Apache Kafka, Apache Flink and ElasticSearch for all product teams, at massive scale. Within this role the candidate will primarily focus on one of these areas (ElasticSearch or Apache Kafka). As a Senior Platform Engineer your work will directly influence the resilience, performance, and developer experience of Adyen's core platform. A platform that was responsible for processing over a trillion euros worth of payments in 2025. What you'll do: - Design and implement : Build, maintain, and evolve the infrastructure and tooling that supports our core data platforms. - System reliability : Ensure the high availability, performance, and scalability of our Kafka, Flink and ElasticSearch platform - Troubleshoot and optimize", "parental_leave_weeks": null, "non_birth_parent_leave_weeks": null, "parental_leave_weeks_source": null, "non_birth_parent_leave_weeks_source": null, "parental_leave_source_url": null, "pto_days": null, "unlimited_pto": false, "sabbatical_eligible": false, "family_friendly_score": 40, "benefit_verified": false, "benefit_last_verified": null, "hire_states_allowed": [], "state_eligibility_source": null, "state_eligibility_enriched_at": null, "llm_quality_pass_at": null, "llm_signals_at": "2026-06-20T05:42:05.724Z", "llm_extraction_run_id": "postfix_final_004037", "llm_extraction_extracted_at": null, "llm_extraction_field_sources": { "seniority": { "field": "seniority", "source": "llm:greenfield:inv_371_postfix", "db_column": "seniority" }, "years_min": { "field": "years_min", "source": "llm:greenfield:inv_371_postfix", "db_column": "years_experience_min" }, "tech_stack": { "field": "tech_stack", "source": "llm:greenfield:inv_371_postfix", "db_column": "tech_stack" }, "role_family": { "field": "role_family", "source": "llm:greenfield:inv_371_postfix", "db_column": "role_family" }, "salary_type": { "field": "salary_type", "source": "llm:greenfield:inv_371_postfix", "db_column": "salary_type" }, "company_stage": { "field": "company_stage", "source": "llm:greenfield:inv_371_postfix", "db_column": "company_stage" }, "customer_type": { "field": "customer_type", "source": "llm:greenfield:inv_371_postfix", "db_column": "customer_type" }, "role_function": { "field": "role_function", "source": "llm:greenfield:inv_371_postfix", "db_column": "role_function" }, "equity_offered": { "field": "equity_offered", "source": "llm:greenfield:inv_371_postfix", "db_column": "equity_offered" }, "equity_included": { "field": "equity_included", "source": "derived:greenfield:inv_371_postfix", "db_column": "equity_included" }, "education_required": { "field": "education_required", "source": "llm:greenfield:inv_371_postfix", "db_column": "education_required" } }, "seniority": "senior", "seniority_source": "llm:greenfield:inv_371_postfix", "years_experience_min": 7, "years_experience_max": 9, "role_function": "engineering", "role_function_source": "llm:greenfield:inv_371_postfix", "company_stage": "public-company", "company_stage_source": "llm:greenfield:inv_371_postfix", "employer_industry": null, "employer_industry_source": null, "employer_size": null, "quality_score": 45, "travel_pct": null, "requires_shift": true, "shift_type": "unknown", "shift_type_source": null, "weekend_work": "unknown", "weekend_work_source": null, "relocation_assistance_source": null, "contractor_w2": "unknown", "required_timezone": null, "fertility_family_building_benefits_source": null, "mental_health_support_source": null, "adoption_assistance_offered_source": null, "childcare_subsidy_source": null, "learning_budget_offered_source": null, "surrogacy_assistance_offered_source": null, "cover_letter_required": null, "cover_letter_required_source": null, "assessment_required": null, "assessment_required_source": null, "application_deadline": null, "application_deadline_source": null, "visa_sponsorship": false, "us_citizenship_required": false, "security_clearance": "none", "education_required": "none", "roll_up_count": null, "roll_up_total_locations": null, "explanations": [ { "schema_version": "inv382.match_signal.v1", "signal_id": "sig.query.description_excerpt.4cc89ff53f24b46921", "query_id": "gq_99e1b305e21f24a9d00b", "job_id": "2cceea9cab05c07532656bfe2328c91b", "signal_type": "query_match", "display_text": "Description: \"flink\"", "tooltip": "Description matched \"flink\" from your search.", "source_binding": "bm25_field_evidence", "source_field": "description_excerpt", "source_value": "Senior Platform Engineer Bengaluru This is Adyen Adyen provides payments, data, and financial products in a single solution for customers like Meta, Uber, H&M, and Microsoft - making us the financial technology platform of choice. At Adyen, everything we do is engineered for ambition. For our teams, we create an environment with opportunities for our people to succeed, backed by the culture and support to ensure they are enabled to truly own their careers. We are motivated individuals who tackle unique technical challenges at scale and solve them as a team. Together, we deliver innovative and ethical solutions that help businesses achieve their ambitions faster. Senior Platform Engineer We are on the lookout for a Senior Platform Engineer to join our Platform Engineering organization. Our teams in this area are responsible for provisioning, running, and managing critical data systems like Apache Kafka, Apache Flink and ElasticSearch for all product teams, at massive scale. Within this role the candidate will primarily focus on one of these areas (ElasticSearch or Apache Kafka). As a Senior Platform Engineer your work will directly influence the resilience, performance, and developer experience of Adyen's core platform. A platform that was responsible for processing over a trillion euros worth of payments in 2025. What you'll do: - Design and implement : Build, maintain, and evolve the infrastructure and tooling that supports our core data platforms. - System reliability : Ensure the high availability, performance, and scalability of our Kafka, Flink and ElasticSearch platform - Troubleshoot and optimize", "matched_input": "flink", "derivation_source": "candidate_result.raw_match_evidence", "candidate_evidence_id": "ev:gq_99e1b305e21f24a9d00b:2cceea9cab05c07532656bfe2328c91b:description:flink", "rerank_evidence_id": null, "taxonomy_alias_id": null, "oracle_verification_method": "candidate_evidence_exists", "counts_for_non_trivial_query": true, "truth_verified": true, "exact": true, "priority": 90, "mobile_priority": 1, "ui": { "icon": "Search", "tone": "match", "href": null } }, { "schema_version": "inv382.match_signal.v1", "signal_id": "sig.semantic.description_excerpt.a9d9ac0c1a780d6dab", "query_id": "gq_99e1b305e21f24a9d00b", "job_id": "2cceea9cab05c07532656bfe2328c91b", "signal_type": "query_match", "display_text": "Description: semantic match", "tooltip": "Description provided semantic evidence for your search intent.", "source_binding": "reranker_semantic_evidence", "source_field": "description_excerpt", "source_value": "Senior Platform Engineer Bengaluru This is Adyen Adyen provides payments, data, and financial products in a single solution for customers like Meta, Uber, H&M, and Microsoft - making us the financial technology platform of choice. At Adyen, everything we do is engineered for ambition. For our teams, we create an environment with opportunities for our people to succeed, backed by the culture and support to ensure they are enabled to truly own their careers. We are motivated individuals who tackle unique technical challenges at scale and solve them as a team. Together, we deliver innovative and ethical solutions that help businesses achieve their ambitions faster. Senior Platform Engineer We are on the lookout for a Senior Platform Engineer to join our Platform Engineering organization. Our teams in this area are responsible for provisioning, running, and managing critical data systems like Apache Kafka, Apache Flink and ElasticSearch for all product teams, at massive scale. Within this role the candidate will primarily focus on one of these areas (ElasticSearch or Apache Kafka). As a Senior Platform Engineer your work will directly influence the resilience, performance, and developer experience of Adyen's core platform. A platform that was responsible for processing over a trillion euros worth of payments in 2025. What you'll do: - Design and implement : Build, maintain, and evolve the infrastructure and tooling that supports our core data platforms. - System reliability : Ensure the high availability, performance, and scalability of our Kafka, Flink and ElasticSearch platform - Troubleshoot and optimize", "matched_input": "flink", "derivation_source": "rerank_result.semantic_evidence", "candidate_evidence_id": null, "rerank_evidence_id": "rerank:38c14fef3eb5e5fe62498256", "taxonomy_alias_id": null, "oracle_verification_method": "reranker_evidence_exists", "counts_for_non_trivial_query": true, "truth_verified": true, "exact": false, "priority": 86, "mobile_priority": 2, "ui": { "icon": "Sparkles", "tone": "match", "href": null } }, { "schema_version": "inv382.match_signal.v1", "signal_id": "sig.query.description_excerpt.73abfd8b79267d761c", "query_id": "gq_99e1b305e21f24a9d00b", "job_id": "2cceea9cab05c07532656bfe2328c91b", "signal_type": "query_match", "display_text": "Description: \"flink\"", "tooltip": "Description contains \"flink\" from your search.", "source_binding": "token_match", "source_field": "description_excerpt", "source_value": "Senior Platform Engineer Bengaluru This is Adyen Adyen provides payments, data, and financial products in a single solution for customers like Meta, Uber, H&M, and Microsoft - making us the financial technology platform of choice. At Adyen, everything we do is engineered for ambition. For our teams, we create an environment with opportunities for our people to succeed, backed by the culture and support to ensure they are enabled to truly own their careers. We are motivated individuals who tackle unique technical challenges at scale and solve them as a team. Together, we deliver innovative and ethical solutions that help businesses achieve their ambitions faster. Senior Platform Engineer We are on the lookout for a Senior Platform Engineer to join our Platform Engineering organization. Our teams in this area are responsible for provisioning, running, and managing critical data systems like Apache Kafka, Apache Flink and ElasticSearch for all product teams, at massive scale. Within this role the candidate will primarily focus on one of these areas (ElasticSearch or Apache Kafka). As a Senior Platform Engineer your work will directly influence the resilience, performance, and developer experience of Adyen's core platform. A platform that was responsible for processing over a trillion euros worth of payments in 2025. What you'll do: - Design and implement : Build, maintain, and evolve the infrastructure and tooling that supports our core data platforms. - System reliability : Ensure the high availability, performance, and scalability of our Kafka, Flink and ElasticSearch platform - Troubleshoot and optimize", "matched_input": "flink", "derivation_source": "row_field", "candidate_evidence_id": null, "rerank_evidence_id": null, "taxonomy_alias_id": null, "oracle_verification_method": "row_field_contains", "counts_for_non_trivial_query": true, "truth_verified": true, "exact": true, "priority": 80, "mobile_priority": 2, "ui": { "icon": "SearchCheck", "tone": "match", "href": null } } ], "parental_leave_source_label": null, "k401_match_source_label": null, "k401_contribution_source_label": null, "apply_url_checked_at": null, "apply_url_verification_status": "not_reachable_or_not_checked", "apply_url_verification_label": "Not checked or not reachable at last crawl", "field_source_signals": { "equity_included": { "tier": "posting", "verified": true, "label": "From the posting", "source_label": "the posting", "href": "https://job-boards.greenhouse.io/adyen/jobs/7547055", "source_values": [ "derived:greenfield:inv_371_postfix" ], "checked_at": "2026-06-20T05:42:05.724Z" }, "seniority": { "tier": "posting", "verified": true, "label": "From the posting", "source_label": "the posting", "href": "https://job-boards.greenhouse.io/adyen/jobs/7547055", "source_values": [ "llm:greenfield:inv_371_postfix" ], "checked_at": "2026-06-20T05:42:05.724Z" }, "role_function": { "tier": "posting", "verified": true, "label": "From the posting", "source_label": "the posting", "href": "https://job-boards.greenhouse.io/adyen/jobs/7547055", "source_values": [ "llm:greenfield:inv_371_postfix" ], "checked_at": "2026-06-20T05:42:05.724Z" }, "company_stage": { "tier": "posting", "verified": true, "label": "From the posting", "source_label": "the posting", "href": "https://job-boards.greenhouse.io/adyen/jobs/7547055", "source_values": [ "llm:greenfield:inv_371_postfix" ], "checked_at": "2026-06-20T05:42:05.724Z" } } }, { "id": "2a733838040a929e048d3c8ab96d167d", "title": "Backend Engineer", "employer_name": "Grepr", "employer_slug": "grepr", "location_text": "San Francisco, California, USA", "country": "US", "employment_type": "unknown", "remote_status": "unspecified", "remote_status_source": null, "remote_status_enriched_at": null, "days_in_office": null, "timezone_overlap_hours": 6, "salary_min": null, "salary_max": null, "salary_min_source": null, "salary_max_source": null, "salary_currency": "USD", "salary_type": "unknown", "salary_type_source": null, "salary_type_enriched_at": null, "salary_period": null, "base_salary_min": null, "base_salary_max": null, "salary_disclosed": false, "equity_included": true, "equity_included_source": null, "equity_type": [ "options" ], "k401_match": null, "match_401k_pct": null, "match_401k_pct_source": null, "k401_match_source_url": null, "k401_match_source_fields": [], "k401_contribution_source_url": null, "k401_contribution_source_fields": [], "profit_sharing": false, "bonus_offered": false, "mental_health_support": null, "childcare_subsidy": null, "fertility_family_building_benefits": null, "adoption_assistance_offered": null, "surrogacy_assistance_offered": null, "student_loan_repayment_offered": null, "learning_budget_offered": null, "relocation_assistance": null, "top_startup_sources": [ "a16z" ], "posted_at": "2025-02-07T21:53:08.654Z", "apply_url": "https://jobs.ashbyhq.com/grepr/497853d2-83f4-4952-b890-9cab2e78c48b", "apply_url_verified": false, "ats": "ashby", "url_last_checked_alive": null, "removed_at": null, "description_excerpt": "Backend Engineer San Francisco, California, USA Backend Engineer San Francisco, CA Being a Backend Engineer at a company smaller than 10 people is special. You'll have a ton of autonomy, be expected to own and build a significant part of the product, and design the product's growth for the next set of engineers who will be joining us. You'll wear many hats: developer, designer, product owner, mentor, architect, support engineer, and sales engineer. Our engineers are strongly opinionated people who want to continuously improve the product they're working on, the team they're in, the company they're working at, and the world around them. Since our launch we've been getting a ton of positive feedback and pull from the market and now we're scaling the team to capture that momentum. We are well funded by investors like Andreessen Horowitz and Boldstart Capital. Our system is a real-time stream processing application built on top of Apache Flink, running on Kubernetes in AWS. The user-facing application's backend is a Java-based web application built on top of Dropwizard running on Kubernetes, that manages all the streaming pipelines on behalf of the user, translating their intents into complex streaming Flink pipelines, and delivering our awesome sauce. The role would be to own this backend, deliver clear and intuitive RESTful APIs and ensure their uptime and scalability. Experience with distributed systems, modern Java web applications and RESTful APIs for end users and front-end development are important . The ideal candidate cares deeply about the user experience", "parental_leave_weeks": null, "non_birth_parent_leave_weeks": null, "parental_leave_weeks_source": null, "non_birth_parent_leave_weeks_source": null, "parental_leave_source_url": null, "pto_days": null, "unlimited_pto": false, "sabbatical_eligible": false, "family_friendly_score": 43, "benefit_verified": false, "benefit_last_verified": null, "hire_states_allowed": [], "state_eligibility_source": null, "state_eligibility_enriched_at": null, "llm_quality_pass_at": null, "llm_signals_at": "2026-06-20T05:42:05.724Z", "llm_extraction_run_id": "postfix_final_004037", "llm_extraction_extracted_at": null, "llm_extraction_field_sources": { "seniority": { "field": "seniority", "source": "llm:greenfield:inv_371_postfix", "db_column": "seniority" }, "role_family": { "field": "role_family", "source": "llm:greenfield:inv_371_postfix", "db_column": "role_family" }, "salary_type": { "field": "salary_type", "source": "llm:greenfield:inv_371_postfix", "db_column": "salary_type" }, "company_stage": { "field": "company_stage", "source": "llm:greenfield:inv_371_postfix", "db_column": "company_stage" }, "customer_type": { "field": "customer_type", "source": "llm:greenfield:inv_371_postfix", "db_column": "customer_type" }, "role_function": { "field": "role_function", "source": "llm:greenfield:inv_371_postfix", "db_column": "role_function" }, "equity_offered": { "field": "equity_offered", "source": "llm:greenfield:inv_371_postfix", "db_column": "equity_offered" }, "equity_included": { "field": "equity_included", "source": "derived:greenfield:inv_371_postfix", "db_column": "equity_included" }, "visa_sponsorship": { "field": "visa_sponsorship", "source": "llm:greenfield:inv_371_postfix", "db_column": "visa_sponsorship" }, "education_required": { "field": "education_required", "source": "llm:greenfield:inv_371_postfix", "db_column": "education_required" } }, "seniority": "mid", "seniority_source": "llm:greenfield:inv_371_postfix", "years_experience_min": 3, "years_experience_max": 7, "role_function": "engineering", "role_function_source": "llm:greenfield:inv_371_postfix", "company_stage": "early", "company_stage_source": "llm:greenfield:inv_371_postfix", "employer_industry": null, "employer_industry_source": null, "employer_size": "51-200", "quality_score": 45, "travel_pct": null, "requires_shift": null, "shift_type": "unknown", "shift_type_source": null, "weekend_work": "unknown", "weekend_work_source": null, "relocation_assistance_source": null, "contractor_w2": "unknown", "required_timezone": null, "fertility_family_building_benefits_source": null, "mental_health_support_source": null, "adoption_assistance_offered_source": null, "childcare_subsidy_source": null, "learning_budget_offered_source": null, "surrogacy_assistance_offered_source": null, "cover_letter_required": null, "cover_letter_required_source": null, "assessment_required": null, "assessment_required_source": null, "application_deadline": null, "application_deadline_source": null, "visa_sponsorship": true, "us_citizenship_required": false, "security_clearance": "none", "education_required": "none", "roll_up_count": null, "roll_up_total_locations": null, "explanations": [ { "schema_version": "inv382.match_signal.v1", "signal_id": "sig.query.description_excerpt.2caca3e0bbfb74b437", "query_id": "gq_99e1b305e21f24a9d00b", "job_id": "2a733838040a929e048d3c8ab96d167d", "signal_type": "query_match", "display_text": "Description: \"flink\"", "tooltip": "Description matched \"flink\" from your search.", "source_binding": "bm25_field_evidence", "source_field": "description_excerpt", "source_value": "Backend Engineer San Francisco, California, USA Backend Engineer San Francisco, CA Being a Backend Engineer at a company smaller than 10 people is special. You'll have a ton of autonomy, be expected to own and build a significant part of the product, and design the product's growth for the next set of engineers who will be joining us. You'll wear many hats: developer, designer, product owner, mentor, architect, support engineer, and sales engineer. Our engineers are strongly opinionated people who want to continuously improve the product they're working on, the team they're in, the company they're working at, and the world around them. Since our launch we've been getting a ton of positive feedback and pull from the market and now we're scaling the team to capture that momentum. We are well funded by investors like Andreessen Horowitz and Boldstart Capital. Our system is a real-time stream processing application built on top of Apache Flink, running on Kubernetes in AWS. The user-facing application's backend is a Java-based web application built on top of Dropwizard running on Kubernetes, that manages all the streaming pipelines on behalf of the user, translating their intents into complex streaming Flink pipelines, and delivering our awesome sauce. The role would be to own this backend, deliver clear and intuitive RESTful APIs and ensure their uptime and scalability. Experience with distributed systems, modern Java web applications and RESTful APIs for end users and front-end development are important . The ideal candidate cares deeply about the user experience", "matched_input": "flink", "derivation_source": "candidate_result.raw_match_evidence", "candidate_evidence_id": "ev:gq_99e1b305e21f24a9d00b:2a733838040a929e048d3c8ab96d167d:description:flink", "rerank_evidence_id": null, "taxonomy_alias_id": null, "oracle_verification_method": "candidate_evidence_exists", "counts_for_non_trivial_query": true, "truth_verified": true, "exact": true, "priority": 90, "mobile_priority": 1, "ui": { "icon": "Search", "tone": "match", "href": null } }, { "schema_version": "inv382.match_signal.v1", "signal_id": "sig.semantic.description_excerpt.3f23c6bd804a0c373e", "query_id": "gq_99e1b305e21f24a9d00b", "job_id": "2a733838040a929e048d3c8ab96d167d", "signal_type": "query_match", "display_text": "Description: semantic match", "tooltip": "Description provided semantic evidence for your search intent.", "source_binding": "reranker_semantic_evidence", "source_field": "description_excerpt", "source_value": "Backend Engineer San Francisco, California, USA Backend Engineer San Francisco, CA Being a Backend Engineer at a company smaller than 10 people is special. You'll have a ton of autonomy, be expected to own and build a significant part of the product, and design the product's growth for the next set of engineers who will be joining us. You'll wear many hats: developer, designer, product owner, mentor, architect, support engineer, and sales engineer. Our engineers are strongly opinionated people who want to continuously improve the product they're working on, the team they're in, the company they're working at, and the world around them. Since our launch we've been getting a ton of positive feedback and pull from the market and now we're scaling the team to capture that momentum. We are well funded by investors like Andreessen Horowitz and Boldstart Capital. Our system is a real-time stream processing application built on top of Apache Flink, running on Kubernetes in AWS. The user-facing application's backend is a Java-based web application built on top of Dropwizard running on Kubernetes, that manages all the streaming pipelines on behalf of the user, translating their intents into complex streaming Flink pipelines, and delivering our awesome sauce. The role would be to own this backend, deliver clear and intuitive RESTful APIs and ensure their uptime and scalability. Experience with distributed systems, modern Java web applications and RESTful APIs for end users and front-end development are important . The ideal candidate cares deeply about the user experience", "matched_input": "flink", "derivation_source": "rerank_result.semantic_evidence", "candidate_evidence_id": null, "rerank_evidence_id": "rerank:1070fae3acd763382d0fa9e7", "taxonomy_alias_id": null, "oracle_verification_method": "reranker_evidence_exists", "counts_for_non_trivial_query": true, "truth_verified": true, "exact": false, "priority": 86, "mobile_priority": 2, "ui": { "icon": "Sparkles", "tone": "match", "href": null } }, { "schema_version": "inv382.match_signal.v1", "signal_id": "sig.query.description_excerpt.46e225eb58589ec743", "query_id": "gq_99e1b305e21f24a9d00b", "job_id": "2a733838040a929e048d3c8ab96d167d", "signal_type": "query_match", "display_text": "Description: \"flink\"", "tooltip": "Description contains \"flink\" from your search.", "source_binding": "token_match", "source_field": "description_excerpt", "source_value": "Backend Engineer San Francisco, California, USA Backend Engineer San Francisco, CA Being a Backend Engineer at a company smaller than 10 people is special. You'll have a ton of autonomy, be expected to own and build a significant part of the product, and design the product's growth for the next set of engineers who will be joining us. You'll wear many hats: developer, designer, product owner, mentor, architect, support engineer, and sales engineer. Our engineers are strongly opinionated people who want to continuously improve the product they're working on, the team they're in, the company they're working at, and the world around them. Since our launch we've been getting a ton of positive feedback and pull from the market and now we're scaling the team to capture that momentum. We are well funded by investors like Andreessen Horowitz and Boldstart Capital. Our system is a real-time stream processing application built on top of Apache Flink, running on Kubernetes in AWS. The user-facing application's backend is a Java-based web application built on top of Dropwizard running on Kubernetes, that manages all the streaming pipelines on behalf of the user, translating their intents into complex streaming Flink pipelines, and delivering our awesome sauce. The role would be to own this backend, deliver clear and intuitive RESTful APIs and ensure their uptime and scalability. Experience with distributed systems, modern Java web applications and RESTful APIs for end users and front-end development are important . The ideal candidate cares deeply about the user experience", "matched_input": "flink", "derivation_source": "row_field", "candidate_evidence_id": null, "rerank_evidence_id": null, "taxonomy_alias_id": null, "oracle_verification_method": "row_field_contains", "counts_for_non_trivial_query": true, "truth_verified": true, "exact": true, "priority": 80, "mobile_priority": 2, "ui": { "icon": "SearchCheck", "tone": "match", "href": null } } ], "parental_leave_source_label": null, "k401_match_source_label": null, "k401_contribution_source_label": null, "apply_url_checked_at": null, "apply_url_verification_status": "not_reachable_or_not_checked", "apply_url_verification_label": "Not checked or not reachable at last crawl", "field_source_signals": { "equity_included": { "tier": "posting", "verified": true, "label": "From the posting", "source_label": "the posting", "href": "https://jobs.ashbyhq.com/grepr/497853d2-83f4-4952-b890-9cab2e78c48b", "source_values": [ "derived:greenfield:inv_371_postfix" ], "checked_at": "2026-06-20T05:42:05.724Z" }, "seniority": { "tier": "posting", "verified": true, "label": "From the posting", "source_label": "the posting", "href": "https://jobs.ashbyhq.com/grepr/497853d2-83f4-4952-b890-9cab2e78c48b", "source_values": [ "llm:greenfield:inv_371_postfix" ], "checked_at": "2026-06-20T05:42:05.724Z" }, "role_function": { "tier": "posting", "verified": true, "label": "From the posting", "source_label": "the posting", "href": "https://jobs.ashbyhq.com/grepr/497853d2-83f4-4952-b890-9cab2e78c48b", "source_values": [ "llm:greenfield:inv_371_postfix" ], "checked_at": "2026-06-20T05:42:05.724Z" }, "company_stage": { "tier": "posting", "verified": true, "label": "From the posting", "source_label": "the posting", "href": "https://jobs.ashbyhq.com/grepr/497853d2-83f4-4952-b890-9cab2e78c48b", "source_values": [ "llm:greenfield:inv_371_postfix" ], "checked_at": "2026-06-20T05:42:05.724Z" } } }, { "id": "21f422bd0b5469dc0bca98838c9b3e4a", "title": "Staff Software Developer", "employer_name": "Confluent", "employer_slug": "confluent", "location_text": "DE Remote Germany", "country": "DE", "employment_type": "unknown", "remote_status": "remote", "remote_status_source": null, "remote_status_enriched_at": null, "days_in_office": 0, "timezone_overlap_hours": 3, "salary_min": null, "salary_max": null, "salary_min_source": null, "salary_max_source": null, "salary_currency": "UNSPECIFIED", "salary_type": "unknown", "salary_type_source": null, "salary_type_enriched_at": null, "salary_period": null, "base_salary_min": null, "base_salary_max": null, "salary_disclosed": false, "equity_included": false, "equity_included_source": null, "equity_type": [ "none" ], "k401_match": "yes", "match_401k_pct": null, "match_401k_pct_source": null, "k401_match_source_url": null, "k401_match_source_fields": [ "EMPLR_CONTRIB_INCOME_AMT" ], "k401_contribution_source_url": null, "k401_contribution_source_fields": [ "EMPLR_CONTRIB_INCOME_AMT" ], "profit_sharing": false, "bonus_offered": false, "mental_health_support": null, "childcare_subsidy": null, "fertility_family_building_benefits": null, "adoption_assistance_offered": null, "surrogacy_assistance_offered": null, "student_loan_repayment_offered": null, "learning_budget_offered": null, "relocation_assistance": null, "top_startup_sources": [], "posted_at": "2026-06-10T03:52:15.000Z", "apply_url": "https://jobs.ashbyhq.com/confluent/ff2464db-7d56-401c-97b0-eda62adb05ea", "apply_url_verified": false, "ats": "ashby", "url_last_checked_alive": null, "removed_at": null, "description_excerpt": "Staff Software Developer DE Remote Germany We're not just building better tech. We're rewriting how data moves and what the world can do with it. With Confluent, data doesn't sit still. Our platform puts information in motion, streaming in near real-time so companies can react faster, build smarter, and deliver experiences as dynamic as the world around them. It takes a certain kind of person to join this team. Those who ask hard questions, give honest feedback, and show up for each other. No egos, no solo acts. Just smart, curious humans pushing toward something bigger, together. One Confluent. One Team. One Data Streaming Platform. ABOUT THE ROLE: The Stream Processing & Analytics (SPA) team is building an elastic, reliable, durable, cost-effective, and performant stream processing engine based on Apache Flink for Confluent Cloud. This role is critical in defining and executing the long-term vision around a scalable, efficient, resilient and true cloud native data stream processor, including initiatives enabling autoscaling and limitless state management, ensuring a zero-knob and worry-free experience for our users and customers by providing the right amount of stream processing at any given point in time, allowing customers to focus on building their use case without managing infrastructure complexities. WHAT YOU WILL DO: - Architect and Drive Technical Strategy: Own the architecture and technical strategy for a complex engineering system (e.g., a core component of scheduling, deployment, autoscaling, or state management) within the Flink engine. - Contribute to the broader technical vision and translate it into", "parental_leave_weeks": null, "non_birth_parent_leave_weeks": null, "parental_leave_weeks_source": null, "non_birth_parent_leave_weeks_source": null, "parental_leave_source_url": null, "pto_days": null, "unlimited_pto": false, "sabbatical_eligible": false, "family_friendly_score": 48, "benefit_verified": true, "benefit_last_verified": "2026-06-07T00:00:00Z", "hire_states_allowed": [], "state_eligibility_source": null, "state_eligibility_enriched_at": null, "llm_quality_pass_at": null, "llm_signals_at": "2026-06-20T05:42:05.724Z", "llm_extraction_run_id": "postfix_final_004037", "llm_extraction_extracted_at": null, "llm_extraction_field_sources": { "seniority": { "field": "seniority", "source": "llm:greenfield:inv_371_postfix", "db_column": "seniority" }, "years_min": { "field": "years_min", "source": "llm:greenfield:inv_371_postfix", "db_column": "years_experience_min" }, "k401_match": { "source": "dol_form_5500", "source_url": null, "source_fields": [ "EMPLR_CONTRIB_INCOME_AMT" ], "source_label": "DOL Form 5500 filing" }, "tech_stack": { "field": "tech_stack", "source": "llm:greenfield:inv_371_postfix", "db_column": "tech_stack" }, "role_family": { "field": "role_family", "source": "llm:greenfield:inv_371_postfix", "db_column": "role_family" }, "salary_type": { "field": "salary_type", "source": "llm:greenfield:inv_371_postfix", "db_column": "salary_type" }, "company_stage": { "field": "company_stage", "source": "llm:greenfield:inv_371_postfix", "db_column": "company_stage" }, "customer_type": { "field": "customer_type", "source": "llm:greenfield:inv_371_postfix", "db_column": "customer_type" }, "remote_status": { "field": "remote_status", "source": "rule:remote_status", "db_column": "remote_status" }, "role_function": { "field": "role_function", "source": "llm:greenfield:inv_371_postfix", "db_column": "role_function" }, "days_in_office": { "field": "days_in_office", "source": "rule:remote_status", "db_column": "days_in_office" }, "visa_sponsorship": { "field": "visa_sponsorship", "source": "llm:greenfield:inv_371_postfix", "db_column": "visa_sponsorship" }, "education_required": { "field": "education_required", "source": "llm:greenfield:inv_371_postfix", "db_column": "education_required" } }, "seniority": "staff_plus", "seniority_source": "llm:greenfield:inv_371_postfix", "years_experience_min": 8, "years_experience_max": 12, "role_function": "engineering", "role_function_source": "llm:greenfield:inv_371_postfix", "company_stage": "public-company", "company_stage_source": "llm:greenfield:inv_371_postfix", "employer_industry": null, "employer_industry_source": null, "employer_size": null, "quality_score": 45, "travel_pct": null, "requires_shift": null, "shift_type": "unknown", "shift_type_source": null, "weekend_work": "unknown", "weekend_work_source": null, "relocation_assistance_source": null, "contractor_w2": "unknown", "required_timezone": null, "fertility_family_building_benefits_source": null, "mental_health_support_source": null, "adoption_assistance_offered_source": null, "childcare_subsidy_source": null, "learning_budget_offered_source": null, "surrogacy_assistance_offered_source": null, "cover_letter_required": null, "cover_letter_required_source": null, "assessment_required": null, "assessment_required_source": null, "application_deadline": null, "application_deadline_source": null, "visa_sponsorship": true, "us_citizenship_required": false, "security_clearance": "none", "education_required": "none", "roll_up_count": null, "roll_up_total_locations": null, "explanations": [ { "schema_version": "inv382.match_signal.v1", "signal_id": "sig.query.description_excerpt.31bb6610aa074913c3", "query_id": "gq_99e1b305e21f24a9d00b", "job_id": "21f422bd0b5469dc0bca98838c9b3e4a", "signal_type": "query_match", "display_text": "Description: \"flink\"", "tooltip": "Description matched \"flink\" from your search.", "source_binding": "bm25_field_evidence", "source_field": "description_excerpt", "source_value": "Staff Software Developer DE Remote Germany We're not just building better tech. We're rewriting how data moves and what the world can do with it. With Confluent, data doesn't sit still. Our platform puts information in motion, streaming in near real-time so companies can react faster, build smarter, and deliver experiences as dynamic as the world around them. It takes a certain kind of person to join this team. Those who ask hard questions, give honest feedback, and show up for each other. No egos, no solo acts. Just smart, curious humans pushing toward something bigger, together. One Confluent. One Team. One Data Streaming Platform. ABOUT THE ROLE: The Stream Processing & Analytics (SPA) team is building an elastic, reliable, durable, cost-effective, and performant stream processing engine based on Apache Flink for Confluent Cloud. This role is critical in defining and executing the long-term vision around a scalable, efficient, resilient and true cloud native data stream processor, including initiatives enabling autoscaling and limitless state management, ensuring a zero-knob and worry-free experience for our users and customers by providing the right amount of stream processing at any given point in time, allowing customers to focus on building their use case without managing infrastructure complexities. WHAT YOU WILL DO: - Architect and Drive Technical Strategy: Own the architecture and technical strategy for a complex engineering system (e.g., a core component of scheduling, deployment, autoscaling, or state management) within the Flink engine. - Contribute to the broader technical vision and translate it into", "matched_input": "flink", "derivation_source": "candidate_result.raw_match_evidence", "candidate_evidence_id": "ev:gq_99e1b305e21f24a9d00b:21f422bd0b5469dc0bca98838c9b3e4a:description:flink", "rerank_evidence_id": null, "taxonomy_alias_id": null, "oracle_verification_method": "candidate_evidence_exists", "counts_for_non_trivial_query": true, "truth_verified": true, "exact": true, "priority": 90, "mobile_priority": 1, "ui": { "icon": "Search", "tone": "match", "href": null } }, { "schema_version": "inv382.match_signal.v1", "signal_id": "sig.semantic.description_excerpt.1d249f3dd047e3a364", "query_id": "gq_99e1b305e21f24a9d00b", "job_id": "21f422bd0b5469dc0bca98838c9b3e4a", "signal_type": "query_match", "display_text": "Description: semantic match", "tooltip": "Description provided semantic evidence for your search intent.", "source_binding": "reranker_semantic_evidence", "source_field": "description_excerpt", "source_value": "Staff Software Developer DE Remote Germany We're not just building better tech. We're rewriting how data moves and what the world can do with it. With Confluent, data doesn't sit still. Our platform puts information in motion, streaming in near real-time so companies can react faster, build smarter, and deliver experiences as dynamic as the world around them. It takes a certain kind of person to join this team. Those who ask hard questions, give honest feedback, and show up for each other. No egos, no solo acts. Just smart, curious humans pushing toward something bigger, together. One Confluent. One Team. One Data Streaming Platform. ABOUT THE ROLE: The Stream Processing & Analytics (SPA) team is building an elastic, reliable, durable, cost-effective, and performant stream processing engine based on Apache Flink for Confluent Cloud. This role is critical in defining and executing the long-term vision around a scalable, efficient, resilient and true cloud native data stream processor, including initiatives enabling autoscaling and limitless state management, ensuring a zero-knob and worry-free experience for our users and customers by providing the right amount of stream processing at any given point in time, allowing customers to focus on building their use case without managing infrastructure complexities. WHAT YOU WILL DO: - Architect and Drive Technical Strategy: Own the architecture and technical strategy for a complex engineering system (e.g., a core component of scheduling, deployment, autoscaling, or state management) within the Flink engine. - Contribute to the broader technical vision and translate it into", "matched_input": "flink", "derivation_source": "rerank_result.semantic_evidence", "candidate_evidence_id": null, "rerank_evidence_id": "rerank:2025b19afaea5ce40b6e180e", "taxonomy_alias_id": null, "oracle_verification_method": "reranker_evidence_exists", "counts_for_non_trivial_query": true, "truth_verified": true, "exact": false, "priority": 86, "mobile_priority": 2, "ui": { "icon": "Sparkles", "tone": "match", "href": null } }, { "schema_version": "inv382.match_signal.v1", "signal_id": "sig.query.description_excerpt.9e91906d3c31ff6466", "query_id": "gq_99e1b305e21f24a9d00b", "job_id": "21f422bd0b5469dc0bca98838c9b3e4a", "signal_type": "query_match", "display_text": "Description: \"flink\"", "tooltip": "Description contains \"flink\" from your search.", "source_binding": "token_match", "source_field": "description_excerpt", "source_value": "Staff Software Developer DE Remote Germany We're not just building better tech. We're rewriting how data moves and what the world can do with it. With Confluent, data doesn't sit still. Our platform puts information in motion, streaming in near real-time so companies can react faster, build smarter, and deliver experiences as dynamic as the world around them. It takes a certain kind of person to join this team. Those who ask hard questions, give honest feedback, and show up for each other. No egos, no solo acts. Just smart, curious humans pushing toward something bigger, together. One Confluent. One Team. One Data Streaming Platform. ABOUT THE ROLE: The Stream Processing & Analytics (SPA) team is building an elastic, reliable, durable, cost-effective, and performant stream processing engine based on Apache Flink for Confluent Cloud. This role is critical in defining and executing the long-term vision around a scalable, efficient, resilient and true cloud native data stream processor, including initiatives enabling autoscaling and limitless state management, ensuring a zero-knob and worry-free experience for our users and customers by providing the right amount of stream processing at any given point in time, allowing customers to focus on building their use case without managing infrastructure complexities. WHAT YOU WILL DO: - Architect and Drive Technical Strategy: Own the architecture and technical strategy for a complex engineering system (e.g., a core component of scheduling, deployment, autoscaling, or state management) within the Flink engine. - Contribute to the broader technical vision and translate it into", "matched_input": "flink", "derivation_source": "row_field", "candidate_evidence_id": null, "rerank_evidence_id": null, "taxonomy_alias_id": null, "oracle_verification_method": "row_field_contains", "counts_for_non_trivial_query": true, "truth_verified": true, "exact": true, "priority": 80, "mobile_priority": 2, "ui": { "icon": "SearchCheck", "tone": "match", "href": null } }, { "schema_version": "inv382.match_signal.v1", "signal_id": "sig.semantic.role_function.a2973f351da0af27f6", "query_id": "gq_99e1b305e21f24a9d00b", "job_id": "21f422bd0b5469dc0bca98838c9b3e4a", "signal_type": "query_match", "display_text": "Role: semantic match", "tooltip": "Role provided semantic evidence for your search intent.", "source_binding": "vector_semantic_evidence", "source_field": "role_function", "source_value": "engineering", "matched_input": "flink", "derivation_source": "candidate_result.raw_match_evidence", "candidate_evidence_id": "ev:gq_99e1b305e21f24a9d00b:21f422bd0b5469dc0bca98838c9b3e4a:vector", "rerank_evidence_id": null, "taxonomy_alias_id": null, "oracle_verification_method": "candidate_evidence_exists", "counts_for_non_trivial_query": true, "truth_verified": true, "exact": false, "priority": 74, "mobile_priority": 2, "ui": { "icon": "Sparkles", "tone": "match", "href": null } } ], "source_label": "DOL Form 5500 filing", "parental_leave_source_label": null, "k401_match_source_label": "DOL Form 5500 filing", "k401_contribution_source_label": "DOL Form 5500 filing", "apply_url_checked_at": null, "apply_url_verification_status": "not_reachable_or_not_checked", "apply_url_verification_label": "Not checked or not reachable at last crawl", "field_source_signals": { "remote_status": { "tier": "posting", "verified": true, "label": "From the posting", "source_label": "the posting", "href": "https://jobs.ashbyhq.com/confluent/ff2464db-7d56-401c-97b0-eda62adb05ea", "source_values": [ "rule:remote_status" ], "checked_at": "2026-06-20T05:42:05.724Z" }, "equity_included": { "tier": "inferred", "verified": false, "label": "Inferred - source not recorded", "source_label": "source not recorded", "href": null, "source_values": [], "checked_at": "2026-06-20T05:42:05.724Z" }, "k401_match": { "tier": "government", "verified": true, "label": "Verified - DOL Form 5500", "source_label": "DOL Form 5500", "href": null, "source_values": [ "dol_form_5500", "EMPLR_CONTRIB_INCOME_AMT" ], "checked_at": "2026-06-07T00:00:00Z" }, "seniority": { "tier": "posting", "verified": true, "label": "From the posting", "source_label": "the posting", "href": "https://jobs.ashbyhq.com/confluent/ff2464db-7d56-401c-97b0-eda62adb05ea", "source_values": [ "llm:greenfield:inv_371_postfix" ], "checked_at": "2026-06-20T05:42:05.724Z" }, "role_function": { "tier": "posting", "verified": true, "label": "From the posting", "source_label": "the posting", "href": "https://jobs.ashbyhq.com/confluent/ff2464db-7d56-401c-97b0-eda62adb05ea", "source_values": [ "llm:greenfield:inv_371_postfix" ], "checked_at": "2026-06-20T05:42:05.724Z" }, "company_stage": { "tier": "posting", "verified": true, "label": "From the posting", "source_label": "the posting", "href": "https://jobs.ashbyhq.com/confluent/ff2464db-7d56-401c-97b0-eda62adb05ea", "source_values": [ "llm:greenfield:inv_371_postfix" ], "checked_at": "2026-06-20T05:42:05.724Z" } } }, { "id": "aff87d2b22c632e0b9efb9cecd52d6dd", "title": "Pincipal, Product Manager", "employer_name": "Confluent", "employer_slug": "confluent", "location_text": "Remote, United States | Remote", "country": "US", "employment_type": "unknown", "remote_status": "remote", "remote_status_source": null, "remote_status_enriched_at": null, "days_in_office": 0, "timezone_overlap_hours": 6, "salary_min": null, "salary_max": null, "salary_min_source": null, "salary_max_source": null, "salary_currency": "USD", "salary_type": "unknown", "salary_type_source": null, "salary_type_enriched_at": null, "salary_period": null, "base_salary_min": null, "base_salary_max": null, "salary_disclosed": false, "equity_included": false, "equity_included_source": null, "equity_type": [ "none" ], "k401_match": "yes", "match_401k_pct": null, "match_401k_pct_source": null, "k401_match_source_url": null, "k401_match_source_fields": [ "EMPLR_CONTRIB_INCOME_AMT" ], "k401_contribution_source_url": null, "k401_contribution_source_fields": [ "EMPLR_CONTRIB_INCOME_AMT" ], "profit_sharing": false, "bonus_offered": false, "mental_health_support": null, "childcare_subsidy": null, "fertility_family_building_benefits": null, "adoption_assistance_offered": null, "surrogacy_assistance_offered": null, "student_loan_repayment_offered": null, "learning_budget_offered": null, "relocation_assistance": null, "top_startup_sources": [], "posted_at": "2026-06-10T03:52:15.000Z", "apply_url": "https://jobs.ashbyhq.com/confluent/f7356433-e9cd-437b-9048-587b11333bb1", "apply_url_verified": false, "ats": "ashby", "url_last_checked_alive": null, "removed_at": null, "description_excerpt": "Pincipal, Product Manager Remote, United States | Remote We're not just building better tech. We're rewriting how data moves and what the world can do with it. With Confluent, data doesn't sit still. Our platform puts information in motion, streaming in near real-time so companies can react faster, build smarter, and deliver experiences as dynamic as the world around them. It takes a certain kind of person to join this team. Those who ask hard questions, give honest feedback, and show up for each other. No egos, no solo acts. Just smart, curious humans pushing toward something bigger, together. One Confluent. One Team. One Data Streaming Platform. ABOUT THE ROLE: This Principal Product Manager role is a high-leverage Individual Contributor position responsible for the complete product strategy and execution for Apache Flink across Confluent Cloud and Platform. This is an ambiguous and technical domain that requires a seasoned leader who can build durable platform capabilities, translate complex systems into clear strategy, and operate independently. WHAT YOU WILL DO: - Define and drive the multi-year product strategy and roadmap for Apache Flink across cloud and on-prem products. - Establish structured processes to align product, engineering, GTM, and executive stakeholders. - Identify high-leverage, 0-to-1 product opportunities for Flink and in adjacent areas like AI, data engineering, data warehousing, and event-driven applications. - Define how Confluent Flink offerings will work across Confluent and IBM product portfolio. WHAT YOU WILL BRING: - Proven ability to own and deliver product strategy for complex cloud data", "parental_leave_weeks": null, "non_birth_parent_leave_weeks": null, "parental_leave_weeks_source": null, "non_birth_parent_leave_weeks_source": null, "parental_leave_source_url": null, "pto_days": null, "unlimited_pto": false, "sabbatical_eligible": false, "family_friendly_score": 48, "benefit_verified": true, "benefit_last_verified": "2026-06-07T00:00:00Z", "hire_states_allowed": [], "state_eligibility_source": null, "state_eligibility_enriched_at": null, "llm_quality_pass_at": null, "llm_signals_at": "2026-06-20T05:42:05.724Z", "llm_extraction_run_id": "postfix_final_004037", "llm_extraction_extracted_at": null, "llm_extraction_field_sources": { "seniority": { "field": "seniority", "source": "llm:greenfield:inv_371_postfix", "db_column": "seniority" }, "k401_match": { "source": "dol_form_5500", "source_url": null, "source_fields": [ "EMPLR_CONTRIB_INCOME_AMT" ], "source_label": "DOL Form 5500 filing" }, "tech_stack": { "field": "tech_stack", "source": "llm:greenfield:inv_371_postfix", "db_column": "tech_stack" }, "role_family": { "field": "role_family", "source": "llm:greenfield:inv_371_postfix", "db_column": "role_family" }, "salary_type": { "field": "salary_type", "source": "llm:greenfield:inv_371_postfix", "db_column": "salary_type" }, "company_stage": { "field": "company_stage", "source": "llm:greenfield:inv_371_postfix", "db_column": "company_stage" }, "customer_type": { "field": "customer_type", "source": "llm:greenfield:inv_371_postfix", "db_column": "customer_type" }, "remote_status": { "field": "remote_status", "source": "rule:remote_status", "db_column": "remote_status" }, "role_function": { "field": "role_function", "source": "llm:greenfield:inv_371_postfix", "db_column": "role_function" }, "days_in_office": { "field": "days_in_office", "source": "rule:remote_status", "db_column": "days_in_office" }, "visa_sponsorship": { "field": "visa_sponsorship", "source": "llm:greenfield:inv_371_postfix", "db_column": "visa_sponsorship" }, "education_required": { "field": "education_required", "source": "llm:greenfield:inv_371_postfix", "db_column": "education_required" } }, "seniority": "principal", "seniority_source": "llm:greenfield:inv_371_postfix", "years_experience_min": 5, "years_experience_max": 9, "role_function": "product", "role_function_source": "llm:greenfield:inv_371_postfix", "company_stage": "public-company", "company_stage_source": "llm:greenfield:inv_371_postfix", "employer_industry": null, "employer_industry_source": null, "employer_size": null, "quality_score": 45, "travel_pct": null, "requires_shift": null, "shift_type": "unknown", "shift_type_source": null, "weekend_work": "unknown", "weekend_work_source": null, "relocation_assistance_source": null, "contractor_w2": "unknown", "required_timezone": null, "fertility_family_building_benefits_source": null, "mental_health_support_source": null, "adoption_assistance_offered_source": null, "childcare_subsidy_source": null, "learning_budget_offered_source": null, "surrogacy_assistance_offered_source": null, "cover_letter_required": null, "cover_letter_required_source": null, "assessment_required": null, "assessment_required_source": null, "application_deadline": null, "application_deadline_source": null, "visa_sponsorship": true, "us_citizenship_required": false, "security_clearance": "none", "education_required": "none", "roll_up_count": null, "roll_up_total_locations": null, "explanations": [ { "schema_version": "inv382.match_signal.v1", "signal_id": "sig.query.description_excerpt.b474c985b4f2b5d6c9", "query_id": "gq_99e1b305e21f24a9d00b", "job_id": "aff87d2b22c632e0b9efb9cecd52d6dd", "signal_type": "query_match", "display_text": "Description: \"flink\"", "tooltip": "Description matched \"flink\" from your search.", "source_binding": "bm25_field_evidence", "source_field": "description_excerpt", "source_value": "Pincipal, Product Manager Remote, United States | Remote We're not just building better tech. We're rewriting how data moves and what the world can do with it. With Confluent, data doesn't sit still. Our platform puts information in motion, streaming in near real-time so companies can react faster, build smarter, and deliver experiences as dynamic as the world around them. It takes a certain kind of person to join this team. Those who ask hard questions, give honest feedback, and show up for each other. No egos, no solo acts. Just smart, curious humans pushing toward something bigger, together. One Confluent. One Team. One Data Streaming Platform. ABOUT THE ROLE: This Principal Product Manager role is a high-leverage Individual Contributor position responsible for the complete product strategy and execution for Apache Flink across Confluent Cloud and Platform. This is an ambiguous and technical domain that requires a seasoned leader who can build durable platform capabilities, translate complex systems into clear strategy, and operate independently. WHAT YOU WILL DO: - Define and drive the multi-year product strategy and roadmap for Apache Flink across cloud and on-prem products. - Establish structured processes to align product, engineering, GTM, and executive stakeholders. - Identify high-leverage, 0-to-1 product opportunities for Flink and in adjacent areas like AI, data engineering, data warehousing, and event-driven applications. - Define how Confluent Flink offerings will work across Confluent and IBM product portfolio. WHAT YOU WILL BRING: - Proven ability to own and deliver product strategy for complex cloud data", "matched_input": "flink", "derivation_source": "candidate_result.raw_match_evidence", "candidate_evidence_id": "ev:gq_99e1b305e21f24a9d00b:aff87d2b22c632e0b9efb9cecd52d6dd:description:flink", "rerank_evidence_id": null, "taxonomy_alias_id": null, "oracle_verification_method": "candidate_evidence_exists", "counts_for_non_trivial_query": true, "truth_verified": true, "exact": true, "priority": 90, "mobile_priority": 1, "ui": { "icon": "Search", "tone": "match", "href": null } }, { "schema_version": "inv382.match_signal.v1", "signal_id": "sig.semantic.description_excerpt.8c47674181906a57fc", "query_id": "gq_99e1b305e21f24a9d00b", "job_id": "aff87d2b22c632e0b9efb9cecd52d6dd", "signal_type": "query_match", "display_text": "Description: semantic match", "tooltip": "Description provided semantic evidence for your search intent.", "source_binding": "reranker_semantic_evidence", "source_field": "description_excerpt", "source_value": "Pincipal, Product Manager Remote, United States | Remote We're not just building better tech. We're rewriting how data moves and what the world can do with it. With Confluent, data doesn't sit still. Our platform puts information in motion, streaming in near real-time so companies can react faster, build smarter, and deliver experiences as dynamic as the world around them. It takes a certain kind of person to join this team. Those who ask hard questions, give honest feedback, and show up for each other. No egos, no solo acts. Just smart, curious humans pushing toward something bigger, together. One Confluent. One Team. One Data Streaming Platform. ABOUT THE ROLE: This Principal Product Manager role is a high-leverage Individual Contributor position responsible for the complete product strategy and execution for Apache Flink across Confluent Cloud and Platform. This is an ambiguous and technical domain that requires a seasoned leader who can build durable platform capabilities, translate complex systems into clear strategy, and operate independently. WHAT YOU WILL DO: - Define and drive the multi-year product strategy and roadmap for Apache Flink across cloud and on-prem products. - Establish structured processes to align product, engineering, GTM, and executive stakeholders. - Identify high-leverage, 0-to-1 product opportunities for Flink and in adjacent areas like AI, data engineering, data warehousing, and event-driven applications. - Define how Confluent Flink offerings will work across Confluent and IBM product portfolio. WHAT YOU WILL BRING: - Proven ability to own and deliver product strategy for complex cloud data", "matched_input": "flink", "derivation_source": "rerank_result.semantic_evidence", "candidate_evidence_id": null, "rerank_evidence_id": "rerank:3e1b8a735d8305a0ce17d68d", "taxonomy_alias_id": null, "oracle_verification_method": "reranker_evidence_exists", "counts_for_non_trivial_query": true, "truth_verified": true, "exact": false, "priority": 86, "mobile_priority": 2, "ui": { "icon": "Sparkles", "tone": "match", "href": null } }, { "schema_version": "inv382.match_signal.v1", "signal_id": "sig.query.description_excerpt.501670671a71586b72", "query_id": "gq_99e1b305e21f24a9d00b", "job_id": "aff87d2b22c632e0b9efb9cecd52d6dd", "signal_type": "query_match", "display_text": "Description: \"flink\"", "tooltip": "Description contains \"flink\" from your search.", "source_binding": "token_match", "source_field": "description_excerpt", "source_value": "Pincipal, Product Manager Remote, United States | Remote We're not just building better tech. We're rewriting how data moves and what the world can do with it. With Confluent, data doesn't sit still. Our platform puts information in motion, streaming in near real-time so companies can react faster, build smarter, and deliver experiences as dynamic as the world around them. It takes a certain kind of person to join this team. Those who ask hard questions, give honest feedback, and show up for each other. No egos, no solo acts. Just smart, curious humans pushing toward something bigger, together. One Confluent. One Team. One Data Streaming Platform. ABOUT THE ROLE: This Principal Product Manager role is a high-leverage Individual Contributor position responsible for the complete product strategy and execution for Apache Flink across Confluent Cloud and Platform. This is an ambiguous and technical domain that requires a seasoned leader who can build durable platform capabilities, translate complex systems into clear strategy, and operate independently. WHAT YOU WILL DO: - Define and drive the multi-year product strategy and roadmap for Apache Flink across cloud and on-prem products. - Establish structured processes to align product, engineering, GTM, and executive stakeholders. - Identify high-leverage, 0-to-1 product opportunities for Flink and in adjacent areas like AI, data engineering, data warehousing, and event-driven applications. - Define how Confluent Flink offerings will work across Confluent and IBM product portfolio. WHAT YOU WILL BRING: - Proven ability to own and deliver product strategy for complex cloud data", "matched_input": "flink", "derivation_source": "row_field", "candidate_evidence_id": null, "rerank_evidence_id": null, "taxonomy_alias_id": null, "oracle_verification_method": "row_field_contains", "counts_for_non_trivial_query": true, "truth_verified": true, "exact": true, "priority": 80, "mobile_priority": 2, "ui": { "icon": "SearchCheck", "tone": "match", "href": null } }, { "schema_version": "inv382.match_signal.v1", "signal_id": "sig.semantic.role_function.373be65f2cf649539b", "query_id": "gq_99e1b305e21f24a9d00b", "job_id": "aff87d2b22c632e0b9efb9cecd52d6dd", "signal_type": "query_match", "display_text": "Role: semantic match", "tooltip": "Role provided semantic evidence for your search intent.", "source_binding": "vector_semantic_evidence", "source_field": "role_function", "source_value": "product", "matched_input": "flink", "derivation_source": "candidate_result.raw_match_evidence", "candidate_evidence_id": "ev:gq_99e1b305e21f24a9d00b:aff87d2b22c632e0b9efb9cecd52d6dd:vector", "rerank_evidence_id": null, "taxonomy_alias_id": null, "oracle_verification_method": "candidate_evidence_exists", "counts_for_non_trivial_query": true, "truth_verified": true, "exact": false, "priority": 74, "mobile_priority": 2, "ui": { "icon": "Sparkles", "tone": "match", "href": null } } ], "source_label": "DOL Form 5500 filing", "parental_leave_source_label": null, "k401_match_source_label": "DOL Form 5500 filing", "k401_contribution_source_label": "DOL Form 5500 filing", "apply_url_checked_at": null, "apply_url_verification_status": "not_reachable_or_not_checked", "apply_url_verification_label": "Not checked or not reachable at last crawl", "field_source_signals": { "remote_status": { "tier": "posting", "verified": true, "label": "From the posting", "source_label": "the posting", "href": "https://jobs.ashbyhq.com/confluent/f7356433-e9cd-437b-9048-587b11333bb1", "source_values": [ "rule:remote_status" ], "checked_at": "2026-06-20T05:42:05.724Z" }, "equity_included": { "tier": "inferred", "verified": false, "label": "Inferred - source not recorded", "source_label": "source not recorded", "href": null, "source_values": [], "checked_at": "2026-06-20T05:42:05.724Z" }, "k401_match": { "tier": "government", "verified": true, "label": "Verified - DOL Form 5500", "source_label": "DOL Form 5500", "href": null, "source_values": [ "dol_form_5500", "EMPLR_CONTRIB_INCOME_AMT" ], "checked_at": "2026-06-07T00:00:00Z" }, "seniority": { "tier": "posting", "verified": true, "label": "From the posting", "source_label": "the posting", "href": "https://jobs.ashbyhq.com/confluent/f7356433-e9cd-437b-9048-587b11333bb1", "source_values": [ "llm:greenfield:inv_371_postfix" ], "checked_at": "2026-06-20T05:42:05.724Z" }, "role_function": { "tier": "posting", "verified": true, "label": "From the posting", "source_label": "the posting", "href": "https://jobs.ashbyhq.com/confluent/f7356433-e9cd-437b-9048-587b11333bb1", "source_values": [ "llm:greenfield:inv_371_postfix" ], "checked_at": "2026-06-20T05:42:05.724Z" }, "company_stage": { "tier": "posting", "verified": true, "label": "From the posting", "source_label": "the posting", "href": "https://jobs.ashbyhq.com/confluent/f7356433-e9cd-437b-9048-587b11333bb1", "source_values": [ "llm:greenfield:inv_371_postfix" ], "checked_at": "2026-06-20T05:42:05.724Z" } } }, { "id": "701451491c682b524d4592e3a9e24629", "title": "Staff Software Engineer", "employer_name": "Confluent", "employer_slug": "confluent", "location_text": "Remote, United States | Remote", "country": "US", "employment_type": "unknown", "remote_status": "remote", "remote_status_source": null, "remote_status_enriched_at": null, "days_in_office": 0, "timezone_overlap_hours": 6, "salary_min": null, "salary_max": null, "salary_min_source": null, "salary_max_source": null, "salary_currency": "USD", "salary_type": "unknown", "salary_type_source": null, "salary_type_enriched_at": null, "salary_period": null, "base_salary_min": null, "base_salary_max": null, "salary_disclosed": false, "equity_included": false, "equity_included_source": null, "equity_type": [ "none" ], "k401_match": "yes", "match_401k_pct": null, "match_401k_pct_source": null, "k401_match_source_url": null, "k401_match_source_fields": [ "EMPLR_CONTRIB_INCOME_AMT" ], "k401_contribution_source_url": null, "k401_contribution_source_fields": [ "EMPLR_CONTRIB_INCOME_AMT" ], "profit_sharing": false, "bonus_offered": false, "mental_health_support": null, "childcare_subsidy": null, "fertility_family_building_benefits": null, "adoption_assistance_offered": null, "surrogacy_assistance_offered": null, "student_loan_repayment_offered": null, "learning_budget_offered": null, "relocation_assistance": null, "top_startup_sources": [], "posted_at": "2026-06-10T03:52:15.000Z", "apply_url": "https://jobs.ashbyhq.com/confluent/8606dc2b-3ad7-4423-9cbb-c7e6df0a1ae5", "apply_url_verified": false, "ats": "ashby", "url_last_checked_alive": null, "removed_at": null, "description_excerpt": "Staff Software Engineer Remote, United States | Remote We're not just building better tech. We're rewriting how data moves and what the world can do with it. With Confluent, data doesn't sit still. Our platform puts information in motion, streaming in near real-time so companies can react faster, build smarter, and deliver experiences as dynamic as the world around them. It takes a certain kind of person to join this team. Those who ask hard questions, give honest feedback, and show up for each other. No egos, no solo acts. Just smart, curious humans pushing toward something bigger, together. One Confluent. One Team. One Data Streaming Platform. ABOUT THE ROLE: The Flink Platform team is at the forefront of building a robust control plane for the Flink product, leveraging advanced database storage to ensure high reliability and efficiency. With a vision centered on innovation and excellence, this team is critical to advancing Confluent's Data in Motion initiative and is committed to supplying the industry with solutions that cater to evolving stream processing demands. WHAT YOU WILL DO: - Developing the control plane services that orchestrate Flink job lifecycles (submission, scaling, recovery). Building Kubernetes operators and orchestrators for serverless resource management. Designing APIs for job management, multi-tenancy, and isolation. - Following a holistic development approach you will be responsible for the code quality, test coverage, documentation and maintainability of the components you and your team work on. - Designing Components: You will not only implement aspects of Flink Control Plane but", "parental_leave_weeks": null, "non_birth_parent_leave_weeks": null, "parental_leave_weeks_source": null, "non_birth_parent_leave_weeks_source": null, "parental_leave_source_url": null, "pto_days": null, "unlimited_pto": false, "sabbatical_eligible": false, "family_friendly_score": 48, "benefit_verified": true, "benefit_last_verified": "2026-06-07T00:00:00Z", "hire_states_allowed": [], "state_eligibility_source": null, "state_eligibility_enriched_at": null, "llm_quality_pass_at": null, "llm_signals_at": null, "llm_extraction_run_id": null, "llm_extraction_extracted_at": null, "llm_extraction_field_sources": { "seniority": { "field": "seniority", "source": "llm:greenfield:inv_371_postfix", "db_column": "seniority" }, "k401_match": { "source": "dol_form_5500", "source_url": null, "source_fields": [ "EMPLR_CONTRIB_INCOME_AMT" ], "source_label": "DOL Form 5500 filing" }, "salary_type": { "field": "salary_type", "source": "llm:greenfield:inv_371_postfix", "db_column": "salary_type" }, "remote_status": { "field": "remote_status", "source": "rule:remote_status", "db_column": "remote_status" }, "role_function": { "field": "role_function", "source": "rule:title_override", "db_column": "role_function" }, "days_in_office": { "field": "days_in_office", "source": "rule:remote_status", "db_column": "days_in_office" }, "education_required": { "field": "education_required", "source": "llm:greenfield:inv_371_postfix", "db_column": "education_required" } }, "seniority": "mid", "seniority_source": "llm:greenfield:inv_371_postfix", "years_experience_min": 3, "years_experience_max": 7, "role_function": "engineering", "role_function_source": "rule:title_override", "company_stage": null, "company_stage_source": null, "employer_industry": null, "employer_industry_source": null, "employer_size": null, "quality_score": 45, "travel_pct": null, "requires_shift": null, "shift_type": "unknown", "shift_type_source": null, "weekend_work": "unknown", "weekend_work_source": null, "relocation_assistance_source": null, "contractor_w2": "unknown", "required_timezone": null, "fertility_family_building_benefits_source": null, "mental_health_support_source": null, "adoption_assistance_offered_source": null, "childcare_subsidy_source": null, "learning_budget_offered_source": null, "surrogacy_assistance_offered_source": null, "cover_letter_required": null, "cover_letter_required_source": null, "assessment_required": null, "assessment_required_source": null, "application_deadline": null, "application_deadline_source": null, "visa_sponsorship": false, "us_citizenship_required": false, "security_clearance": "none", "education_required": "none", "roll_up_count": null, "roll_up_total_locations": null, "explanations": [ { "schema_version": "inv382.match_signal.v1", "signal_id": "sig.query.description_excerpt.645f7dd129ccb7c171", "query_id": "gq_99e1b305e21f24a9d00b", "job_id": "701451491c682b524d4592e3a9e24629", "signal_type": "query_match", "display_text": "Description: \"flink\"", "tooltip": "Description matched \"flink\" from your search.", "source_binding": "bm25_field_evidence", "source_field": "description_excerpt", "source_value": "Staff Software Engineer Remote, United States | Remote We're not just building better tech. We're rewriting how data moves and what the world can do with it. With Confluent, data doesn't sit still. Our platform puts information in motion, streaming in near real-time so companies can react faster, build smarter, and deliver experiences as dynamic as the world around them. It takes a certain kind of person to join this team. Those who ask hard questions, give honest feedback, and show up for each other. No egos, no solo acts. Just smart, curious humans pushing toward something bigger, together. One Confluent. One Team. One Data Streaming Platform. ABOUT THE ROLE: The Flink Platform team is at the forefront of building a robust control plane for the Flink product, leveraging advanced database storage to ensure high reliability and efficiency. With a vision centered on innovation and excellence, this team is critical to advancing Confluent's Data in Motion initiative and is committed to supplying the industry with solutions that cater to evolving stream processing demands. WHAT YOU WILL DO: - Developing the control plane services that orchestrate Flink job lifecycles (submission, scaling, recovery). Building Kubernetes operators and orchestrators for serverless resource management. Designing APIs for job management, multi-tenancy, and isolation. - Following a holistic development approach you will be responsible for the code quality, test coverage, documentation and maintainability of the components you and your team work on. - Designing Components: You will not only implement aspects of Flink Control Plane but", "matched_input": "flink", "derivation_source": "candidate_result.raw_match_evidence", "candidate_evidence_id": "ev:gq_99e1b305e21f24a9d00b:701451491c682b524d4592e3a9e24629:description:flink", "rerank_evidence_id": null, "taxonomy_alias_id": null, "oracle_verification_method": "candidate_evidence_exists", "counts_for_non_trivial_query": true, "truth_verified": true, "exact": true, "priority": 90, "mobile_priority": 1, "ui": { "icon": "Search", "tone": "match", "href": null } }, { "schema_version": "inv382.match_signal.v1", "signal_id": "sig.semantic.description_excerpt.2099a1d88977b9df00", "query_id": "gq_99e1b305e21f24a9d00b", "job_id": "701451491c682b524d4592e3a9e24629", "signal_type": "query_match", "display_text": "Description: semantic match", "tooltip": "Description provided semantic evidence for your search intent.", "source_binding": "reranker_semantic_evidence", "source_field": "description_excerpt", "source_value": "Staff Software Engineer Remote, United States | Remote We're not just building better tech. We're rewriting how data moves and what the world can do with it. With Confluent, data doesn't sit still. Our platform puts information in motion, streaming in near real-time so companies can react faster, build smarter, and deliver experiences as dynamic as the world around them. It takes a certain kind of person to join this team. Those who ask hard questions, give honest feedback, and show up for each other. No egos, no solo acts. Just smart, curious humans pushing toward something bigger, together. One Confluent. One Team. One Data Streaming Platform. ABOUT THE ROLE: The Flink Platform team is at the forefront of building a robust control plane for the Flink product, leveraging advanced database storage to ensure high reliability and efficiency. With a vision centered on innovation and excellence, this team is critical to advancing Confluent's Data in Motion initiative and is committed to supplying the industry with solutions that cater to evolving stream processing demands. WHAT YOU WILL DO: - Developing the control plane services that orchestrate Flink job lifecycles (submission, scaling, recovery). Building Kubernetes operators and orchestrators for serverless resource management. Designing APIs for job management, multi-tenancy, and isolation. - Following a holistic development approach you will be responsible for the code quality, test coverage, documentation and maintainability of the components you and your team work on. - Designing Components: You will not only implement aspects of Flink Control Plane but", "matched_input": "flink", "derivation_source": "rerank_result.semantic_evidence", "candidate_evidence_id": null, "rerank_evidence_id": "rerank:b7de3311e055243cb99d3d00", "taxonomy_alias_id": null, "oracle_verification_method": "reranker_evidence_exists", "counts_for_non_trivial_query": true, "truth_verified": true, "exact": false, "priority": 86, "mobile_priority": 2, "ui": { "icon": "Sparkles", "tone": "match", "href": null } }, { "schema_version": "inv382.match_signal.v1", "signal_id": "sig.query.description_excerpt.208a6a81135e615125", "query_id": "gq_99e1b305e21f24a9d00b", "job_id": "701451491c682b524d4592e3a9e24629", "signal_type": "query_match", "display_text": "Description: \"flink\"", "tooltip": "Description contains \"flink\" from your search.", "source_binding": "token_match", "source_field": "description_excerpt", "source_value": "Staff Software Engineer Remote, United States | Remote We're not just building better tech. We're rewriting how data moves and what the world can do with it. With Confluent, data doesn't sit still. Our platform puts information in motion, streaming in near real-time so companies can react faster, build smarter, and deliver experiences as dynamic as the world around them. It takes a certain kind of person to join this team. Those who ask hard questions, give honest feedback, and show up for each other. No egos, no solo acts. Just smart, curious humans pushing toward something bigger, together. One Confluent. One Team. One Data Streaming Platform. ABOUT THE ROLE: The Flink Platform team is at the forefront of building a robust control plane for the Flink product, leveraging advanced database storage to ensure high reliability and efficiency. With a vision centered on innovation and excellence, this team is critical to advancing Confluent's Data in Motion initiative and is committed to supplying the industry with solutions that cater to evolving stream processing demands. WHAT YOU WILL DO: - Developing the control plane services that orchestrate Flink job lifecycles (submission, scaling, recovery). Building Kubernetes operators and orchestrators for serverless resource management. Designing APIs for job management, multi-tenancy, and isolation. - Following a holistic development approach you will be responsible for the code quality, test coverage, documentation and maintainability of the components you and your team work on. - Designing Components: You will not only implement aspects of Flink Control Plane but", "matched_input": "flink", "derivation_source": "row_field", "candidate_evidence_id": null, "rerank_evidence_id": null, "taxonomy_alias_id": null, "oracle_verification_method": "row_field_contains", "counts_for_non_trivial_query": true, "truth_verified": true, "exact": true, "priority": 80, "mobile_priority": 2, "ui": { "icon": "SearchCheck", "tone": "match", "href": null } }, { "schema_version": "inv382.match_signal.v1", "signal_id": "sig.semantic.role_function.c7c3721c2a32d0c769", "query_id": "gq_99e1b305e21f24a9d00b", "job_id": "701451491c682b524d4592e3a9e24629", "signal_type": "query_match", "display_text": "Role: semantic match", "tooltip": "Role provided semantic evidence for your search intent.", "source_binding": "vector_semantic_evidence", "source_field": "role_function", "source_value": "engineering", "matched_input": "flink", "derivation_source": "candidate_result.raw_match_evidence", "candidate_evidence_id": "ev:gq_99e1b305e21f24a9d00b:701451491c682b524d4592e3a9e24629:vector", "rerank_evidence_id": null, "taxonomy_alias_id": null, "oracle_verification_method": "candidate_evidence_exists", "counts_for_non_trivial_query": true, "truth_verified": true, "exact": false, "priority": 74, "mobile_priority": 2, "ui": { "icon": "Sparkles", "tone": "match", "href": null } } ], "source_label": "DOL Form 5500 filing", "parental_leave_source_label": null, "k401_match_source_label": "DOL Form 5500 filing", "k401_contribution_source_label": "DOL Form 5500 filing", "apply_url_checked_at": null, "apply_url_verification_status": "not_reachable_or_not_checked", "apply_url_verification_label": "Not checked or not reachable at last crawl", "field_source_signals": { "remote_status": { "tier": "posting", "verified": true, "label": "From the posting", "source_label": "the posting", "href": "https://jobs.ashbyhq.com/confluent/8606dc2b-3ad7-4423-9cbb-c7e6df0a1ae5", "source_values": [ "rule:remote_status" ], "checked_at": null }, "equity_included": { "tier": "inferred", "verified": false, "label": "Inferred - source not recorded", "source_label": "source not recorded", "href": null, "source_values": [], "checked_at": null }, "k401_match": { "tier": "government", "verified": true, "label": "Verified - DOL Form 5500", "source_label": "DOL Form 5500", "href": null, "source_values": [ "dol_form_5500", "EMPLR_CONTRIB_INCOME_AMT" ], "checked_at": "2026-06-07T00:00:00Z" }, "seniority": { "tier": "posting", "verified": true, "label": "From the posting", "source_label": "the posting", "href": "https://jobs.ashbyhq.com/confluent/8606dc2b-3ad7-4423-9cbb-c7e6df0a1ae5", "source_values": [ "llm:greenfield:inv_371_postfix" ], "checked_at": null }, "role_function": { "tier": "posting", "verified": true, "label": "From the posting", "source_label": "the posting", "href": "https://jobs.ashbyhq.com/confluent/8606dc2b-3ad7-4423-9cbb-c7e6df0a1ae5", "source_values": [ "rule:title_override" ], "checked_at": null } } }, { "id": "5b50d0c88b4d310dfee333aa1e9a730a", "title": "MCPP: Material Handler", "employer_name": "KBR, Inc.", "employer_slug": "kbr", "location_text": "Jacksonville, Florida", "country": "US", "employment_type": "unknown", "remote_status": "unspecified", "remote_status_source": null, "remote_status_enriched_at": null, "days_in_office": null, "timezone_overlap_hours": 6, "salary_min": null, "salary_max": null, "salary_min_source": null, "salary_max_source": null, "salary_currency": "UNSPECIFIED", "salary_type": "unknown", "salary_type_source": null, "salary_type_enriched_at": null, "salary_period": null, "base_salary_min": null, "base_salary_max": null, "salary_disclosed": false, "equity_included": true, "equity_included_source": null, "equity_type": [ "rsu", "options", "espp" ], "k401_match": "yes", "match_401k_pct": null, "match_401k_pct_source": null, "k401_match_source_url": null, "k401_match_source_fields": [ "EMPLR_CONTRIB_INCOME_AMT" ], "k401_contribution_source_url": null, "k401_contribution_source_fields": [ "EMPLR_CONTRIB_INCOME_AMT" ], "profit_sharing": false, "bonus_offered": false, "mental_health_support": null, "childcare_subsidy": null, "fertility_family_building_benefits": null, "adoption_assistance_offered": null, "surrogacy_assistance_offered": null, "student_loan_repayment_offered": null, "learning_budget_offered": null, "relocation_assistance": null, "top_startup_sources": [], "posted_at": "2026-05-12T00:00:00.000Z", "apply_url": "https://kbr.wd5.myworkdayjobs.com/KBR_Careers/job/Jacksonville-Florida/MCPP---Material-Handler_R2122846", "apply_url_verified": false, "ats": "workday", "url_last_checked_alive": null, "removed_at": null, "description_excerpt": "MCPP: Material Handler Jacksonville, Florida posted: Posted 30+ Days Ago", "parental_leave_weeks": null, "non_birth_parent_leave_weeks": null, "parental_leave_weeks_source": null, "non_birth_parent_leave_weeks_source": null, "parental_leave_source_url": null, "pto_days": null, "unlimited_pto": false, "sabbatical_eligible": false, "family_friendly_score": 40, "benefit_verified": true, "benefit_last_verified": "2026-06-07T00:00:00Z", "hire_states_allowed": [], "state_eligibility_source": null, "state_eligibility_enriched_at": null, "llm_quality_pass_at": null, "llm_signals_at": null, "llm_extraction_run_id": null, "llm_extraction_extracted_at": null, "llm_extraction_field_sources": { "seniority": { "field": "seniority", "source": "llm:greenfield:inv_371_postfix", "db_column": "seniority" }, "k401_match": { "source": "dol_form_5500", "source_url": null, "source_fields": [ "EMPLR_CONTRIB_INCOME_AMT" ], "source_label": "DOL Form 5500 filing" }, "equity_type": { "source": "sec_10k", "source_url": "https://www.sec.gov/Archives/edgar/data/1357615/000135761526000051/kbr-20260102.htm", "source_fields": [ "equity_offered", "equity_type" ] }, "salary_type": { "field": "salary_type", "source": "llm:greenfield:inv_371_postfix", "db_column": "salary_type" }, "role_function": { "field": "role_function", "source": "rule", "db_column": "role_function" }, "equity_included": { "source": "sec_10k", "source_url": "https://www.sec.gov/Archives/edgar/data/1357615/000135761526000051/kbr-20260102.htm", "source_fields": [ "equity_offered", "equity_type" ] }, "education_required": { "field": "education_required", "source": "llm:greenfield:inv_371_postfix", "db_column": "education_required" } }, "seniority": "mid", "seniority_source": "llm:greenfield:inv_371_postfix", "years_experience_min": 3, "years_experience_max": 7, "role_function": "trades", "role_function_source": "rule", "company_stage": null, "company_stage_source": null, "employer_industry": null, "employer_industry_source": null, "employer_size": null, "quality_score": 35, "travel_pct": null, "requires_shift": null, "shift_type": "unknown", "shift_type_source": null, "weekend_work": "unknown", "weekend_work_source": null, "relocation_assistance_source": null, "contractor_w2": "unknown", "required_timezone": null, "fertility_family_building_benefits_source": null, "mental_health_support_source": null, "adoption_assistance_offered_source": null, "childcare_subsidy_source": null, "learning_budget_offered_source": null, "surrogacy_assistance_offered_source": null, "cover_letter_required": null, "cover_letter_required_source": null, "assessment_required": null, "assessment_required_source": null, "application_deadline": null, "application_deadline_source": null, "visa_sponsorship": false, "us_citizenship_required": false, "security_clearance": "none", "education_required": "none", "roll_up_count": null, "roll_up_total_locations": null, "explanations": [ { "schema_version": "inv382.match_signal.v1", "signal_id": "sig.semantic.title.2f57e2c3b8eba2365a", "query_id": "gq_99e1b305e21f24a9d00b", "job_id": "5b50d0c88b4d310dfee333aa1e9a730a", "signal_type": "query_match", "display_text": "Title: semantic match", "tooltip": "Title provided semantic evidence for your search intent.", "source_binding": "reranker_semantic_evidence", "source_field": "title", "source_value": "MCPP: Material Handler", "matched_input": "flink", "derivation_source": "rerank_result.semantic_evidence", "candidate_evidence_id": null, "rerank_evidence_id": "rerank:e8a0fe5ed54e6b0adf1c8f09", "taxonomy_alias_id": null, "oracle_verification_method": "reranker_evidence_exists", "counts_for_non_trivial_query": true, "truth_verified": true, "exact": false, "priority": 86, "mobile_priority": 2, "ui": { "icon": "Sparkles", "tone": "match", "href": null } }, { "schema_version": "inv382.match_signal.v1", "signal_id": "sig.semantic.role_function.45d80fb852ecb0fb20", "query_id": "gq_99e1b305e21f24a9d00b", "job_id": "5b50d0c88b4d310dfee333aa1e9a730a", "signal_type": "query_match", "display_text": "Role: semantic match", "tooltip": "Role provided semantic evidence for your search intent.", "source_binding": "vector_semantic_evidence", "source_field": "role_function", "source_value": "trades", "matched_input": "flink", "derivation_source": "candidate_result.raw_match_evidence", "candidate_evidence_id": "ev:gq_99e1b305e21f24a9d00b:5b50d0c88b4d310dfee333aa1e9a730a:vector", "rerank_evidence_id": null, "taxonomy_alias_id": null, "oracle_verification_method": "candidate_evidence_exists", "counts_for_non_trivial_query": true, "truth_verified": true, "exact": false, "priority": 74, "mobile_priority": 2, "ui": { "icon": "Sparkles", "tone": "match", "href": null } } ], "source_label": "DOL Form 5500 filing", "parental_leave_source_label": null, "k401_match_source_label": "DOL Form 5500 filing", "k401_contribution_source_label": "DOL Form 5500 filing", "apply_url_checked_at": null, "apply_url_verification_status": "not_reachable_or_not_checked", "apply_url_verification_label": "Not checked or not reachable at last crawl", "field_source_signals": { "equity_included": { "tier": "government", "verified": true, "label": "Verified - SEC 10-K", "source_label": "SEC 10-K", "href": "https://www.sec.gov/Archives/edgar/data/1357615/000135761526000051/kbr-20260102.htm", "source_values": [ "sec_10k", "https://www.sec.gov/Archives/edgar/data/1357615/000135761526000051/kbr-20260102.htm" ], "checked_at": null }, "k401_match": { "tier": "government", "verified": true, "label": "Verified - DOL Form 5500", "source_label": "DOL Form 5500", "href": null, "source_values": [ "dol_form_5500", "EMPLR_CONTRIB_INCOME_AMT" ], "checked_at": "2026-06-07T00:00:00Z" }, "seniority": { "tier": "posting", "verified": true, "label": "From the posting", "source_label": "the posting", "href": "https://kbr.wd5.myworkdayjobs.com/KBR_Careers/job/Jacksonville-Florida/MCPP---Material-Handler_R2122846", "source_values": [ "llm:greenfield:inv_371_postfix" ], "checked_at": null }, "role_function": { "tier": "posting", "verified": true, "label": "From the posting", "source_label": "the posting", "href": "https://kbr.wd5.myworkdayjobs.com/KBR_Careers/job/Jacksonville-Florida/MCPP---Material-Handler_R2122846", "source_values": [ "rule" ], "checked_at": null } } }, { "id": "e7daeca99fa75bedcfaf549d862e9488", "title": "MCPP: Material Handler", "employer_name": "KBR, Inc.", "employer_slug": "kbr", "location_text": "Jacksonville, Florida", "country": "US", "employment_type": "unknown", "remote_status": "unspecified", "remote_status_source": null, "remote_status_enriched_at": null, "days_in_office": null, "timezone_overlap_hours": 6, "salary_min": null, "salary_max": null, "salary_min_source": null, "salary_max_source": null, "salary_currency": "UNSPECIFIED", "salary_type": "unknown", "salary_type_source": null, "salary_type_enriched_at": null, "salary_period": null, "base_salary_min": null, "base_salary_max": null, "salary_disclosed": false, "equity_included": true, "equity_included_source": null, "equity_type": [ "rsu", "options", "espp" ], "k401_match": "yes", "match_401k_pct": null, "match_401k_pct_source": null, "k401_match_source_url": null, "k401_match_source_fields": [ "EMPLR_CONTRIB_INCOME_AMT" ], "k401_contribution_source_url": null, "k401_contribution_source_fields": [ "EMPLR_CONTRIB_INCOME_AMT" ], "profit_sharing": false, "bonus_offered": false, "mental_health_support": null, "childcare_subsidy": null, "fertility_family_building_benefits": null, "adoption_assistance_offered": null, "surrogacy_assistance_offered": null, "student_loan_repayment_offered": null, "learning_budget_offered": null, "relocation_assistance": null, "top_startup_sources": [], "posted_at": "2026-06-05T00:00:00.000Z", "apply_url": "https://kbr.wd5.myworkdayjobs.com/KBR_Careers/job/Jacksonville-Florida/MCPP--Material-Handler_R2124227-1", "apply_url_verified": false, "ats": "workday", "url_last_checked_alive": null, "removed_at": null, "description_excerpt": "MCPP: Material Handler Jacksonville, Florida posted: Posted 7 Days Ago", "parental_leave_weeks": null, "non_birth_parent_leave_weeks": null, "parental_leave_weeks_source": null, "non_birth_parent_leave_weeks_source": null, "parental_leave_source_url": null, "pto_days": null, "unlimited_pto": false, "sabbatical_eligible": false, "family_friendly_score": 40, "benefit_verified": true, "benefit_last_verified": "2026-06-07T00:00:00Z", "hire_states_allowed": [], "state_eligibility_source": null, "state_eligibility_enriched_at": null, "llm_quality_pass_at": null, "llm_signals_at": null, "llm_extraction_run_id": null, "llm_extraction_extracted_at": null, "llm_extraction_field_sources": { "seniority": { "field": "seniority", "source": "llm:greenfield:inv_371_postfix", "db_column": "seniority" }, "k401_match": { "source": "dol_form_5500", "source_url": null, "source_fields": [ "EMPLR_CONTRIB_INCOME_AMT" ], "source_label": "DOL Form 5500 filing" }, "equity_type": { "source": "sec_10k", "source_url": "https://www.sec.gov/Archives/edgar/data/1357615/000135761526000051/kbr-20260102.htm", "source_fields": [ "equity_offered", "equity_type" ] }, "salary_type": { "field": "salary_type", "source": "llm:greenfield:inv_371_postfix", "db_column": "salary_type" }, "role_function": { "field": "role_function", "source": "rule", "db_column": "role_function" }, "equity_included": { "source": "sec_10k", "source_url": "https://www.sec.gov/Archives/edgar/data/1357615/000135761526000051/kbr-20260102.htm", "source_fields": [ "equity_offered", "equity_type" ] }, "education_required": { "field": "education_required", "source": "llm:greenfield:inv_371_postfix", "db_column": "education_required" } }, "seniority": "mid", "seniority_source": "llm:greenfield:inv_371_postfix", "years_experience_min": 3, "years_experience_max": 7, "role_function": "trades", "role_function_source": "rule", "company_stage": null, "company_stage_source": null, "employer_industry": null, "employer_industry_source": null, "employer_size": null, "quality_score": 35, "travel_pct": null, "requires_shift": null, "shift_type": "unknown", "shift_type_source": null, "weekend_work": "unknown", "weekend_work_source": null, "relocation_assistance_source": null, "contractor_w2": "unknown", "required_timezone": null, "fertility_family_building_benefits_source": null, "mental_health_support_source": null, "adoption_assistance_offered_source": null, "childcare_subsidy_source": null, "learning_budget_offered_source": null, "surrogacy_assistance_offered_source": null, "cover_letter_required": null, "cover_letter_required_source": null, "assessment_required": null, "assessment_required_source": null, "application_deadline": null, "application_deadline_source": null, "visa_sponsorship": false, "us_citizenship_required": false, "security_clearance": "none", "education_required": "none", "roll_up_count": null, "roll_up_total_locations": null, "explanations": [ { "schema_version": "inv382.match_signal.v1", "signal_id": "sig.semantic.title.2f4f9a7d49f9e6a7e0", "query_id": "gq_99e1b305e21f24a9d00b", "job_id": "e7daeca99fa75bedcfaf549d862e9488", "signal_type": "query_match", "display_text": "Title: semantic match", "tooltip": "Title provided semantic evidence for your search intent.", "source_binding": "reranker_semantic_evidence", "source_field": "title", "source_value": "MCPP: Material Handler", "matched_input": "flink", "derivation_source": "rerank_result.semantic_evidence", "candidate_evidence_id": null, "rerank_evidence_id": "rerank:9c0038b885dd84947da6c4fa", "taxonomy_alias_id": null, "oracle_verification_method": "reranker_evidence_exists", "counts_for_non_trivial_query": true, "truth_verified": true, "exact": false, "priority": 86, "mobile_priority": 2, "ui": { "icon": "Sparkles", "tone": "match", "href": null } }, { "schema_version": "inv382.match_signal.v1", "signal_id": "sig.semantic.role_function.f2d5fa6ebcfd9c9e7d", "query_id": "gq_99e1b305e21f24a9d00b", "job_id": "e7daeca99fa75bedcfaf549d862e9488", "signal_type": "query_match", "display_text": "Role: semantic match", "tooltip": "Role provided semantic evidence for your search intent.", "source_binding": "vector_semantic_evidence", "source_field": "role_function", "source_value": "trades", "matched_input": "flink", "derivation_source": "candidate_result.raw_match_evidence", "candidate_evidence_id": "ev:gq_99e1b305e21f24a9d00b:e7daeca99fa75bedcfaf549d862e9488:vector", "rerank_evidence_id": null, "taxonomy_alias_id": null, "oracle_verification_method": "candidate_evidence_exists", "counts_for_non_trivial_query": true, "truth_verified": true, "exact": false, "priority": 74, "mobile_priority": 2, "ui": { "icon": "Sparkles", "tone": "match", "href": null } } ], "source_label": "DOL Form 5500 filing", "parental_leave_source_label": null, "k401_match_source_label": "DOL Form 5500 filing", "k401_contribution_source_label": "DOL Form 5500 filing", "apply_url_checked_at": null, "apply_url_verification_status": "not_reachable_or_not_checked", "apply_url_verification_label": "Not checked or not reachable at last crawl", "field_source_signals": { "equity_included": { "tier": "government", "verified": true, "label": "Verified - SEC 10-K", "source_label": "SEC 10-K", "href": "https://www.sec.gov/Archives/edgar/data/1357615/000135761526000051/kbr-20260102.htm", "source_values": [ "sec_10k", "https://www.sec.gov/Archives/edgar/data/1357615/000135761526000051/kbr-20260102.htm" ], "checked_at": null }, "k401_match": { "tier": "government", "verified": true, "label": "Verified - DOL Form 5500", "source_label": "DOL Form 5500", "href": null, "source_values": [ "dol_form_5500", "EMPLR_CONTRIB_INCOME_AMT" ], "checked_at": "2026-06-07T00:00:00Z" }, "seniority": { "tier": "posting", "verified": true, "label": "From the posting", "source_label": "the posting", "href": "https://kbr.wd5.myworkdayjobs.com/KBR_Careers/job/Jacksonville-Florida/MCPP--Material-Handler_R2124227-1", "source_values": [ "llm:greenfield:inv_371_postfix" ], "checked_at": null }, "role_function": { "tier": "posting", "verified": true, "label": "From the posting", "source_label": "the posting", "href": "https://kbr.wd5.myworkdayjobs.com/KBR_Careers/job/Jacksonville-Florida/MCPP--Material-Handler_R2124227-1", "source_values": [ "rule" ], "checked_at": null } } }, { "id": "d4c4cd5b95f0b997a8c2f8111699401e", "title": "Software Development Engineer - Data", "employer_name": "Apple", "employer_slug": "apple", "location_text": "Cupertino, United States of America", "country": "US", "employment_type": "unknown", "remote_status": "unspecified", "remote_status_source": null, "remote_status_enriched_at": null, "days_in_office": null, "timezone_overlap_hours": 6, "salary_min": 181100, "salary_max": 318400, "salary_min_source": null, "salary_max_source": null, "salary_currency": "USD", "salary_type": "base", "salary_type_source": null, "salary_type_enriched_at": null, "salary_period": "year", "base_salary_min": 181100, "base_salary_max": 318400, "salary_disclosed": true, "equity_included": true, "equity_included_source": null, "equity_type": [ "rsu", "options", "espp" ], "k401_match": "yes", "match_401k_pct": null, "match_401k_pct_source": null, "k401_match_source_url": null, "k401_match_source_fields": [ "EMPLR_CONTRIB_INCOME_AMT" ], "k401_contribution_source_url": null, "k401_contribution_source_fields": [ "EMPLR_CONTRIB_INCOME_AMT" ], "profit_sharing": false, "bonus_offered": false, "mental_health_support": null, "childcare_subsidy": null, "fertility_family_building_benefits": null, "adoption_assistance_offered": null, "surrogacy_assistance_offered": null, "student_loan_repayment_offered": null, "learning_budget_offered": null, "relocation_assistance": null, "top_startup_sources": [], "posted_at": "2026-06-08T19:29:04.017Z", "apply_url": "https://jobs.apple.com/en-us/details/200667248/software-development-engineer-data?team=SFTWR", "apply_url_verified": false, "ats": "apple_custom", "url_last_checked_alive": null, "removed_at": null, "description_excerpt": "Software Development Engineer - Data Cupertino, United States of America Seeking extraordinary software engineers with deep experience in scalable streaming processing systems. You will have a passion to push the limits of distributed stateful streaming computing frameworks to get every ounce of performance out of them. Looking for engineers with In depth knowledge of systems like Flink, Beam, Kafka, Iceberg and other existing frameworks. Also someone who will be passionate by the prospect of working reciprocally with other groups internal to Apple and also communities outside Apple. As an engineer on our team, you will advance our data infrastructure, driving innovation by implementing cutting-edge capabilities and tools that will power Apple Services Engineering. You'll collaborate closely with a dedicated team of open source data experts (including Spark, Flink, Kafka, Iceberg committers amongst others) to enhance and automate our infrastructure, ensuring seamless management across both data centers and cloud services. Your work will directly contribute to the resilience, scalability, and performance of the systems that support millions of users worldwide. What you can expect to do and contribute to: • Develop and deploy new features of Apple's internal data platform. • Regularly contribute to open source. • Collaborate with cross-functional teams to design and implement automation tools that streamline operations and reduce manual intervention. • Optimize our cloud-based services to ensure they scale effectively, handling increasing loads while maintaining high performance. • Innovate on API development and integration, enabling seamless communication between our applications and services This is an opportunity to", "parental_leave_weeks": null, "non_birth_parent_leave_weeks": null, "parental_leave_weeks_source": null, "non_birth_parent_leave_weeks_source": null, "parental_leave_source_url": null, "pto_days": null, "unlimited_pto": false, "sabbatical_eligible": false, "family_friendly_score": 44, "benefit_verified": true, "benefit_last_verified": "2026-06-13T01:18:42.546Z", "hire_states_allowed": [], "state_eligibility_source": null, "state_eligibility_enriched_at": null, "llm_quality_pass_at": null, "llm_signals_at": "2026-06-20T05:42:05.724Z", "llm_extraction_run_id": "postfix_final_004037", "llm_extraction_extracted_at": null, "llm_extraction_field_sources": { "seniority": { "field": "seniority", "source": "llm:greenfield:inv_371_postfix", "db_column": "seniority" }, "k401_match": { "source": "dol_form_5500", "source_url": null, "source_fields": [ "EMPLR_CONTRIB_INCOME_AMT" ], "source_label": "DOL Form 5500 filing" }, "salary_max": { "field": "salary_max", "source": "llm:greenfield:inv_371_postfix", "db_column": "salary_max" }, "salary_min": { "field": "salary_min", "source": "llm:greenfield:inv_371_postfix", "db_column": "salary_min" }, "tech_stack": { "field": "tech_stack", "source": "llm:greenfield:inv_371_postfix", "db_column": "tech_stack" }, "equity_type": { "source": "sec_10k", "source_url": "https://www.sec.gov/Archives/edgar/data/320193/000032019325000079/aapl-20250927.htm", "source_fields": [ "equity_offered", "equity_type" ] }, "role_family": { "field": "role_family", "source": "llm:greenfield:inv_371_postfix", "db_column": "role_family" }, "salary_type": { "field": "salary_type", "source": "llm:greenfield:inv_371_postfix", "db_column": "salary_type" }, "role_function": { "field": "role_function", "source": "llm:greenfield:inv_371_postfix", "db_column": "role_function" }, "equity_included": { "source": "sec_10k", "source_url": "https://www.sec.gov/Archives/edgar/data/320193/000032019325000079/aapl-20250927.htm", "source_fields": [ "equity_offered", "equity_type" ] }, "visa_sponsorship": { "field": "visa_sponsorship", "source": "llm:greenfield:inv_371_postfix", "db_column": "visa_sponsorship" }, "industry_vertical": { "field": "industry_vertical", "source": "llm:greenfield:inv_371_postfix", "db_column": "industry_vertical" }, "naics_sector_code": { "field": "naics_sector_code", "source": "llm:greenfield:inv_371_postfix", "db_column": "naics_sector_code" }, "education_required": { "field": "education_required", "source": "llm:greenfield:inv_371_postfix", "db_column": "education_required" }, "naics_sector_title": { "field": "naics_sector_title", "source": "llm:greenfield:inv_371_postfix", "db_column": "naics_sector_title" } }, "seniority": "mid", "seniority_source": "llm:greenfield:inv_371_postfix", "years_experience_min": 3, "years_experience_max": 7, "role_function": "engineering", "role_function_source": "llm:greenfield:inv_371_postfix", "company_stage": null, "company_stage_source": null, "employer_industry": "Technology", "employer_industry_source": "source_sector", "employer_size": "5000+", "quality_score": 55, "travel_pct": null, "requires_shift": null, "shift_type": "unknown", "shift_type_source": null, "weekend_work": "unknown", "weekend_work_source": null, "relocation_assistance_source": null, "contractor_w2": "unknown", "required_timezone": null, "fertility_family_building_benefits_source": null, "mental_health_support_source": null, "adoption_assistance_offered_source": null, "childcare_subsidy_source": null, "learning_budget_offered_source": null, "surrogacy_assistance_offered_source": null, "cover_letter_required": null, "cover_letter_required_source": null, "assessment_required": null, "assessment_required_source": null, "application_deadline": null, "application_deadline_source": null, "visa_sponsorship": true, "us_citizenship_required": false, "security_clearance": "none", "education_required": "bachelors", "roll_up_count": null, "roll_up_total_locations": null, "explanations": [ { "schema_version": "inv382.match_signal.v1", "signal_id": "sig.query.description_excerpt.7b87bbd5b39e8a90ce", "query_id": "gq_99e1b305e21f24a9d00b", "job_id": "d4c4cd5b95f0b997a8c2f8111699401e", "signal_type": "query_match", "display_text": "Description: \"flink\"", "tooltip": "Description matched \"flink\" from your search.", "source_binding": "bm25_field_evidence", "source_field": "description_excerpt", "source_value": "Software Development Engineer - Data Cupertino, United States of America Seeking extraordinary software engineers with deep experience in scalable streaming processing systems. You will have a passion to push the limits of distributed stateful streaming computing frameworks to get every ounce of performance out of them. Looking for engineers with In depth knowledge of systems like Flink, Beam, Kafka, Iceberg and other existing frameworks. Also someone who will be passionate by the prospect of working reciprocally with other groups internal to Apple and also communities outside Apple. As an engineer on our team, you will advance our data infrastructure, driving innovation by implementing cutting-edge capabilities and tools that will power Apple Services Engineering. You'll collaborate closely with a dedicated team of open source data experts (including Spark, Flink, Kafka, Iceberg committers amongst others) to enhance and automate our infrastructure, ensuring seamless management across both data centers and cloud services. Your work will directly contribute to the resilience, scalability, and performance of the systems that support millions of users worldwide. What you can expect to do and contribute to: • Develop and deploy new features of Apple's internal data platform. • Regularly contribute to open source. • Collaborate with cross-functional teams to design and implement automation tools that streamline operations and reduce manual intervention. • Optimize our cloud-based services to ensure they scale effectively, handling increasing loads while maintaining high performance. • Innovate on API development and integration, enabling seamless communication between our applications and services This is an opportunity to", "matched_input": "flink", "derivation_source": "candidate_result.raw_match_evidence", "candidate_evidence_id": "ev:gq_99e1b305e21f24a9d00b:d4c4cd5b95f0b997a8c2f8111699401e:description:flink", "rerank_evidence_id": null, "taxonomy_alias_id": null, "oracle_verification_method": "candidate_evidence_exists", "counts_for_non_trivial_query": true, "truth_verified": true, "exact": true, "priority": 90, "mobile_priority": 1, "ui": { "icon": "Search", "tone": "match", "href": null } }, { "schema_version": "inv382.match_signal.v1", "signal_id": "sig.semantic.description_excerpt.1ce8c2791a2fef8747", "query_id": "gq_99e1b305e21f24a9d00b", "job_id": "d4c4cd5b95f0b997a8c2f8111699401e", "signal_type": "query_match", "display_text": "Description: semantic match", "tooltip": "Description provided semantic evidence for your search intent.", "source_binding": "reranker_semantic_evidence", "source_field": "description_excerpt", "source_value": "Software Development Engineer - Data Cupertino, United States of America Seeking extraordinary software engineers with deep experience in scalable streaming processing systems. You will have a passion to push the limits of distributed stateful streaming computing frameworks to get every ounce of performance out of them. Looking for engineers with In depth knowledge of systems like Flink, Beam, Kafka, Iceberg and other existing frameworks. Also someone who will be passionate by the prospect of working reciprocally with other groups internal to Apple and also communities outside Apple. As an engineer on our team, you will advance our data infrastructure, driving innovation by implementing cutting-edge capabilities and tools that will power Apple Services Engineering. You'll collaborate closely with a dedicated team of open source data experts (including Spark, Flink, Kafka, Iceberg committers amongst others) to enhance and automate our infrastructure, ensuring seamless management across both data centers and cloud services. Your work will directly contribute to the resilience, scalability, and performance of the systems that support millions of users worldwide. What you can expect to do and contribute to: • Develop and deploy new features of Apple's internal data platform. • Regularly contribute to open source. • Collaborate with cross-functional teams to design and implement automation tools that streamline operations and reduce manual intervention. • Optimize our cloud-based services to ensure they scale effectively, handling increasing loads while maintaining high performance. • Innovate on API development and integration, enabling seamless communication between our applications and services This is an opportunity to", "matched_input": "flink", "derivation_source": "rerank_result.semantic_evidence", "candidate_evidence_id": null, "rerank_evidence_id": "rerank:c54d7c176b91c9ae95bf670d", "taxonomy_alias_id": null, "oracle_verification_method": "reranker_evidence_exists", "counts_for_non_trivial_query": true, "truth_verified": true, "exact": false, "priority": 86, "mobile_priority": 2, "ui": { "icon": "Sparkles", "tone": "match", "href": null } }, { "schema_version": "inv382.match_signal.v1", "signal_id": "sig.query.description_excerpt.7e9d7f03b464111197", "query_id": "gq_99e1b305e21f24a9d00b", "job_id": "d4c4cd5b95f0b997a8c2f8111699401e", "signal_type": "query_match", "display_text": "Description: \"flink\"", "tooltip": "Description contains \"flink\" from your search.", "source_binding": "token_match", "source_field": "description_excerpt", "source_value": "Software Development Engineer - Data Cupertino, United States of America Seeking extraordinary software engineers with deep experience in scalable streaming processing systems. You will have a passion to push the limits of distributed stateful streaming computing frameworks to get every ounce of performance out of them. Looking for engineers with In depth knowledge of systems like Flink, Beam, Kafka, Iceberg and other existing frameworks. Also someone who will be passionate by the prospect of working reciprocally with other groups internal to Apple and also communities outside Apple. As an engineer on our team, you will advance our data infrastructure, driving innovation by implementing cutting-edge capabilities and tools that will power Apple Services Engineering. You'll collaborate closely with a dedicated team of open source data experts (including Spark, Flink, Kafka, Iceberg committers amongst others) to enhance and automate our infrastructure, ensuring seamless management across both data centers and cloud services. Your work will directly contribute to the resilience, scalability, and performance of the systems that support millions of users worldwide. What you can expect to do and contribute to: • Develop and deploy new features of Apple's internal data platform. • Regularly contribute to open source. • Collaborate with cross-functional teams to design and implement automation tools that streamline operations and reduce manual intervention. • Optimize our cloud-based services to ensure they scale effectively, handling increasing loads while maintaining high performance. • Innovate on API development and integration, enabling seamless communication between our applications and services This is an opportunity to", "matched_input": "flink", "derivation_source": "row_field", "candidate_evidence_id": null, "rerank_evidence_id": null, "taxonomy_alias_id": null, "oracle_verification_method": "row_field_contains", "counts_for_non_trivial_query": true, "truth_verified": true, "exact": true, "priority": 80, "mobile_priority": 2, "ui": { "icon": "SearchCheck", "tone": "match", "href": null } } ], "source_label": "DOL Form 5500 filing", "parental_leave_source_label": null, "k401_match_source_label": "DOL Form 5500 filing", "k401_contribution_source_label": "DOL Form 5500 filing", "apply_url_checked_at": null, "apply_url_verification_status": "not_reachable_or_not_checked", "apply_url_verification_label": "Not checked or not reachable at last crawl", "field_source_signals": { "salary_min": { "tier": "posting", "verified": true, "label": "From the posting", "source_label": "the posting", "href": "https://jobs.apple.com/en-us/details/200667248/software-development-engineer-data?team=SFTWR", "source_values": [ "llm:greenfield:inv_371_postfix" ], "checked_at": "2026-06-20T05:42:05.724Z" }, "salary_max": { "tier": "posting", "verified": true, "label": "From the posting", "source_label": "the posting", "href": "https://jobs.apple.com/en-us/details/200667248/software-development-engineer-data?team=SFTWR", "source_values": [ "llm:greenfield:inv_371_postfix" ], "checked_at": "2026-06-20T05:42:05.724Z" }, "salary_type": { "tier": "posting", "verified": true, "label": "From the posting", "source_label": "the posting", "href": "https://jobs.apple.com/en-us/details/200667248/software-development-engineer-data?team=SFTWR", "source_values": [ "llm:greenfield:inv_371_postfix" ], "checked_at": "2026-06-20T05:42:05.724Z" }, "equity_included": { "tier": "government", "verified": true, "label": "Verified - SEC 10-K", "source_label": "SEC 10-K", "href": "https://www.sec.gov/Archives/edgar/data/320193/000032019325000079/aapl-20250927.htm", "source_values": [ "sec_10k", "https://www.sec.gov/Archives/edgar/data/320193/000032019325000079/aapl-20250927.htm" ], "checked_at": "2026-06-20T05:42:05.724Z" }, "k401_match": { "tier": "government", "verified": true, "label": "Verified - DOL Form 5500", "source_label": "DOL Form 5500", "href": null, "source_values": [ "dol_form_5500", "EMPLR_CONTRIB_INCOME_AMT" ], "checked_at": "2026-06-13T01:18:42.546Z" }, "seniority": { "tier": "posting", "verified": true, "label": "From the posting", "source_label": "the posting", "href": "https://jobs.apple.com/en-us/details/200667248/software-development-engineer-data?team=SFTWR", "source_values": [ "llm:greenfield:inv_371_postfix" ], "checked_at": "2026-06-20T05:42:05.724Z" }, "role_function": { "tier": "posting", "verified": true, "label": "From the posting", "source_label": "the posting", "href": "https://jobs.apple.com/en-us/details/200667248/software-development-engineer-data?team=SFTWR", "source_values": [ "llm:greenfield:inv_371_postfix" ], "checked_at": "2026-06-20T05:42:05.724Z" }, "employer_industry": { "tier": "government", "verified": true, "label": "Verified - SEC 10-K", "source_label": "SEC 10-K", "href": null, "source_values": [ "source_sector" ], "checked_at": "2026-06-20T05:42:05.724Z" } } }, { "id": "98a3e304b9b18fc84e7592d9e5233dcd", "title": "Senior Frontend Developer - Outplayed", "employer_name": "Overwolf", "employer_slug": "overwolf", "location_text": "Overwolf's lair", "country": "unknown", "employment_type": "unknown", "remote_status": "unspecified", "remote_status_source": null, "remote_status_enriched_at": null, "days_in_office": null, "timezone_overlap_hours": 3, "salary_min": null, "salary_max": null, "salary_min_source": null, "salary_max_source": null, "salary_currency": "UNSPECIFIED", "salary_type": "unknown", "salary_type_source": null, "salary_type_enriched_at": null, "salary_period": null, "base_salary_min": null, "base_salary_max": null, "salary_disclosed": false, "equity_included": false, "equity_included_source": null, "equity_type": [ "none" ], "k401_match": null, "match_401k_pct": null, "match_401k_pct_source": null, "k401_match_source_url": null, "k401_match_source_fields": [], "k401_contribution_source_url": null, "k401_contribution_source_fields": [], "profit_sharing": false, "bonus_offered": false, "mental_health_support": null, "childcare_subsidy": null, "fertility_family_building_benefits": null, "adoption_assistance_offered": null, "surrogacy_assistance_offered": null, "student_loan_repayment_offered": null, "learning_budget_offered": null, "relocation_assistance": null, "top_startup_sources": [ "a16z" ], "posted_at": "2026-06-10T03:52:15.000Z", "apply_url": "https://www.comeet.com/jobs/overwolf/B1.001/senior-frontend-developer---outplayed/17.A68", "apply_url_verified": false, "ats": "custom_structured", "url_last_checked_alive": null, "removed_at": null, "description_excerpt": "Senior Frontend Developer - Outplayed Overwolf's lair Senior Frontend Developer - Outplayed", "parental_leave_weeks": null, "non_birth_parent_leave_weeks": null, "parental_leave_weeks_source": null, "non_birth_parent_leave_weeks_source": null, "parental_leave_source_url": null, "pto_days": null, "unlimited_pto": false, "sabbatical_eligible": false, "family_friendly_score": 43, "benefit_verified": false, "benefit_last_verified": null, "hire_states_allowed": [], "state_eligibility_source": null, "state_eligibility_enriched_at": null, "llm_quality_pass_at": null, "llm_signals_at": null, "llm_extraction_run_id": null, "llm_extraction_extracted_at": null, "llm_extraction_field_sources": { "seniority": { "field": "seniority", "source": "llm:greenfield:inv_371_postfix", "db_column": "seniority" }, "salary_type": { "field": "salary_type", "source": "llm:greenfield:inv_371_postfix", "db_column": "salary_type" }, "role_function": { "field": "role_function", "source": "rule", "db_column": "role_function" }, "education_required": { "field": "education_required", "source": "llm:greenfield:inv_371_postfix", "db_column": "education_required" } }, "seniority": "senior", "seniority_source": "llm:greenfield:inv_371_postfix", "years_experience_min": 5, "years_experience_max": 9, "role_function": "engineering", "role_function_source": "rule", "company_stage": null, "company_stage_source": null, "employer_industry": null, "employer_industry_source": null, "employer_size": "51-200", "quality_score": 35, "travel_pct": null, "requires_shift": null, "shift_type": "unknown", "shift_type_source": null, "weekend_work": "unknown", "weekend_work_source": null, "relocation_assistance_source": null, "contractor_w2": "unknown", "required_timezone": null, "fertility_family_building_benefits_source": null, "mental_health_support_source": null, "adoption_assistance_offered_source": null, "childcare_subsidy_source": null, "learning_budget_offered_source": null, "surrogacy_assistance_offered_source": null, "cover_letter_required": null, "cover_letter_required_source": null, "assessment_required": null, "assessment_required_source": null, "application_deadline": null, "application_deadline_source": null, "visa_sponsorship": false, "us_citizenship_required": false, "security_clearance": "none", "education_required": "none", "roll_up_count": null, "roll_up_total_locations": null, "explanations": [ { "schema_version": "inv382.match_signal.v1", "signal_id": "sig.semantic.title.26df9646c342130ddf", "query_id": "gq_99e1b305e21f24a9d00b", "job_id": "98a3e304b9b18fc84e7592d9e5233dcd", "signal_type": "query_match", "display_text": "Title: semantic match", "tooltip": "Title provided semantic evidence for your search intent.", "source_binding": "reranker_semantic_evidence", "source_field": "title", "source_value": "Senior Frontend Developer - Outplayed", "matched_input": "flink", "derivation_source": "rerank_result.semantic_evidence", "candidate_evidence_id": null, "rerank_evidence_id": "rerank:bbfdc36a42bead04baccedea", "taxonomy_alias_id": null, "oracle_verification_method": "reranker_evidence_exists", "counts_for_non_trivial_query": true, "truth_verified": true, "exact": false, "priority": 86, "mobile_priority": 2, "ui": { "icon": "Sparkles", "tone": "match", "href": null } }, { "schema_version": "inv382.match_signal.v1", "signal_id": "sig.semantic.role_function.836a2d26a6192f09bb", "query_id": "gq_99e1b305e21f24a9d00b", "job_id": "98a3e304b9b18fc84e7592d9e5233dcd", "signal_type": "query_match", "display_text": "Role: semantic match", "tooltip": "Role provided semantic evidence for your search intent.", "source_binding": "vector_semantic_evidence", "source_field": "role_function", "source_value": "engineering", "matched_input": "flink", "derivation_source": "candidate_result.raw_match_evidence", "candidate_evidence_id": "ev:gq_99e1b305e21f24a9d00b:98a3e304b9b18fc84e7592d9e5233dcd:vector", "rerank_evidence_id": null, "taxonomy_alias_id": null, "oracle_verification_method": "candidate_evidence_exists", "counts_for_non_trivial_query": true, "truth_verified": true, "exact": false, "priority": 74, "mobile_priority": 2, "ui": { "icon": "Sparkles", "tone": "match", "href": null } } ], "parental_leave_source_label": null, "k401_match_source_label": null, "k401_contribution_source_label": null, "apply_url_checked_at": null, "apply_url_verification_status": "not_reachable_or_not_checked", "apply_url_verification_label": "Not checked or not reachable at last crawl", "field_source_signals": { "equity_included": { "tier": "inferred", "verified": false, "label": "Inferred - source not recorded", "source_label": "source not recorded", "href": null, "source_values": [], "checked_at": null }, "seniority": { "tier": "posting", "verified": true, "label": "From the posting", "source_label": "the posting", "href": "https://www.comeet.com/jobs/overwolf/B1.001/senior-frontend-developer---outplayed/17.A68", "source_values": [ "llm:greenfield:inv_371_postfix" ], "checked_at": null }, "role_function": { "tier": "posting", "verified": true, "label": "From the posting", "source_label": "the posting", "href": "https://www.comeet.com/jobs/overwolf/B1.001/senior-frontend-developer---outplayed/17.A68", "source_values": [ "rule" ], "checked_at": null } } }, { "id": "8fb6bf3a2ca7aacf110b585044a19d45", "title": "Staff Software Engineer - Streaming Data - Seattle, WA", "employer_name": "Otter", "employer_slug": "otter", "location_text": "Seattle, WA", "country": "US", "employment_type": "full_time", "remote_status": "unspecified", "remote_status_source": null, "remote_status_enriched_at": null, "days_in_office": null, "timezone_overlap_hours": 6, "salary_min": 167000, "salary_max": 230000, "salary_min_source": null, "salary_max_source": null, "salary_currency": "USD", "salary_type": "base", "salary_type_source": null, "salary_type_enriched_at": null, "salary_period": "year", "base_salary_min": 167000, "base_salary_max": 230000, "salary_disclosed": true, "equity_included": true, "equity_included_source": null, "equity_type": [ "options" ], "k401_match": null, "match_401k_pct": null, "match_401k_pct_source": null, "k401_match_source_url": null, "k401_match_source_fields": [], "k401_contribution_source_url": null, "k401_contribution_source_fields": [], "profit_sharing": false, "bonus_offered": true, "mental_health_support": null, "childcare_subsidy": null, "fertility_family_building_benefits": null, "adoption_assistance_offered": null, "surrogacy_assistance_offered": null, "student_loan_repayment_offered": null, "learning_budget_offered": null, "relocation_assistance": null, "top_startup_sources": [ "a16z", "sequoia" ], "posted_at": "2025-08-12T21:45:27.000Z", "apply_url": "https://job-boards.greenhouse.io/otter/jobs/7915060002", "apply_url_verified": false, "ats": "greenhouse", "url_last_checked_alive": null, "removed_at": null, "description_excerpt": "Staff Software Engineer - Streaming Data - Seattle, WA Seattle, WA Who we are In the past, to be a successful restaurateur, you simply had to have a passion for food and a passion for people - but to succeed as a digital restaurateur you also need to have a passion for technology. We believe in the joy of serving others, and that's why we created Otter - to help restaurateurs succeed in online food delivery. Restaurants around the world, both large and small, including Chick-fil-A, Ben & Jerry's, KFC, and Eataly trust our software to power their delivery business. We increase sales, reduce order issues, and decrease delivery headaches. What you'll do - Lead the development, architecture, and maintenance of real-time streaming pipelines with Apache Flink, Kafka, and related tools to ensure low-latency, reliable data delivery. - Implement data quality strategies, including dynamic filtering, checkpointing, and auto-healing for robust, consistent pipelines. - Support and operate real-time data infrastructure, internal tooling, and monitoring systems for pipeline health and performance. - Collaborate cross-functionally with product, engineering, and analytics teams to address data needs and feature requests. - Establish and promote best practices in streaming data engineering, data governance, and cloud platforms while optimizing data models for streaming analytics. What we're looking for - 4+ years of domain experience. - Exposure to streaming data frameworks/tools (e.g., Apache Kafka, Apache Flink, Google Data Flow, etc.) - Required bachelor's degree in Computer Science, Engineering, or a related field (or relevant practical experience). - Experience", "parental_leave_weeks": null, "non_birth_parent_leave_weeks": null, "parental_leave_weeks_source": null, "non_birth_parent_leave_weeks_source": null, "parental_leave_source_url": null, "pto_days": null, "unlimited_pto": false, "sabbatical_eligible": false, "family_friendly_score": 47, "benefit_verified": false, "benefit_last_verified": null, "hire_states_allowed": [], "state_eligibility_source": null, "state_eligibility_enriched_at": null, "llm_quality_pass_at": null, "llm_signals_at": "2026-06-20T05:42:05.724Z", "llm_extraction_run_id": "postfix_final_004037", "llm_extraction_extracted_at": null, "llm_extraction_field_sources": { "seniority": { "field": "seniority", "source": "llm:greenfield:inv_371_postfix", "db_column": "seniority" }, "years_min": { "field": "years_min", "source": "llm:greenfield:inv_371_postfix", "db_column": "years_experience_min" }, "salary_max": { "field": "salary_max", "source": "llm:greenfield:inv_371_postfix", "db_column": "base_salary_max" }, "salary_min": { "field": "salary_min", "source": "llm:greenfield:inv_371_postfix", "db_column": "base_salary_min" }, "tech_stack": { "field": "tech_stack", "source": "llm:greenfield:inv_371_postfix", "db_column": "tech_stack" }, "role_family": { "field": "role_family", "source": "llm:greenfield:inv_371_postfix", "db_column": "role_family" }, "salary_type": { "field": "salary_type", "source": "llm:greenfield:inv_371_postfix", "db_column": "salary_type" }, "bonus_offered": { "field": "bonus_offered", "source": "llm:greenfield:inv_371_postfix", "db_column": "bonus_offered" }, "customer_type": { "field": "customer_type", "source": "llm:greenfield:inv_371_postfix", "db_column": "customer_type" }, "role_function": { "field": "role_function", "source": "llm:greenfield:inv_371_postfix", "db_column": "role_function" }, "salary_period": { "field": "salary_period", "source": "llm:greenfield:inv_371_postfix", "db_column": "salary_period" }, "equity_offered": { "field": "equity_offered", "source": "llm:greenfield:inv_371_postfix", "db_column": "equity_offered" }, "employment_type": { "field": "employment_type", "source": "llm:greenfield:inv_371_postfix", "db_column": "employment_type" }, "equity_included": { "field": "equity_included", "source": "derived:greenfield:inv_371_postfix", "db_column": "equity_included" }, "salary_currency": { "field": "salary_currency", "source": "llm:greenfield:inv_371_postfix", "db_column": "salary_currency" }, "salary_disclosed": { "field": "salary_disclosed", "source": "derived:greenfield:inv_371_postfix", "db_column": "salary_disclosed" }, "education_required": { "field": "education_required", "source": "llm:greenfield:inv_371_postfix", "db_column": "education_required" }, "visible_salary_max": { "field": "visible_salary_max", "source": "derived:greenfield:inv_371_postfix", "db_column": "salary_max" }, "visible_salary_min": { "field": "visible_salary_min", "source": "derived:greenfield:inv_371_postfix", "db_column": "salary_min" } }, "seniority": "staff_plus", "seniority_source": "llm:greenfield:inv_371_postfix", "years_experience_min": 4, "years_experience_max": 12, "role_function": "engineering", "role_function_source": "llm:greenfield:inv_371_postfix", "company_stage": null, "company_stage_source": null, "employer_industry": "Technology", "employer_industry_source": "source_sector", "employer_size": "51-200", "quality_score": 55, "travel_pct": null, "requires_shift": null, "shift_type": "unknown", "shift_type_source": null, "weekend_work": "unknown", "weekend_work_source": null, "relocation_assistance_source": null, "contractor_w2": "unknown", "required_timezone": null, "fertility_family_building_benefits_source": null, "mental_health_support_source": null, "adoption_assistance_offered_source": null, "childcare_subsidy_source": null, "learning_budget_offered_source": null, "surrogacy_assistance_offered_source": null, "cover_letter_required": null, "cover_letter_required_source": null, "assessment_required": null, "assessment_required_source": null, "application_deadline": null, "application_deadline_source": null, "visa_sponsorship": false, "us_citizenship_required": false, "security_clearance": "none", "education_required": "bachelors", "roll_up_count": null, "roll_up_total_locations": null, "explanations": [ { "schema_version": "inv382.match_signal.v1", "signal_id": "sig.query.description_excerpt.bbd232ed38d04242a3", "query_id": "gq_99e1b305e21f24a9d00b", "job_id": "8fb6bf3a2ca7aacf110b585044a19d45", "signal_type": "query_match", "display_text": "Description: \"flink\"", "tooltip": "Description matched \"flink\" from your search.", "source_binding": "bm25_field_evidence", "source_field": "description_excerpt", "source_value": "Staff Software Engineer - Streaming Data - Seattle, WA Seattle, WA Who we are In the past, to be a successful restaurateur, you simply had to have a passion for food and a passion for people - but to succeed as a digital restaurateur you also need to have a passion for technology. We believe in the joy of serving others, and that's why we created Otter - to help restaurateurs succeed in online food delivery. Restaurants around the world, both large and small, including Chick-fil-A, Ben & Jerry's, KFC, and Eataly trust our software to power their delivery business. We increase sales, reduce order issues, and decrease delivery headaches. What you'll do - Lead the development, architecture, and maintenance of real-time streaming pipelines with Apache Flink, Kafka, and related tools to ensure low-latency, reliable data delivery. - Implement data quality strategies, including dynamic filtering, checkpointing, and auto-healing for robust, consistent pipelines. - Support and operate real-time data infrastructure, internal tooling, and monitoring systems for pipeline health and performance. - Collaborate cross-functionally with product, engineering, and analytics teams to address data needs and feature requests. - Establish and promote best practices in streaming data engineering, data governance, and cloud platforms while optimizing data models for streaming analytics. What we're looking for - 4+ years of domain experience. - Exposure to streaming data frameworks/tools (e.g., Apache Kafka, Apache Flink, Google Data Flow, etc.) - Required bachelor's degree in Computer Science, Engineering, or a related field (or relevant practical experience). - Experience", "matched_input": "flink", "derivation_source": "candidate_result.raw_match_evidence", "candidate_evidence_id": "ev:gq_99e1b305e21f24a9d00b:8fb6bf3a2ca7aacf110b585044a19d45:description:flink", "rerank_evidence_id": null, "taxonomy_alias_id": null, "oracle_verification_method": "candidate_evidence_exists", "counts_for_non_trivial_query": true, "truth_verified": true, "exact": true, "priority": 90, "mobile_priority": 1, "ui": { "icon": "Search", "tone": "match", "href": null } }, { "schema_version": "inv382.match_signal.v1", "signal_id": "sig.semantic.description_excerpt.f45c07a30a06b7dd85", "query_id": "gq_99e1b305e21f24a9d00b", "job_id": "8fb6bf3a2ca7aacf110b585044a19d45", "signal_type": "query_match", "display_text": "Description: semantic match", "tooltip": "Description provided semantic evidence for your search intent.", "source_binding": "reranker_semantic_evidence", "source_field": "description_excerpt", "source_value": "Staff Software Engineer - Streaming Data - Seattle, WA Seattle, WA Who we are In the past, to be a successful restaurateur, you simply had to have a passion for food and a passion for people - but to succeed as a digital restaurateur you also need to have a passion for technology. We believe in the joy of serving others, and that's why we created Otter - to help restaurateurs succeed in online food delivery. Restaurants around the world, both large and small, including Chick-fil-A, Ben & Jerry's, KFC, and Eataly trust our software to power their delivery business. We increase sales, reduce order issues, and decrease delivery headaches. What you'll do - Lead the development, architecture, and maintenance of real-time streaming pipelines with Apache Flink, Kafka, and related tools to ensure low-latency, reliable data delivery. - Implement data quality strategies, including dynamic filtering, checkpointing, and auto-healing for robust, consistent pipelines. - Support and operate real-time data infrastructure, internal tooling, and monitoring systems for pipeline health and performance. - Collaborate cross-functionally with product, engineering, and analytics teams to address data needs and feature requests. - Establish and promote best practices in streaming data engineering, data governance, and cloud platforms while optimizing data models for streaming analytics. What we're looking for - 4+ years of domain experience. - Exposure to streaming data frameworks/tools (e.g., Apache Kafka, Apache Flink, Google Data Flow, etc.) - Required bachelor's degree in Computer Science, Engineering, or a related field (or relevant practical experience). - Experience", "matched_input": "flink", "derivation_source": "rerank_result.semantic_evidence", "candidate_evidence_id": null, "rerank_evidence_id": "rerank:9d9aff057b1df9af76319cf7", "taxonomy_alias_id": null, "oracle_verification_method": "reranker_evidence_exists", "counts_for_non_trivial_query": true, "truth_verified": true, "exact": false, "priority": 86, "mobile_priority": 2, "ui": { "icon": "Sparkles", "tone": "match", "href": null } }, { "schema_version": "inv382.match_signal.v1", "signal_id": "sig.query.description_excerpt.fcb3b9b1fdce95f599", "query_id": "gq_99e1b305e21f24a9d00b", "job_id": "8fb6bf3a2ca7aacf110b585044a19d45", "signal_type": "query_match", "display_text": "Description: \"flink\"", "tooltip": "Description contains \"flink\" from your search.", "source_binding": "token_match", "source_field": "description_excerpt", "source_value": "Staff Software Engineer - Streaming Data - Seattle, WA Seattle, WA Who we are In the past, to be a successful restaurateur, you simply had to have a passion for food and a passion for people - but to succeed as a digital restaurateur you also need to have a passion for technology. We believe in the joy of serving others, and that's why we created Otter - to help restaurateurs succeed in online food delivery. Restaurants around the world, both large and small, including Chick-fil-A, Ben & Jerry's, KFC, and Eataly trust our software to power their delivery business. We increase sales, reduce order issues, and decrease delivery headaches. What you'll do - Lead the development, architecture, and maintenance of real-time streaming pipelines with Apache Flink, Kafka, and related tools to ensure low-latency, reliable data delivery. - Implement data quality strategies, including dynamic filtering, checkpointing, and auto-healing for robust, consistent pipelines. - Support and operate real-time data infrastructure, internal tooling, and monitoring systems for pipeline health and performance. - Collaborate cross-functionally with product, engineering, and analytics teams to address data needs and feature requests. - Establish and promote best practices in streaming data engineering, data governance, and cloud platforms while optimizing data models for streaming analytics. What we're looking for - 4+ years of domain experience. - Exposure to streaming data frameworks/tools (e.g., Apache Kafka, Apache Flink, Google Data Flow, etc.) - Required bachelor's degree in Computer Science, Engineering, or a related field (or relevant practical experience). - Experience", "matched_input": "flink", "derivation_source": "row_field", "candidate_evidence_id": null, "rerank_evidence_id": null, "taxonomy_alias_id": null, "oracle_verification_method": "row_field_contains", "counts_for_non_trivial_query": true, "truth_verified": true, "exact": true, "priority": 80, "mobile_priority": 2, "ui": { "icon": "SearchCheck", "tone": "match", "href": null } } ], "parental_leave_source_label": null, "k401_match_source_label": null, "k401_contribution_source_label": null, "apply_url_checked_at": null, "apply_url_verification_status": "not_reachable_or_not_checked", "apply_url_verification_label": "Not checked or not reachable at last crawl", "field_source_signals": { "salary_min": { "tier": "posting", "verified": true, "label": "From the posting", "source_label": "the posting", "href": "https://job-boards.greenhouse.io/otter/jobs/7915060002", "source_values": [ "llm:greenfield:inv_371_postfix" ], "checked_at": "2026-06-20T05:42:05.724Z" }, "salary_max": { "tier": "posting", "verified": true, "label": "From the posting", "source_label": "the posting", "href": "https://job-boards.greenhouse.io/otter/jobs/7915060002", "source_values": [ "llm:greenfield:inv_371_postfix" ], "checked_at": "2026-06-20T05:42:05.724Z" }, "salary_type": { "tier": "posting", "verified": true, "label": "From the posting", "source_label": "the posting", "href": "https://job-boards.greenhouse.io/otter/jobs/7915060002", "source_values": [ "llm:greenfield:inv_371_postfix" ], "checked_at": "2026-06-20T05:42:05.724Z" }, "equity_included": { "tier": "posting", "verified": true, "label": "From the posting", "source_label": "the posting", "href": "https://job-boards.greenhouse.io/otter/jobs/7915060002", "source_values": [ "derived:greenfield:inv_371_postfix" ], "checked_at": "2026-06-20T05:42:05.724Z" }, "seniority": { "tier": "posting", "verified": true, "label": "From the posting", "source_label": "the posting", "href": "https://job-boards.greenhouse.io/otter/jobs/7915060002", "source_values": [ "llm:greenfield:inv_371_postfix" ], "checked_at": "2026-06-20T05:42:05.724Z" }, "role_function": { "tier": "posting", "verified": true, "label": "From the posting", "source_label": "the posting", "href": "https://job-boards.greenhouse.io/otter/jobs/7915060002", "source_values": [ "llm:greenfield:inv_371_postfix" ], "checked_at": "2026-06-20T05:42:05.724Z" }, "employer_industry": { "tier": "government", "verified": true, "label": "Verified - SEC 10-K", "source_label": "SEC 10-K", "href": null, "source_values": [ "source_sector" ], "checked_at": "2026-06-20T05:42:05.724Z" } } }, { "id": "2eded85f7dcf391b75312dc6a5036bc3", "title": "Software Engineer, Data Infrastructure", "employer_name": "OpenAI", "employer_slug": "openai", "location_text": "San Francisco, California, United States", "country": "US", "employment_type": "unknown", "remote_status": "unspecified", "remote_status_source": null, "remote_status_enriched_at": null, "days_in_office": null, "timezone_overlap_hours": 6, "salary_min": null, "salary_max": null, "salary_min_source": null, "salary_max_source": null, "salary_currency": "USD", "salary_type": "unknown", "salary_type_source": null, "salary_type_enriched_at": null, "salary_period": null, "base_salary_min": null, "base_salary_max": null, "salary_disclosed": false, "equity_included": false, "equity_included_source": null, "equity_type": [ "none" ], "k401_match": "yes", "match_401k_pct": null, "match_401k_pct_source": null, "k401_match_source_url": null, "k401_match_source_fields": [ "EMPLR_CONTRIB_INCOME_AMT" ], "k401_contribution_source_url": null, "k401_contribution_source_fields": [ "EMPLR_CONTRIB_INCOME_AMT" ], "profit_sharing": false, "bonus_offered": false, "mental_health_support": null, "childcare_subsidy": null, "fertility_family_building_benefits": null, "adoption_assistance_offered": null, "surrogacy_assistance_offered": null, "student_loan_repayment_offered": null, "learning_budget_offered": null, "relocation_assistance": null, "top_startup_sources": [ "cnbc_disruptor50", "cbinsights_unicorn", "a16z", "sequoia", "foundersfund" ], "posted_at": "2024-06-27T22:14:24.195Z", "apply_url": "https://jobs.ashbyhq.com/openai/f763c6b3-5167-4a67-b691-4c3fa2c44156", "apply_url_verified": false, "ats": "ashby", "url_last_checked_alive": null, "removed_at": null, "description_excerpt": "Software Engineer, Data Infrastructure San Francisco, California, United States About the Team Data Platform at OpenAI owns the foundational data stack powering critical product, research, and analytics workflows. We operate some of the largest Spark compute fleets in production; design, and build data lakes and metadata systems on Iceberg and Delta with a vision toward exabyte-scale architecture; run high throughput streaming platforms on Kafka and Flink; provide orchestration with Airflow; and support ML feature engineering tooling such as Chronon. Our mission is to deliver reliable, secure, and efficient data access at scale and accelerate intelligent, AI assisted data workflows. Join us to build and operate these core platforms that underpin OpenAI products, research, and analytics. We're not just scaling infrastructure - we're redefining how people interact with data. Our vision includes intelligent interfaces and AI-assisted workflows that make working with data faster, more reliable, and more intuitive. About the Role This role focuses on building and operating data infrastructure that supports massive compute fleets and storage systems, designed for high performance and scalability. You'll help design, build, and operate the next generation of data infrastructure at OpenAI. You will scale and harden big data compute and storage platforms, build and support high-throughput streaming systems, build and operate low latency data ingestions, enable secure and governed data access for ML and analytics, and design for reliability and performance at extreme scale. You will take full lifecycle ownership: architecture, implementation, production operations, and on-call participation. You've supported Spark, Kafka, Flink, Airflow, Trino,", "parental_leave_weeks": null, "non_birth_parent_leave_weeks": null, "parental_leave_weeks_source": null, "non_birth_parent_leave_weeks_source": null, "parental_leave_source_url": null, "pto_days": null, "unlimited_pto": false, "sabbatical_eligible": false, "family_friendly_score": 43, "benefit_verified": true, "benefit_last_verified": "2026-06-07T00:00:00Z", "hire_states_allowed": [], "state_eligibility_source": null, "state_eligibility_enriched_at": null, "llm_quality_pass_at": null, "llm_signals_at": "2026-06-20T05:42:05.724Z", "llm_extraction_run_id": "postfix_final_004037", "llm_extraction_extracted_at": null, "llm_extraction_field_sources": { "seniority": { "field": "seniority", "source": "llm:greenfield:inv_371_postfix", "db_column": "seniority" }, "years_min": { "field": "years_min", "source": "llm:greenfield:inv_371_postfix", "db_column": "years_experience_min" }, "k401_match": { "source": "dol_form_5500", "source_url": null, "source_fields": [ "EMPLR_CONTRIB_INCOME_AMT" ], "source_label": "DOL Form 5500 filing" }, "tech_stack": { "field": "tech_stack", "source": "llm:greenfield:inv_371_postfix", "db_column": "tech_stack" }, "role_family": { "field": "role_family", "source": "llm:greenfield:inv_371_postfix", "db_column": "role_family" }, "salary_type": { "field": "salary_type", "source": "llm:greenfield:inv_371_postfix", "db_column": "salary_type" }, "customer_type": { "field": "customer_type", "source": "llm:greenfield:inv_371_postfix", "db_column": "customer_type" }, "role_function": { "field": "role_function", "source": "llm:greenfield:inv_371_postfix", "db_column": "role_function" }, "industry_vertical": { "field": "industry_vertical", "source": "llm:greenfield:inv_371_postfix", "db_column": "industry_vertical" }, "naics_sector_code": { "field": "naics_sector_code", "source": "llm:greenfield:inv_371_postfix", "db_column": "naics_sector_code" }, "education_required": { "field": "education_required", "source": "llm:greenfield:inv_371_postfix", "db_column": "education_required" }, "naics_sector_title": { "field": "naics_sector_title", "source": "llm:greenfield:inv_371_postfix", "db_column": "naics_sector_title" } }, "seniority": "mid", "seniority_source": "llm:greenfield:inv_371_postfix", "years_experience_min": 4, "years_experience_max": 7, "role_function": "engineering", "role_function_source": "llm:greenfield:inv_371_postfix", "company_stage": null, "company_stage_source": null, "employer_industry": null, "employer_industry_source": null, "employer_size": "51-200", "quality_score": 45, "travel_pct": null, "requires_shift": true, "shift_type": "unknown", "shift_type_source": null, "weekend_work": "unknown", "weekend_work_source": null, "relocation_assistance_source": null, "contractor_w2": "unknown", "required_timezone": null, "fertility_family_building_benefits_source": null, "mental_health_support_source": null, "adoption_assistance_offered_source": null, "childcare_subsidy_source": null, "learning_budget_offered_source": null, "surrogacy_assistance_offered_source": null, "cover_letter_required": null, "cover_letter_required_source": null, "assessment_required": null, "assessment_required_source": null, "application_deadline": null, "application_deadline_source": null, "visa_sponsorship": false, "us_citizenship_required": false, "security_clearance": "none", "education_required": "none", "roll_up_count": null, "roll_up_total_locations": null, "explanations": [ { "schema_version": "inv382.match_signal.v1", "signal_id": "sig.query.description_excerpt.1e3fec4d404508bbe6", "query_id": "gq_99e1b305e21f24a9d00b", "job_id": "2eded85f7dcf391b75312dc6a5036bc3", "signal_type": "query_match", "display_text": "Description: \"flink\"", "tooltip": "Description matched \"flink\" from your search.", "source_binding": "bm25_field_evidence", "source_field": "description_excerpt", "source_value": "Software Engineer, Data Infrastructure San Francisco, California, United States About the Team Data Platform at OpenAI owns the foundational data stack powering critical product, research, and analytics workflows. We operate some of the largest Spark compute fleets in production; design, and build data lakes and metadata systems on Iceberg and Delta with a vision toward exabyte-scale architecture; run high throughput streaming platforms on Kafka and Flink; provide orchestration with Airflow; and support ML feature engineering tooling such as Chronon. Our mission is to deliver reliable, secure, and efficient data access at scale and accelerate intelligent, AI assisted data workflows. Join us to build and operate these core platforms that underpin OpenAI products, research, and analytics. We're not just scaling infrastructure - we're redefining how people interact with data. Our vision includes intelligent interfaces and AI-assisted workflows that make working with data faster, more reliable, and more intuitive. About the Role This role focuses on building and operating data infrastructure that supports massive compute fleets and storage systems, designed for high performance and scalability. You'll help design, build, and operate the next generation of data infrastructure at OpenAI. You will scale and harden big data compute and storage platforms, build and support high-throughput streaming systems, build and operate low latency data ingestions, enable secure and governed data access for ML and analytics, and design for reliability and performance at extreme scale. You will take full lifecycle ownership: architecture, implementation, production operations, and on-call participation. You've supported Spark, Kafka, Flink, Airflow, Trino,", "matched_input": "flink", "derivation_source": "candidate_result.raw_match_evidence", "candidate_evidence_id": "ev:gq_99e1b305e21f24a9d00b:2eded85f7dcf391b75312dc6a5036bc3:description:flink", "rerank_evidence_id": null, "taxonomy_alias_id": null, "oracle_verification_method": "candidate_evidence_exists", "counts_for_non_trivial_query": true, "truth_verified": true, "exact": true, "priority": 90, "mobile_priority": 1, "ui": { "icon": "Search", "tone": "match", "href": null } }, { "schema_version": "inv382.match_signal.v1", "signal_id": "sig.semantic.description_excerpt.b677f622b906411f23", "query_id": "gq_99e1b305e21f24a9d00b", "job_id": "2eded85f7dcf391b75312dc6a5036bc3", "signal_type": "query_match", "display_text": "Description: semantic match", "tooltip": "Description provided semantic evidence for your search intent.", "source_binding": "reranker_semantic_evidence", "source_field": "description_excerpt", "source_value": "Software Engineer, Data Infrastructure San Francisco, California, United States About the Team Data Platform at OpenAI owns the foundational data stack powering critical product, research, and analytics workflows. We operate some of the largest Spark compute fleets in production; design, and build data lakes and metadata systems on Iceberg and Delta with a vision toward exabyte-scale architecture; run high throughput streaming platforms on Kafka and Flink; provide orchestration with Airflow; and support ML feature engineering tooling such as Chronon. Our mission is to deliver reliable, secure, and efficient data access at scale and accelerate intelligent, AI assisted data workflows. Join us to build and operate these core platforms that underpin OpenAI products, research, and analytics. We're not just scaling infrastructure - we're redefining how people interact with data. Our vision includes intelligent interfaces and AI-assisted workflows that make working with data faster, more reliable, and more intuitive. About the Role This role focuses on building and operating data infrastructure that supports massive compute fleets and storage systems, designed for high performance and scalability. You'll help design, build, and operate the next generation of data infrastructure at OpenAI. You will scale and harden big data compute and storage platforms, build and support high-throughput streaming systems, build and operate low latency data ingestions, enable secure and governed data access for ML and analytics, and design for reliability and performance at extreme scale. You will take full lifecycle ownership: architecture, implementation, production operations, and on-call participation. You've supported Spark, Kafka, Flink, Airflow, Trino,", "matched_input": "flink", "derivation_source": "rerank_result.semantic_evidence", "candidate_evidence_id": null, "rerank_evidence_id": "rerank:08dc6234d4b8747c2a4aab48", "taxonomy_alias_id": null, "oracle_verification_method": "reranker_evidence_exists", "counts_for_non_trivial_query": true, "truth_verified": true, "exact": false, "priority": 86, "mobile_priority": 2, "ui": { "icon": "Sparkles", "tone": "match", "href": null } }, { "schema_version": "inv382.match_signal.v1", "signal_id": "sig.query.description_excerpt.e617e7018189d6ed1f", "query_id": "gq_99e1b305e21f24a9d00b", "job_id": "2eded85f7dcf391b75312dc6a5036bc3", "signal_type": "query_match", "display_text": "Description: \"flink\"", "tooltip": "Description contains \"flink\" from your search.", "source_binding": "token_match", "source_field": "description_excerpt", "source_value": "Software Engineer, Data Infrastructure San Francisco, California, United States About the Team Data Platform at OpenAI owns the foundational data stack powering critical product, research, and analytics workflows. We operate some of the largest Spark compute fleets in production; design, and build data lakes and metadata systems on Iceberg and Delta with a vision toward exabyte-scale architecture; run high throughput streaming platforms on Kafka and Flink; provide orchestration with Airflow; and support ML feature engineering tooling such as Chronon. Our mission is to deliver reliable, secure, and efficient data access at scale and accelerate intelligent, AI assisted data workflows. Join us to build and operate these core platforms that underpin OpenAI products, research, and analytics. We're not just scaling infrastructure - we're redefining how people interact with data. Our vision includes intelligent interfaces and AI-assisted workflows that make working with data faster, more reliable, and more intuitive. About the Role This role focuses on building and operating data infrastructure that supports massive compute fleets and storage systems, designed for high performance and scalability. You'll help design, build, and operate the next generation of data infrastructure at OpenAI. You will scale and harden big data compute and storage platforms, build and support high-throughput streaming systems, build and operate low latency data ingestions, enable secure and governed data access for ML and analytics, and design for reliability and performance at extreme scale. You will take full lifecycle ownership: architecture, implementation, production operations, and on-call participation. You've supported Spark, Kafka, Flink, Airflow, Trino,", "matched_input": "flink", "derivation_source": "row_field", "candidate_evidence_id": null, "rerank_evidence_id": null, "taxonomy_alias_id": null, "oracle_verification_method": "row_field_contains", "counts_for_non_trivial_query": true, "truth_verified": true, "exact": true, "priority": 80, "mobile_priority": 2, "ui": { "icon": "SearchCheck", "tone": "match", "href": null } } ], "source_label": "DOL Form 5500 filing", "parental_leave_source_label": null, "k401_match_source_label": "DOL Form 5500 filing", "k401_contribution_source_label": "DOL Form 5500 filing", "apply_url_checked_at": null, "apply_url_verification_status": "not_reachable_or_not_checked", "apply_url_verification_label": "Not checked or not reachable at last crawl", "field_source_signals": { "equity_included": { "tier": "inferred", "verified": false, "label": "Inferred - source not recorded", "source_label": "source not recorded", "href": null, "source_values": [], "checked_at": "2026-06-20T05:42:05.724Z" }, "k401_match": { "tier": "government", "verified": true, "label": "Verified - DOL Form 5500", "source_label": "DOL Form 5500", "href": null, "source_values": [ "dol_form_5500", "EMPLR_CONTRIB_INCOME_AMT" ], "checked_at": "2026-06-07T00:00:00Z" }, "seniority": { "tier": "posting", "verified": true, "label": "From the posting", "source_label": "the posting", "href": "https://jobs.ashbyhq.com/openai/f763c6b3-5167-4a67-b691-4c3fa2c44156", "source_values": [ "llm:greenfield:inv_371_postfix" ], "checked_at": "2026-06-20T05:42:05.724Z" }, "role_function": { "tier": "posting", "verified": true, "label": "From the posting", "source_label": "the posting", "href": "https://jobs.ashbyhq.com/openai/f763c6b3-5167-4a67-b691-4c3fa2c44156", "source_values": [ "llm:greenfield:inv_371_postfix" ], "checked_at": "2026-06-20T05:42:05.724Z" } } } ], "total": 328, "page": 1, "per_page": 24, "applied_filters": { "q": "Flink", "quality_floor": "all" }, "hidden_unknown_benefits_count": 0, "hidden_quality_floor_count": 0, "quality_floor": "all", "search_profile": { "profile_id": "inv382.d6.pg_textsearch_bge_small_rrf.v1", "bm25_extension": "pg_textsearch", "vector_model": "BAAI/bge-small-en-v1.5", "vector_model_version": "v1.5", "fusion_method": "rrf" }, "explanation_context": { "non_trivial_query": false, "query_terms": [ "flink" ], "active_filter_keys": [], "visible_signal_limit": 3, "visible_trust_limit": 2 }, "event_context": { "query_context": { "query_id": "adf0088c-8ca4-48cb-a5bd-2f33df00face", "issued_at": "2026-08-25T18:38:04.874Z", "route": "/jobs", "page": 1, "per_page": 24, "total_results": 328, "sort": "relevance", "ranking_policy": "hybrid_rrf_rerank", "ranking_policy_version": "inv382.jobs.search.v2", "query_hash": "hmac_sha256:GPiPzMDhj-RRCpPvvJxwbBmdlyu9-W9vMTZyTdY90iw", "filter_hash": "hmac_sha256:CXa8WcNqf8t4vwJUAguBZ01cbEAo2nphmyJ39emOY9s", "query_features": { "has_q": true, "q_term_count": 1, "q_length_bucket": "1_15", "q_pii_redacted": false, "state_count": 0, "benefit_filters": [], "quality_floor": "all" }, "exposures": [ { "result_id": "e88ca3eba3db61f5b2ecc92489c40f00", "position": 1, "page_position": 1, "retrieval_features": { "bm25_score": -9.957247734069824, "vector_score": 0.35712313652038574, "rrf_score": 0.0288981288981289, "rerank_score": 6.683718204498291, "text_match_title": false, "text_match_employer": true, "role_match": true, "benefit_verified": false, "salary_disclosed": false, "posted_age_days": 75, "quality_score": 45 } }, { "result_id": "c4887c5121e0ffd8b5196c5261e6b9d3", "position": 2, "page_position": 2, "retrieval_features": { "bm25_score": -10.003523826599121, "vector_score": 0.36232519149780273, "rrf_score": 0.029211087420042643, "rerank_score": 5.822987079620361, "text_match_title": true, "text_match_employer": false, "role_match": true, "benefit_verified": true, "salary_disclosed": true, "posted_age_days": 83, "quality_score": 55 } }, { "result_id": "988b634d67d670e7bd3a4777c3547f4f", "position": 3, "page_position": 3, "retrieval_features": { "bm25_score": -12.978739738464355, "vector_score": 0.29956857564636485, "rrf_score": 0.032266458495966696, "rerank_score": 5.000608921051025, "text_match_title": true, "text_match_employer": false, "role_match": true, "benefit_verified": true, "salary_disclosed": false, "posted_age_days": 76, "quality_score": 45 } }, { "result_id": "e36fcaaed6a44e18b6ce3ac27098df4d", "position": 4, "page_position": 4, "retrieval_features": { "bm25_score": -13.075672149658203, "vector_score": 0.3117287755012512, "rrf_score": 0.03252247488101534, "rerank_score": 4.7672858238220215, "text_match_title": true, "text_match_employer": false, "role_match": true, "benefit_verified": true, "salary_disclosed": false, "posted_age_days": 76, "quality_score": 45 } }, { "result_id": "f4398a9072aef2c73875f8ea583dce56", "position": 5, "page_position": 5, "retrieval_features": { "bm25_score": -13.048002243041992, "vector_score": 0.34185125328883026, "rrf_score": 0.031754032258064516, "rerank_score": 4.668682098388672, "text_match_title": true, "text_match_employer": false, "role_match": true, "benefit_verified": true, "salary_disclosed": false, "posted_age_days": 74, "quality_score": 35 } }, { "result_id": "b1c8a57b5c7569c4a06dff6fbbecb5c1", "position": 6, "page_position": 6, "retrieval_features": { "bm25_score": -12.547811508178711, "vector_score": 0.34171692480343907, "rrf_score": 0.03125763125763126, "rerank_score": 1.3911486864089966, "text_match_title": false, "text_match_employer": true, "role_match": true, "benefit_verified": false, "salary_disclosed": false, "posted_age_days": 164, "quality_score": 35 } }, { "result_id": "fd82f2f3c01ca4acd20d40b8e2dab0ab", "position": 7, "page_position": 7, "retrieval_features": { "bm25_score": -12.591692924499512, "vector_score": 0.37361118950777006, "rrf_score": 0.030330882352941176, "rerank_score": 0.9668026566505432, "text_match_title": true, "text_match_employer": false, "role_match": true, "benefit_verified": true, "salary_disclosed": false, "posted_age_days": 105, "quality_score": 35 } }, { "result_id": "2beaffe38a23a58146417901b6172717", "position": 8, "page_position": 8, "retrieval_features": { "bm25_score": -10.560456275939941, "vector_score": 0, "rrf_score": 0.014492753623188406, "rerank_score": -0.017950933426618576, "text_match_title": true, "text_match_employer": false, "role_match": false, "benefit_verified": false, "salary_disclosed": false, "posted_age_days": 75, "quality_score": 45 } }, { "result_id": "a04b787b1daa6a1ee0599531a76eeec2", "position": 9, "page_position": 9, "retrieval_features": { "bm25_score": 0, "vector_score": 0.38278356893160415, "rrf_score": 0.014084507042253521, "rerank_score": -7.855040550231934, "text_match_title": true, "text_match_employer": false, "role_match": true, "benefit_verified": false, "salary_disclosed": false, "posted_age_days": 76, "quality_score": 35 } }, { "result_id": "8f2e84f37f7608fbff0cc3e9e8736e6a", "position": 10, "page_position": 10, "retrieval_features": { "bm25_score": 0, "vector_score": 0.3785889148712158, "rrf_score": 0.014492753623188406, "rerank_score": -8.689379692077637, "text_match_title": true, "text_match_employer": false, "role_match": true, "benefit_verified": true, "salary_disclosed": false, "posted_age_days": 88, "quality_score": 35 } }, { "result_id": "3badca44981a1344478b7f01278b62c9", "position": 11, "page_position": 11, "retrieval_features": { "bm25_score": 0, "vector_score": 0.38360393047332764, "rrf_score": 0.013513513513513514, "rerank_score": -9.387754440307617, "text_match_title": true, "text_match_employer": false, "role_match": true, "benefit_verified": true, "salary_disclosed": false, "posted_age_days": 105, "quality_score": 35 } }, { "result_id": "644d62b4d4bd4ec1bd14774afa570af5", "position": 12, "page_position": 12, "retrieval_features": { "bm25_score": 0, "vector_score": 0.38694004377544033, "rrf_score": 0.0125, "rerank_score": -9.601571083068848, "text_match_title": true, "text_match_employer": false, "role_match": true, "benefit_verified": false, "salary_disclosed": false, "posted_age_days": 209, "quality_score": 35 } }, { "result_id": "237e35c0eef848a20c9184a0e75776c6", "position": 13, "page_position": 13, "retrieval_features": { "bm25_score": -9.147717475891113, "vector_score": 0, "rrf_score": 0.012658227848101266, "rerank_score": -11.209259033203125, "text_match_title": false, "text_match_employer": false, "role_match": false, "benefit_verified": false, "salary_disclosed": false, "posted_age_days": 123, "quality_score": 45 } }, { "result_id": "2cceea9cab05c07532656bfe2328c91b", "position": 14, "page_position": 14, "retrieval_features": { "bm25_score": -9.957247734069824, "vector_score": 0, "rrf_score": 0.014084507042253521, "rerank_score": -11.374785423278809, "text_match_title": false, "text_match_employer": false, "role_match": false, "benefit_verified": false, "salary_disclosed": false, "posted_age_days": 119, "quality_score": 45 } }, { "result_id": "2a733838040a929e048d3c8ab96d167d", "position": 15, "page_position": 15, "retrieval_features": { "bm25_score": -8.393939018249512, "vector_score": 0, "rrf_score": 0.0125, "rerank_score": -11.393183708190918, "text_match_title": false, "text_match_employer": false, "role_match": false, "benefit_verified": false, "salary_disclosed": false, "posted_age_days": 563, "quality_score": 45 } }, { "result_id": "21f422bd0b5469dc0bca98838c9b3e4a", "position": 16, "page_position": 16, "retrieval_features": { "bm25_score": -9.671940803527832, "vector_score": 0.3835840592632247, "rrf_score": 0.027222222222222224, "rerank_score": -11.426032066345215, "text_match_title": false, "text_match_employer": false, "role_match": true, "benefit_verified": true, "salary_disclosed": false, "posted_age_days": 76, "quality_score": 45 } }, { "result_id": "aff87d2b22c632e0b9efb9cecd52d6dd", "position": 17, "page_position": 17, "retrieval_features": { "bm25_score": -11.462173461914062, "vector_score": 0.38656216859817505, "rrf_score": 0.027972027972027972, "rerank_score": -11.433053016662598, "text_match_title": false, "text_match_employer": false, "role_match": true, "benefit_verified": true, "salary_disclosed": false, "posted_age_days": 76, "quality_score": 45 } }, { "result_id": "701451491c682b524d4592e3a9e24629", "position": 18, "page_position": 18, "retrieval_features": { "bm25_score": -11.254243850708008, "vector_score": 0.35761252894326756, "rrf_score": 0.03007688828584351, "rerank_score": -11.437506675720215, "text_match_title": false, "text_match_employer": false, "role_match": true, "benefit_verified": true, "salary_disclosed": false, "posted_age_days": 76, "quality_score": 45 } }, { "result_id": "5b50d0c88b4d310dfee333aa1e9a730a", "position": 19, "page_position": 19, "retrieval_features": { "bm25_score": 0, "vector_score": 0.3805923235063349, "rrf_score": 0.014285714285714285, "rerank_score": -11.445985794067383, "text_match_title": true, "text_match_employer": false, "role_match": true, "benefit_verified": true, "salary_disclosed": false, "posted_age_days": 105, "quality_score": 35 } }, { "result_id": "e7daeca99fa75bedcfaf549d862e9488", "position": 20, "page_position": 20, "retrieval_features": { "bm25_score": 0, "vector_score": 0.38358551263809204, "rrf_score": 0.0136986301369863, "rerank_score": -11.446861267089844, "text_match_title": true, "text_match_employer": false, "role_match": true, "benefit_verified": true, "salary_disclosed": false, "posted_age_days": 81, "quality_score": 35 } }, { "result_id": "d4c4cd5b95f0b997a8c2f8111699401e", "position": 21, "page_position": 21, "retrieval_features": { "bm25_score": -9.957247734069824, "vector_score": 0, "rrf_score": 0.0136986301369863, "rerank_score": -11.449973106384277, "text_match_title": false, "text_match_employer": false, "role_match": false, "benefit_verified": true, "salary_disclosed": true, "posted_age_days": 77, "quality_score": 55 } }, { "result_id": "98a3e304b9b18fc84e7592d9e5233dcd", "position": 22, "page_position": 22, "retrieval_features": { "bm25_score": 0, "vector_score": 0.3864032856466334, "rrf_score": 0.013157894736842105, "rerank_score": -11.465259552001953, "text_match_title": true, "text_match_employer": false, "role_match": true, "benefit_verified": false, "salary_disclosed": false, "posted_age_days": 76, "quality_score": 35 } }, { "result_id": "8fb6bf3a2ca7aacf110b585044a19d45", "position": 23, "page_position": 23, "retrieval_features": { "bm25_score": -9.671940803527832, "vector_score": 0, "rrf_score": 0.013157894736842105, "rerank_score": -11.490445137023926, "text_match_title": false, "text_match_employer": false, "role_match": false, "benefit_verified": false, "salary_disclosed": true, "posted_age_days": 377, "quality_score": 55 } }, { "result_id": "2eded85f7dcf391b75312dc6a5036bc3", "position": 24, "page_position": 24, "retrieval_features": { "bm25_score": -9.402527809143066, "vector_score": 0, "rrf_score": 0.01282051282051282, "rerank_score": -11.491981506347656, "text_match_title": false, "text_match_employer": false, "role_match": false, "benefit_verified": true, "salary_disclosed": false, "posted_age_days": 788, "quality_score": 45 } } ] }, "context_signature": "CH8wOYNG0mM0sae5KUIu6QqzLuBRiZFnwqLsOEpTjPQ", "event_token": "CH8wOYNG0mM0sae5KUIu6QqzLuBRiZFnwqLsOEpTjPQ" } }