I'm looking for a job. I exported this list from FewerJobs.com - a curated job board.

Please:
1. Rank these jobs by fit for me, given my resume / skills.
2. Highlight the top 5 with a one-sentence rationale each.
3. Flag any concerns, including benefit values without source-backed evidence.
4. Suggest one or two filter changes I could make on FewerJobs to find more good matches.

Filters I applied:
- q: Flink
- quality_floor: default
- match_401k_strict: true
- parental_strict: true
- non_birth_strict: true
- pto_strict: true
- include_older: false
- apply_url_verified: false
- page: 1
- per_page: 100
- sort: relevance

Jobs (100 total):

---
TITLE: Field Robotics Engineer
EMPLOYER: Flink
LOCATION: Zürich, Switzerland (unspecified)
SALARY: Not disclosed
POSTED: 2026-06-11
APPLY_URL: https://jobs.ashbyhq.com/flink/25550dc6-4853-4fec-832e-0f9b64da5177
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
---
TITLE: Flink Lead Software Engineer
EMPLOYER: Salesforce
LOCATION: California - San Francisco (unspecified)
SALARY: $208K-$286K
POSTED: 2026-06-03
PARENTAL_LEAVE_WEEKS: 26 (not source-backed)
NON_BIRTH_PARENT_LEAVE_WEEKS: 12 (not source-backed)
K401_MATCH: yes (source-backed)
K401_SOURCE_URL: https://www.askebsa.dol.gov/FOIA%20Files/2024/Latest/F_SCH_H_2024_Latest.zip
APPLY_URL: https://careers.salesforce.com/en/jobs/jr343322/flink-lead-software-engineer/
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
---
TITLE: Senior Engineering Manager, Flink Control Plane
EMPLOYER: Confluent
LOCATION: Remote, California | Remote (remote)
SALARY: Not disclosed
POSTED: 2026-06-10
APPLY_URL: https://jobs.ashbyhq.com/confluent/f6b05632-b694-49bf-9464-0af5430c8c6c
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
---
TITLE: Staff Software Engineer - Flink SQL
EMPLOYER: Confluent
LOCATION: Remote, United States | Remote (remote)
SALARY: Not disclosed
POSTED: 2026-06-10
APPLY_URL: https://jobs.ashbyhq.com/confluent/79c5035c-4266-40f0-86e1-84d067ed77b1
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
---
TITLE: Software Engineer, Flink
EMPLOYER: Cloudera
LOCATION: Hungary > Budapest (unspecified)
SALARY: Not disclosed
POSTED: 2026-06-12
APPLY_URL: https://cloudera.wd5.myworkdayjobs.com/External_Career/job/Hungary--Budapest/Software-Engineer--Flink_251511-1
EXCERPT: Software Engineer, Flink Hungary > Budapest posted: Posted Today
---
TITLE: Speculative Application
EMPLOYER: Flink
LOCATION: Zürich, Switzerland (unspecified)
SALARY: Not disclosed
POSTED: 2026-03-14
APPLY_URL: https://jobs.ashbyhq.com/flink/1420bc99-761f-4cec-8c32-6d96281d71db
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.
---
TITLE: Senior Software Engineer in Test (IC3) - Streaming/Apache Flink
EMPLOYER: Cloudera
LOCATION: 3 Locations (unspecified)
SALARY: Not disclosed
POSTED: 2026-05-12
APPLY_URL: https://cloudera.wd5.myworkdayjobs.com/External_Career/job/Hungary--Budapest/Senior-Software-Engineer-in-Test--IC3----Streaming-Apache-Flink_251411-1
EXCERPT: Senior Software Engineer in Test (IC3) - Streaming/Apache Flink 3 Locations posted: Posted 30+ Days Ago
---
TITLE: Data Engineer – Big Data & Streaming Platforms - Java/Scala or Python | Spark, Kafka | Flink, Iceberg / Lakehouse, Trino | 4 to 7 Years
EMPLOYER: ThousandEyes
LOCATION: Bangalore, India (unspecified)
SALARY: Not disclosed
POSTED: 2026-06-11
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
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!
---
TITLE: Data Platform Engineering Manager
EMPLOYER: Kraken
LOCATION: United Kingdom, London, Canada, Portugal, Ireland, Brazil, Cyprus, Estonia, Romania, Peru, Panama, Spain, Slovenia, Czech Republic, Hungary, Mexico, Poland, Bulgaria (unspecified)
SALARY: Not disclosed
POSTED: 2026-04-24
APPLY_URL: https://jobs.ashbyhq.com/kraken.com/cf14a771-0586-41de-b379-fe301c3c8120
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
---
TITLE: Senior Software Engineer (Monitor team)
EMPLOYER: Sysdig
LOCATION: Flexible - Serbia (unspecified)
SALARY: Not disclosed
POSTED: 2026-02-26
MENTAL_HEALTH_SUPPORT: yes (not source-backed)
APPLY_URL: https://jobs.lever.co/sysdig/6e819a77-9585-4508-80c3-d0f130263ec4
EXCERPT: Senior Software Engineer (Monitor team) Flexible - Serbia What you will do - Reporting to the Engineering Manager, you will be part of a team of expert developers building the core distributed systems that power the Sysdig platform at scale. - Collaborate with colleagues in product and design to define feature specifications and timelines. - Be part of an amazing team where the primary goal for everybody is to work together to build the best product we can. We enjoy what we do and we always aim to get better. - Participate in an on-call rotation to address any urgent issues. What you will bring with you - Advanced coding skills, with 5+ years of experience in Java or Golang Backend, such as RESTful API design and microservice-based architectures. - Hands-on experience building horizontally scalable components and event-driven architectures using messaging and streaming platforms like Redis, Kafka, NATS, Apache Flink, or similar. - Proficiency with testing methodologies, such as unit testing and integration testing. - We appreciate experience observability topics (metrics, logging, tracing) and tools (e.g., Prometheus, Grafana, Jaeger, Elastic Stack, or similar). - Experience operating in Kubernetes and Cloud providers (AWS, GCP, Azure) is desirable. What we look for - You are willing to participate in professional development activities to stay current with industry trends and improve. - You are fluent in English with the proficiency to collaborate with a global team while expressing your thoughts and ideas, contributing to both technical and product discussions and seeing them come
---
TITLE: Senior Platform Engineer
EMPLOYER: Adyen
LOCATION: Bengaluru (unspecified)
SALARY: Not disclosed
POSTED: 2026-04-28
APPLY_URL: https://job-boards.greenhouse.io/adyen/jobs/7547055
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
---
TITLE: Senior Software Engineer (L5) - Personalization Data
EMPLOYER: Netflix
LOCATION: USA - Remote (remote)
SALARY: $388K-$619K
POSTED: 2026-05-07
NON_BIRTH_PARENT_LEAVE_WEEKS: 8 (not source-backed)
K401_MATCH: yes (source-backed)
K401_SOURCE_URL: https://www.askebsa.dol.gov/FOIA%20Files/2024/Latest/F_SCH_H_2024_Latest.zip
MENTAL_HEALTH_SUPPORT: yes (not source-backed)
APPLY_URL: https://explore.jobs.netflix.net/careers/job/790315836909?microsite=netflix.com
EXCERPT: Senior Software Engineer (L5) - Personalization Data USA - Remote At Netflix, our mission is to entertain the world. Together, we are writing the next episode - pushing the boundaries of storytelling, global fandom and making the unimaginable a reality. We are a dream team obsessed with the uncomfortable excitement of discovering what happens when you merge creativity, intuition and cutting-edge technology. Come be a part of what's next. The personalization data engineering team is responsible for building large, web-scale datasets used for enabling and improving member experience. These datasets are integral inputs to our machine learning algorithms, which drive the exceptional experiences our members enjoy. About the role Given the size, complexity and criticality of our datasets, we are looking for a Software Engineer with a deep analytical mindset and experience with modern distributed systems. As a member of this team, you will drive innovation in big data processing by contributing and adding to the team's suite of data products and frameworks. You will also have the unique opportunity to partner with our world-class algorithm teams to drive continuous improvement and innovation to Netflix personalization. Skills required for this role: Expertise in building production data systems (using Spark, Flink, etc.) on web-scale datasets. Proficiency in at least one major programming language (e.g. Java, Scala) and ability to pick up new tech skills independently. Hands on experience with schema design and data modeling, with an unmistakable passion for elegant and intuitive dataset design. Qualities we value: You have a passion
---
TITLE: Backend Engineer
EMPLOYER: Grepr
LOCATION: San Francisco, California, USA (unspecified)
SALARY: Not disclosed
POSTED: 2025-02-07
APPLY_URL: https://jobs.ashbyhq.com/grepr/497853d2-83f4-4952-b890-9cab2e78c48b
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
---
TITLE: Staff Engineer, Observability
EMPLOYER: MongoDB, Inc.
LOCATION: Dublin (unspecified)
SALARY: Not disclosed
POSTED: 2026-02-27
NON_BIRTH_PARENT_LEAVE_WEEKS: 20 (not source-backed)
FERTILITY_FAMILY_BUILDING_BENEFITS: yes (not source-backed)
MENTAL_HEALTH_SUPPORT: yes (not source-backed)
CHILDCARE_SUBSIDY: yes (not source-backed)
APPLY_URL: https://www.mongodb.com/careers/job/?gh_jid=7613587
EXCERPT: Staff Engineer, Observability Dublin We are seeking a Staff engineer to design, build, and operate the internal and external Observability stack for the MongoDB platform. Tens of thousands of customers depend on our Observability stack to monitor their database clusters and to generate actionable alerts to safeguard critical workloads. This is an opportunity to join a team that is responsible for all Observability systems that support metrics, metric visualization, logs, traces, and alerts for MongoDB. We are looking for engineers with high standards, and experience in setting direction and technical leadership for large engineering teams in designing and operating complex distributed systems, with strict SLO on security, durability, availability and performance. As MongoDB Atlas and its supporting infrastructure continue to experience rapid growth, the demand for high-cardinality observability data for internal and external use cases means we need to continually innovate and scale our systems to the next level. For example, MongoDB Observability systems need to handle 10's of billions of metrics time series, all whilst processing petabytes of logs, traces, and events. Our stack includes VictoriaMetrics, Splunk, Flink, WarpStream/Kafka, Java, Golang Fluentbit. In addition to owning critical components of our observability infrastructure, as a Staff engineer on the team, you'll also work closely with other SWE, Product and SRE teams to promote and implement best practices in instrumenting and monitoring their services. This is a highly collaborative role, and you will get to own some of the most relied upon internal infrastructure at Mongo. Our team champions a strong
---
TITLE: Staff Software Developer
EMPLOYER: Confluent
LOCATION: DE Remote Germany (remote)
SALARY: Not disclosed
POSTED: 2026-06-10
APPLY_URL: https://jobs.ashbyhq.com/confluent/ff2464db-7d56-401c-97b0-eda62adb05ea
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
---
TITLE: Staff Software Engineer
EMPLOYER: Confluent
LOCATION: Remote, United States | Remote (remote)
SALARY: Not disclosed
POSTED: 2026-06-10
APPLY_URL: https://jobs.ashbyhq.com/confluent/8606dc2b-3ad7-4423-9cbb-c7e6df0a1ae5
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
---
TITLE: Pincipal, Product Manager
EMPLOYER: Confluent
LOCATION: Remote, United States | Remote (remote)
SALARY: Not disclosed
POSTED: 2026-06-10
APPLY_URL: https://jobs.ashbyhq.com/confluent/f7356433-e9cd-437b-9048-587b11333bb1
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
---
TITLE: Cloud Enablement Engineering
EMPLOYER: Confluent
LOCATION: IN Remote India (remote)
SALARY: Not disclosed
POSTED: 2026-06-12
APPLY_URL: https://jobs.ashbyhq.com/confluent/1d4405c5-4f6e-4586-9a39-315e1d03a399
EXCERPT: Cloud Enablement Engineering IN Remote India 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: As a Cloud Enablement Engineer at Confluent, you will be at the intersection of engineering and education, empowering our users and prospects with the knowledge and skills to leverage Kafka and Flink on Confluent Cloud effectively. You will be responsible for guiding our valued users to get started with Confluent Cloud by holding one-on-one conversations and by creating high-quality technical content, including code samples, articles, and webinars, that demonstrate how to set up and use Confluent Cloud for various real-time data use cases like Real Time Data Warehousing, Migration from Open Source Kafka, Custom Connector set up, integrating with AI and ML tools etc. WHAT YOU WILL DO: - Develop and maintain high-quality, well-documented guides for various setup, performance tuning, scaling needs that customers often have. - Develop and maintain high-quality, well-documented code examples that illustrate the usage of Confluent Cloud with
---
TITLE: Software Development Engineer - Data
EMPLOYER: Apple
LOCATION: Cupertino, United States of America (unspecified)
SALARY: $181K-$318K
POSTED: 2026-06-08
K401_MATCH: yes (source-backed)
K401_SOURCE_URL: https://www.askebsa.dol.gov/FOIA%20Files/2024/Latest/F_SCH_H_2024_Latest.zip
APPLY_URL: https://jobs.apple.com/en-us/details/200667248/software-development-engineer-data?team=SFTWR
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
---
TITLE: Senior Staff Engineer
EMPLOYER: MongoDB, Inc.
LOCATION: Dublin (unspecified)
SALARY: Not disclosed
POSTED: 2026-02-24
NON_BIRTH_PARENT_LEAVE_WEEKS: 20 (not source-backed)
FERTILITY_FAMILY_BUILDING_BENEFITS: yes (not source-backed)
MENTAL_HEALTH_SUPPORT: yes (not source-backed)
CHILDCARE_SUBSIDY: yes (not source-backed)
APPLY_URL: https://www.mongodb.com/careers/job/?gh_jid=7613559
EXCERPT: Senior Staff Engineer Dublin We are seeking a Senior Staff engineer to design, build, and operate the internal and external Observability stack for the MongoDB platform. Tens of thousands of customers depend on our Observability stack to monitor their database clusters and to generate actionable alerts to safeguard critical workloads. This is an opportunity to join a team that is responsible for all Observability systems that support metrics, metric visualization, logs, traces, and alerts for MongoDB. We are looking for engineers with high standards, and experience in setting direction and technical leadership for large engineering teams in designing and operating complex distributed systems, with strict SLO on security, durability, availability and performance. As MongoDB Atlas and its supporting infrastructure continue to experience rapid growth, the demand for high-cardinality observability data for internal and external use cases means we need to continually innovate and scale our systems to the next level. For example, MongoDB Observability systems need to handle 10's of billions of metrics time series, all whilst processing petabytes of logs, traces, and events. Our stack includes VictoriaMetrics, Splunk, Flink, WarpStream/Kafka, Java, Golang Fluentbit. In addition to owning our observability infrastructure, as an Engineer on the team, you'll also work closely with other SWE and SRE teams to promote and implement best practices in instrumenting and monitoring their services. This is a highly collaborative role, and you will get to own some of the most relied upon internal infrastructure at Mongo. Our team champions a strong culture of inclusivity, diversity,
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TITLE: Systems Development Engineer, Files, Edge, and Data Streams (FEDS)
EMPLOYER: Amazon
LOCATION: Denver, Colorado, USA (unspecified)
SALARY: $129K-$175K
POSTED: 2026-05-07
PARENTAL_LEAVE_WEEKS: 6 (not source-backed)
NON_BIRTH_PARENT_LEAVE_WEEKS: 6 (not source-backed)
K401_MATCH: yes (not source-backed)
FERTILITY_FAMILY_BUILDING_BENEFITS: yes (not source-backed)
ADOPTION_ASSISTANCE_OFFERED: yes (not source-backed)
MENTAL_HEALTH_SUPPORT: yes (not source-backed)
CHILDCARE_SUBSIDY: yes (not source-backed)
APPLY_URL: https://www.amazon.jobs/en/jobs/10413726/systems-development-engineer-files-edge-and-data-streams-feds
EXCERPT: Systems Development Engineer, Files, Edge, and Data Streams (FEDS) Denver, Colorado, USA Application deadline: Jun 16, 2026 The Amazon Dedicated Cloud (ADC), AWS for Government, Storage Services team is hiring a cleared Systems Development Engineer to join the team. This is an exciting opportunity to use the latest cloud computing technologies to help U.S. Government agencies implement innovative cloud computing solutions and solve technical problems. In this role, you will join a team of highly talented engineers building and operating Amazon Simple Queue and Notification Services, Kinesis Data Streams (KDS), and AWS Managed Flink and Kafka, services instrumental to some of our customers' most sensitive workflows. This is a great opportunity to have direct impact to some of the largest-scaled systems in the world and work with some of the smartest people in the industry, while having a huge impact. A successful Systems Development Engineer should be focused on troubleshooting complex system operations, not just on a server level but enterprise wide. Additionally, you will take part and be responsible for developing and building exciting new features for these services - further enabling our customers' mission. You should also have a solid foundation in multiple operating systems, networking and general knowledge of cloud services. You will work with Amazon's largest and most demanding customers to address specific needs across a full suite of services. You will dive deep into technical issues and work diligently to improve the customer experience. This position requires that the candidate selected must currently possess and
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TITLE: Data Engineer - Digital Assets
EMPLOYER: IMC Trading
LOCATION: Zug, Switzerland (unspecified)
SALARY: Not disclosed
POSTED: 2026-01-16
APPLY_URL: https://job-boards.eu.greenhouse.io/imc/jobs/4756922101
EXCERPT: Data Engineer - Digital Assets Zug, Switzerland IMC has a strong presence in traditional Finance and has been expanding into Crypto over the last years. Through its overseas affiliates, IMC provides liquidity and trades on many cryptocurrency exchanges and DeFi protocols. You can expect a dynamic, fast-paced environment that delivers a steady stream of challenges and opportunities, with one of the most exciting aspects of the job being our quick feedback loop in the research, development and deployment of strategies. As a Data Engineer, you'll be joining our core engineering team. You will contribute to our proprietary low-latency trading system, acquire market and trading data, implement ETL processes and collaborate with traders and researchers on improving the trading results. Your Core Responsibilities: - Collaborate on developing market and trading data pipeline systems, both in batch mode and streaming mode. - Extend data pipelines to multiple exchanges/platforms and across different areas of application. - Work closely together with other engineers and researchers, providing efficient data solutions for our research and trading operations. Your Skills and Experience: - Masters in Computer Science, Mathematics, Physics or a related technical field. Industry experience in big data would be a big plus. - Skills in data pipeline technologies such as Clickhouse, Flink and Kafka. Experience with Kubernetes is a plus. - Proficient programming experience in Java/Scala & Python, C++ being a plus. - You are absolutely fluent in English and enjoy working in an international team. - You are eager to design, develop, test, deploy,
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TITLE: Data Engineer
EMPLOYER: Shaped
LOCATION: Williamsburg, NY, United States (unspecified)
SALARY: $130K-$200K
POSTED: 2026-06-10
APPLY_URL: https://jobs.smartrecruiters.com/Shaped/743999924793063-data-engineer
EXCERPT: Data Engineer Williamsburg, NY, United States Company Description: Shaped is an API for developers to seamlessly add personalized ranking and recommendation into their products. These frictionless discovery experiences help end-users find what they want faster, and, consequently, grow conversion and engagement business metrics. We're a seed stage start-up backed by top-tier investors (e.g. Y-Combinator, Susa Ventures, Tribe Capital etc…) and executives (e.g. Google, Amazon, Uber, Dropbox etc…). Our team comes from Meta, Google, Apple and Uber. We're a remote team but have a small office in Brooklyn, New York. Job Description: We are looking for a data engineer to design, build and optimize Shaped's real-time and batch streaming infrastructure. You will be a founding engineer working to reliably ingest customer data (both with batch and real-time processing) into our our state-of-the-art AI discovery engine. As one of Shaped's early employees you will help shape our product, culture and vision. We're excited to work with you. Come build the future of AI with us! Qualifications: 6+ years experience Skills should include Python, Data Warehouses (such as Clickhouse, Snowflake, or BigQuery) Nice-to-have skills should include DBT, Meltano, Airflow, and Apache Flink (or other stream processing frameworks) Additional Information: Salary $130K - $200K Equity 0.10% - 0.50%
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TITLE: Software Engineer, Data Infrastructure
EMPLOYER: OpenAI
LOCATION: San Francisco, California, United States (unspecified)
SALARY: Not disclosed
POSTED: 2024-06-27
APPLY_URL: https://jobs.ashbyhq.com/openai/f763c6b3-5167-4a67-b691-4c3fa2c44156
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,
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TITLE: Staff Software Engineer - Streaming Data - Seattle, WA
EMPLOYER: Otter
LOCATION: Seattle, WA (unspecified)
SALARY: $167K-$230K
POSTED: 2025-08-12
APPLY_URL: https://job-boards.greenhouse.io/otter/jobs/7915060002
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
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TITLE: Software Engineer - Streaming Data - Seattle, WA
EMPLOYER: Otter
LOCATION: Seattle, WA (unspecified)
SALARY: $167K-$230K
POSTED: 2025-10-28
APPLY_URL: https://job-boards.greenhouse.io/otter/jobs/8229059002
EXCERPT: 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 - 3+ 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 in
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TITLE: Data Engineer II
EMPLOYER: McDonald's
LOCATION: Country India (unspecified)
SALARY: Not disclosed
POSTED: 2026-06-12
APPLY_URL: https://jobs.mcdonalds.com/job/Hyderabad-Data-Engineer-II-500081/1387613400/
EXCERPT: Data Engineer II Country India About McDonald's: One of the world's largest employers with locations in more than 100 countries, McDonald's Corporation has corporate opportunities in Hyderabad. Our global offices serve as dynamic innovation and operations hubs, designed to expand McDonald's global talent base and in-house expertise. Our new office in Hyderabad will bring together knowledge across business, technology, analytics, and AI, accelerating our ability to deliver impactful solutions for the business and our customers across the globe. Position Summary: We are seeking a Data Engineer II preferably Full Stack Engineer, to focus on core data engineering work within our RealTime Customer Data Platform (CDP). This role emphasizes building, testing, and operating data pipelines while developing strong fundamentals in streaming and distributed data systems. Roles & Responsibilities: A hands-on, full stack Data Engineering leader who can build real time and batch customer data pipelines and build audience/segmentation capabilities, scale them globally, and develop worldclass engineering teams that deliver privacy safe, high-performance activation. Build and scale real time pipelines for clickstream, transactional, and behavioral data using Kafka, Flink, Spark Structured Streaming, or Dataflow/Beam. Design and evolve customer event models, session-ization, and cross channel stitching to maintain a unified, channel stitching to maintain a unified, privacy aware customer view. Implement low latency activatio
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TITLE: Member of Technical Staff - Data Platform
EMPLOYER: xAI
LOCATION: Palo Alto, CA (unspecified)
SALARY: $180K-$440K
POSTED: 2025-07-29
APPLY_URL: https://job-boards.greenhouse.io/xai/jobs/4803862007
EXCERPT: Member of Technical Staff - Data Platform Palo Alto, CA ABOUT xAI xAI's mission is to create AI systems that can accurately understand the universe and aid humanity in its pursuit of knowledge. Our team is small, highly motivated, and focused on engineering excellence. This organization is for individuals who appreciate challenging themselves and thrive on curiosity. We operate with a flat organizational structure. All employees are expected to be hands-on and to contribute directly to the company's mission. Leadership is given to those who show initiative and consistently deliver excellence. Work ethic and strong prioritization skills are important. All employees are expected to have strong communication skills. They should be able to concisely and accurately share knowledge with their teammates. ABOUT THE ROLE: The Data Platform team builds and operates the infrastructure responsible for all large-scale data transport and processing across the company. We own and manage core systems including Apache Kafka, HDFS, Spark, Flink, and Trino, enabling real-time ML pipelines, feed ranking, experimentation, analytics, and observability at petabyte scale. Our team deals with latency-critical workloads, high-throughput streaming, and distributed compute systems that require fault tolerance, performance, and absolute reliability. As a software engineer on the Data Platform team, you will design, build, and operate the distributed systems powering X's data movement and compute. You will take ownership of infrastructure components that process trillions of events daily, driving the scalability, performance, and reliability of the systems that power product and ML workloads across the company. RESPONSIBILITIES: - Design and
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TITLE: Senior Software Engineer – Real-Time Data Platform
EMPLOYER: Morningstar, Inc.
LOCATION: London, United Kingdom (unspecified)
SALARY: Not disclosed
POSTED: 2026-05-13
APPLY_URL: https://morningstar.wd5.myworkdayjobs.com/Americas/job/London/Senior-Software-Engineer---Real-Time-Data-Platform_REQ-055966/apply
EXCERPT: Senior Software Engineer – Real-Time Data Platform London, United Kingdom Join our team as a Senior Software Engineer and help build the backbone of our high-performance, real-time data platform. Work with cutting-edge technologies like Apache Flink, Kafka, and AWS to deliver scalable, mission-critical systems. Collaborate with talented engineers and stakeholders to solve complex challenges at scale. Shape the future of data-driven business with us.
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TITLE: Senior Data Engineer
EMPLOYER: OKX
LOCATION: Hong Kong, Hong Kong SAR (unspecified)
SALARY: Not disclosed
POSTED: 2026-04-01
APPLY_URL: https://job-boards.greenhouse.io/okx/jobs/7686177003
EXCERPT: Senior Data Engineer Hong Kong, Hong Kong SAR Who We Are At OKX, we believe that the future will be reshaped by crypto, and ultimately contribute to every individual's freedom. OKX is a leading crypto exchange, and the developer of OKX Wallet, giving millions access to crypto trading and decentralized crypto applications (dApps). OKX is also a trusted brand by hundreds of large institutions seeking access to crypto markets. We are safe and reliable, backed by our Proof of Reserves. Across our multiple offices globally, we are united by our core principles: We Before Me , Do the Right Thing , and Get Things Done . These shared values drive our culture, shape our processes, and foster a friendly, rewarding, and diverse environment for every OK-er. OKX is part of OKG, a group that brings the value of Blockchain to users around the world, through our leading products OKX, OKX Wallet, OKLink and more. About the Team Our company, specializing in blockchain and web3 technologies, places a high emphasis on security and reliability. We are seeking individuals who are deeply knowledgeable in operating systems, browsers, DApps, smart contract security, and programming language behaviors. Responsibilities include identifying potential risks such as private key storage and designing leakage prevention solutions. What You'll Be Doing: - Design, develop, and maintain real-time and batch data processing pipelines using Flink, ensuring high performance and scalability. - Responsible for the architecture design and development of Flink streaming systems, tailoring solutions to complex business requirements. - Collaborate
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TITLE: Software Engineer, Distributed Data Systems
EMPLOYER: Exa
LOCATION: San Francisco, California | OnSite (onsite)
SALARY: Not disclosed
POSTED: 2026-06-10
APPLY_URL: https://jobs.ashbyhq.com/exa/5f10cc28-bcad-4ce4-8fa1-996a59c59e65
EXCERPT: Software Engineer, Distributed Data Systems San Francisco, California | OnSite Exa is an applied AI lab building a search engine unlike the world has ever seen. We build massive-scale infra to crawl the entire web, train state-of-the-art embedding models to process it, and design super high performant vector databases to retrieve over it. We now power search for Cursor, Cognition, HubSpot, and over 400,000 developers and have raised $350m from Lightspeed, Benchmark, and a16z. Our ultimate goal is to build perfect search over all the world's information, far beyond Google. If you want to build massive-scale ML systems that will define the way the new AI world consumes information, this is the place for you. As a Data Engineer, you'll architect and build the data infrastructure that powers everything we do-from crawling billions of pages to training our embedding models to serving real-time search. You'll have enormous autonomy in designing systems that scale to hundreds of petabytes. If you've ever wanted to build data pipelines at a scale that most companies only dream about, this is your chance. WHO YOU ARE - Deep understanding of lakehouse architectures (Delta Lake, Iceberg, Hudi) and when to use them - Experience building and operating large-scale distributed data processing pipelines - Hands-on experience with streaming data systems (Kafka, Flink, or similar) - Familiarity with Ray, Spark, or ClickHouse at production scale - An obsessive focus on reliability and building systems that don't page you at 3am BONUS - Experience with Lance or other vector-native
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TITLE: Data Engineer
EMPLOYER: Bank of Nova Scotia
LOCATION: Toronto (unspecified)
SALARY: Not disclosed
POSTED: 2026-06-12
APPLY_URL: https://jobs.scotiabank.com/job/Toronto-Data-Engineer-ON-M1L4S2/600265817/
EXCERPT: Data Engineer Toronto Requisition ID: 252985 Join a purpose driven winning team, committed to results, in an inclusive and high-performing culture. We are seeking a dedicated and enthusiastic Junior Developer to support automation and innovation initiatives across multiple strategic projects. The ideal candidate will have a solid foundation in Python, with exposure to Spark, Hadoop, and cloud platforms considered a strong asset. This role offers hands-on experience, mentorship, and opportunities for continuous learning and career growth. Is this role right for you? In this role, you will: Design, build, and maintain scalable data pipelines using Apache Spark, PySpark, Apache Beam, or Flink. Develop and enhance ETL/ELT workflows using Airflow and ETL tools such as Talend, Spring Batch, or NiFi. Work with structured and semi‑structured data (CSV, JSON, XML, Parquet, ORC, Iceberg) and apply data wrangling techniques using Python and pandas. Contribute to Test Automation Framework enhancements, ensuring reusable and scalable automation components. Support Group Intake Automation by translating business and operational requirements into backend workflows and data processes. Contribute to BotData Enhancement, developing synthetic data generation and validation logic using PySpark. Develop, test, and optimize Python scripts for automation, data transformations, and validation. Participate in Agile ceremonies (stand-ups, planning, retrospectives) and contribute to documentation and knowledge sharing. Coll
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TITLE: Senior Software Engineer - JVM Language Clients
EMPLOYER: ClickHouse
LOCATION: United States (remote) (remote)
SALARY: $141K-$208K
POSTED: 2026-04-22
APPLY_URL: https://job-boards.greenhouse.io/clickhouse/jobs/5973225004
EXCERPT: Senior Software Engineer - JVM Language Clients United States (remote) About ClickHouse Recognized on the 2025 Forbes Cloud 100 list, ClickHouse is one of the most innovative and fast-growing private cloud companies. With more than 3,000 customers and ARR that has grown over 250 percent year over year, ClickHouse leads the market in real-time analytics, data warehousing, observability, and AI workloads. The company's sustained, accelerating momentum was recently validated by a $400M Series D financing round. Over the past three months, customers including Capital One, Lovable, Decagon, Polymarket, and Airwallex have adopted the platform or expanded existing deployments. These customers join an established base of AI innovators and global brands such as Meta, Cursor, Sony, and Tesla. We're on a mission to transform how companies use data. Come be a part of our journey! About the team The Integrations Ecosystem org is the bridge between ClickHouse and the rest of the data world. We build and maintain the connections that make ClickHouse accessible to the developers, data engineers, and analysts who rely on it in production every day. Our scope spans low-level database drivers, ingestion and CDC pipelines, data framework integrations, and BI connectivity - ensuring ClickHouse feels native in whatever stack our users already have. We maintain the official language clients (Python, JavaScript, Java, Go, Rust, C++, C#) and ODBC driver; ship first-party connectors for Kafka Connect, Apache Spark, Apache Flink, dbt, and Airbyte; and own integrations with BI platforms. This role sits on the Language Clients team, which
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TITLE: Software Development Engineer, AWS EMR
EMPLOYER: Amazon
LOCATION: East Palo Alto, California, USA (unspecified)
SALARY: $165K-$224K
POSTED: 2026-05-28
PARENTAL_LEAVE_WEEKS: 6 (not source-backed)
NON_BIRTH_PARENT_LEAVE_WEEKS: 6 (not source-backed)
K401_MATCH: yes (not source-backed)
FERTILITY_FAMILY_BUILDING_BENEFITS: yes (not source-backed)
ADOPTION_ASSISTANCE_OFFERED: yes (not source-backed)
MENTAL_HEALTH_SUPPORT: yes (not source-backed)
CHILDCARE_SUBSIDY: yes (not source-backed)
APPLY_URL: https://www.amazon.jobs/en/jobs/10433560/software-development-engineer-aws-emr
EXCERPT: Software Development Engineer, AWS EMR East Palo Alto, California, USA Do you enjoy working on large-scale distributed systems? Do you want to influence how the world interacts with and analyzes large data sets across a number of industries and use cases? The AWS EMR Control Plane team is looking for smart engineers to work on scaling a heavily used AWS Service. If you want to work with a team solving some of the most interesting challenges in distributed systems, building solutions for large scale problems, please talk to us! Amazon EMR is the industry leading cloud-native big data platform for processing vast amounts of data quickly and cost-effectively at scale. Using open source tools such as Apache Spark, Apache Hive, Apache HBase, Apache Flink, and Presto, coupled with the dynamic scalability of Amazon EC2 and scalable storage of Amazon S3, EMR gives analytical teams the engines and elasticity to run Petabyte-scale analysis for a fraction of the cost of traditional on-premises clusters. We are developing innovative new features including our next-generation cluster and work management system, improvements for real-time processing of big data, and ways to enable customers to more easily interact with their data. In this role, you will have the opportunity to collaborate with and learn from senior and principal engineers who are domain experts at AWS. You will be part of a collaborative and growing team working on complex problems for a successful and long-running product. You will have an opportunity to learn and influence how our
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TITLE: Software Engineer, Data Orchestration
EMPLOYER: Stripe
LOCATION: N/A (unspecified)
SALARY: Not disclosed
POSTED: 2026-06-07
NON_BIRTH_PARENT_LEAVE_WEEKS: 16 (not source-backed)
K401_MATCH: yes (source-backed)
K401_SOURCE_URL: https://www.askebsa.dol.gov/FOIA%20Files/2024/Latest/F_SCH_H_2024_Latest.zip
FERTILITY_FAMILY_BUILDING_BENEFITS: yes (not source-backed)
CHILDCARE_SUBSIDY: yes (not source-backed)
APPLY_URL: https://stripe.com/jobs/search?gh_jid=7230670
EXCERPT: Software Engineer, Data Orchestration N/A Who we are About Stripe Stripe is a financial infrastructure platform for businesses. Millions of companies-from the world's largest enterprises to the most ambitious startups-use Stripe to accept payments, grow their revenue, and accelerate new business opportunities. Our mission is to increase the GDP of the internet, and we have a staggering amount of work ahead. That means you have an unprecedented opportunity to put the global economy within everyone's reach while doing the most important work of your career. About the team The Big Data Infrastructure operates the critical infrastructure that powers the batch data processing at Stripe. The team supports a variety of use cases, including Payment, Ledger, ML, Fraud Detection, Product Analytics, Regulatory Reporting, Financial Data Reconciliation, and externally facing products like Radar and Sigma. As an example of the scale, the team's systems serve hundreds of teams, thousands of workflows, 100,000+ task executions, O(billion) transformations, and moving terabytes of data processing over 1 GB/second every day. Our users inside Stripe include other engineering teams, Data Scientists, Sales and Operations, Finance, etc. Data Orchestration builds and operates the time-based and event-based orchestration infrastructure that powers and accelerates batch data pipelines. The team operates on a wide range of tech stacks including Airflow, Spark, SQL, Kafka, Flink, Hive MetaStore, Trino, Pinot, Python, Java, Scala, S3, and Iceberg. What you'll do As a Software Engineer on this team, you'll design and build infrastructure that powers batch data processing at Stripe. Responsibilities Design, build, and
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TITLE: Sr. Software Development Engineer, Measurement, Ad Tech, and Data Science
EMPLOYER: Amazon
LOCATION: Santa Monica, California, USA (unspecified)
SALARY: $168K-$227K
POSTED: 2026-06-02
PARENTAL_LEAVE_WEEKS: 6 (not source-backed)
NON_BIRTH_PARENT_LEAVE_WEEKS: 6 (not source-backed)
K401_MATCH: yes (not source-backed)
FERTILITY_FAMILY_BUILDING_BENEFITS: yes (not source-backed)
ADOPTION_ASSISTANCE_OFFERED: yes (not source-backed)
MENTAL_HEALTH_SUPPORT: yes (not source-backed)
CHILDCARE_SUBSIDY: yes (not source-backed)
APPLY_URL: https://www.amazon.jobs/en/jobs/10437885/sr-software-development-engineer-measurement-ad-tech-and-data-science
EXCERPT: Sr. Software Development Engineer, Measurement, Ad Tech, and Data Science Santa Monica, California, USA Do you want to architect systems that process petabytes of data and power advertising decisions for millions of advertisers worldwide? Are you energized by solving hard distributed systems problems at a scale few companies ever reach? This is your opportunity. Amazon Advertising operates one of the largest big data platforms on the planet - processing trillions of events daily across display, search, native, and video surfaces on every device. We're looking for a Senior Software Development Engineer to lead the design and delivery of our next-generation measurement and reporting infrastructure - the backbone that enables advertisers to understand, attribute, and optimize their spend across Amazon's full advertising suite. You will define the technical direction for critical data systems, driving architectural decisions that balance scale, latency, cost, and extensibility. You'll leverage technologies like Spark, Flink, and Java alongside AWS services - EMR, Kinesis, DynamoDB, Bedrock, and more - to build pipelines and platforms that serve diverse consumers at Amazon scale. You'll own the end-to-end lifecycle: from whiteboarding system designs in ambiguous problem spaces to shipping production systems that handle billions of requests with high availability. The ideal candidate has a proven track record of delivering highly distributed systems at scale, with deep expertise in platform design patterns - including SDKs, libraries, APIs, and versioning strategies that enable teams across the organization to build on your foundations. You are operationally excellent, technically rigorous, and thrive when partnering across
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TITLE: Hardware/Field Robotics Engineer Intern
EMPLOYER: Flink
LOCATION: Zürich, Switzerland (unspecified)
SALARY: Not disclosed
POSTED: 2026-05-28
APPLY_URL: https://jobs.ashbyhq.com/flink/8ded5be5-be60-4508-9a28-f8db802fb842
EXCERPT: Hardware/Field Robotics Engineer Intern 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 autopilot for robotic material handling. It will power the next generation of plug-and-play robots that stack boxes in logistics centers, unload trucks or sort parcels. Are you an ETH Zürich Mechanical Engineering/Electrical Engineering/Robotics student? We're looking for a talented intern ready to apply their skills to hands-on robotics. The role - Assemble and install automation solutions, including industrial robot arms, and auxiliary hardware. - Be part of the hardware team and design, assemble and manufacture our next gen robots. - Support product testing and assist the engineering team in developing and testing new hardware features. What we are looking for - Strong motivation to get things done and get your hands dirty. - Mechanical and electrical engineering skills. Are you a tinkerer? Perfect! - Passion for robotics and a keen interest to work with physical products most of the time. - Excited about travel and deploying robots in production environments - Analytical, technical and problem-solving skills that can be applied to real-world solutions. - Current Bachelor's/Master's student in Mechanical Engineering or related field. Why join - Take responsibility from day 1 - we are still a small team, and every team member has a big impact. - Join a team of robotics pioneers and an early-stage VC-backed startup. - Great office location. - Possibility to transition to full-time employee or part-time besides
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TITLE: Senior Software Engineer (L5) - Analysis
EMPLOYER: Netflix
LOCATION: USA - Remote (remote)
SALARY: $388K-$558K
POSTED: 2026-03-27
NON_BIRTH_PARENT_LEAVE_WEEKS: 8 (not source-backed)
K401_MATCH: yes (source-backed)
K401_SOURCE_URL: https://www.askebsa.dol.gov/FOIA%20Files/2024/Latest/F_SCH_H_2024_Latest.zip
MENTAL_HEALTH_SUPPORT: yes (not source-backed)
APPLY_URL: https://explore.jobs.netflix.net/careers/job/790315091079?microsite=netflix.com
EXCERPT: Senior Software Engineer (L5) - Analysis USA - Remote At Netflix, our mission is to entertain the world. Together, we are writing the next episode - pushing the boundaries of storytelling, global fandom and making the unimaginable a reality. We are a dream team obsessed with the uncomfortable excitement of discovering what happens when you merge creativity, intuition and cutting-edge technology. Come be a part of what's next. The Analysis team in Experimentation Platform builds and operates the core systems that power A/B test analysis across Netflix. Our tools enable confidence in business decisions that affect our members. We are looking for a Senior Distributed Systems Engineer to design, build, and operate the next generation of analysis tooling at Netflix. What You'll Do Build and evolve critical experiment analysis tooling Build, maintain, and improve real-time and batch analysis workflows for experiment analysis, regression detection, and more Own reliability and performance Participate in on-call, lead incident response, and drive long-term reliability improvements Instrument services with rich observability (metrics, logs, traces) and continuously tune for resilience, performance, and scalability Shape data and integration surfaces Collaborate with teams using technologies like Flink, Spark, Elasticsearch, and Druid to ensure experimentation data is correct, timely, and usable Define clear data and API contracts for consumers and pipelines Partner with product engineering teams Deeply understand experimentation workflows across Netflix Simplify and improve the experience for monitoring and deciding experiments What Sets You Apart Strong understanding of experimentation lifecycle and risks You've done it before: run or
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TITLE: Staff Software Engineer, Stream Compute
EMPLOYER: Stripe
LOCATION: San Francisco, Seattle, New York, Toronto (unspecified)
SALARY: Not disclosed
POSTED: 2026-06-07
NON_BIRTH_PARENT_LEAVE_WEEKS: 16 (not source-backed)
K401_MATCH: yes (source-backed)
K401_SOURCE_URL: https://www.askebsa.dol.gov/FOIA%20Files/2024/Latest/F_SCH_H_2024_Latest.zip
FERTILITY_FAMILY_BUILDING_BENEFITS: yes (not source-backed)
CHILDCARE_SUBSIDY: yes (not source-backed)
APPLY_URL: https://stripe.com/jobs/search?gh_jid=7767063
EXCERPT: Staff Software Engineer, Stream Compute San Francisco, Seattle, New York, Toronto Who we are About Stripe Stripe is a financial infrastructure platform for businesses. Millions of companies-from the world's largest enterprises to the most ambitious startups-use Stripe to accept payments, grow their revenue, and accelerate new business opportunities. Our mission is to increase the GDP of the internet, and we have a staggering amount of work ahead. That means you have an unprecedented opportunity to put the global economy within everyone's reach while doing the most important work of your career. About the team The Stream Compute team at Stripe builds and operates the infrastructure, tooling, and systems behind our Flink-powered stream processing systems. We're at the heart of several core asynchronous workflows, operating at significant scale and handling vast amounts of sensitive financial data. Our work powers intricate processes involving various critical financial operations and real-time analytics. We run globally distributed systems with high reliability and performance to meet Stripe's scaling, availability, and product needs, and we continually reduce operational toil by investing in automation and self-service tooling for upgrades, maintenance, and day-to-day operations. The team is distributed between Seattle, Toronto, and remote locations. What makes our team truly exciting is our commitment to our users: we ensure no event is dropped, state integrity is preserved, and exactly-once processing is supported as a first-class feature. Working at the intersection of real-time data processing and fintech innovation, we continuously push the boundaries of what's possible. Our focus on innovation, user
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TITLE: Senior Software Engineer - Data Platform
EMPLOYER: Terminal
LOCATION: 📍 Toronto, ON | Hybrid | Remote (hybrid)
SALARY: Not disclosed
POSTED: 2026-06-10
APPLY_URL: https://jobs.ashbyhq.com/terminal/b94f9c5d-95b1-4dfb-b8c1-3fc604dffea0
EXCERPT: Senior Software Engineer - Data Platform 📍 Toronto, ON | Hybrid | Remote ABOUT TERMINAL Terminal is Plaid for Telematics in commercial trucking. Companies building the next generation of insurance products, financial services and fleet software for trucking use our Universal API to access GPS data, speeding data and vehicle stats. We are a fast-growing, venture-backed startup supported by top investors including Y Combinator, Golden Ventures and Wayfinder Ventures. Our exceptionally talented team is based in Toronto, Canada. For more info, check out our website: https://withterminal.com Note: This role is only available to Toronto/GTA-based candidates ABOUT THE ROLE We're looking for an engineer who thrives on building scalable data platforms and enjoys tackling complex backend challenges. This isn't just a data engineering role, you'll be designing and optimizing the data platform that powers Terminal's API, managing everything from data streaming and storage to analytics features at petabyte scale. You should be comfortable navigating both data and backend engineering, with a solid foundation in software development. You'll work with advanced data architectures, including Iceberg, Flink, and Kafka, tackling large-scale challenges and contributing to core product development using Java and Python. If you're excited by the opportunity to shape a high-impact platform and tackle diverse engineering problems, we'd love to hear from you. WHAT YOU WILL DO - Own projects aimed at enhancing data replication, storage, enrichment, and reporting capabilities. - Build and optimize efficient streaming and batch data pipelines that support our core product and API. - Design scalable storage solutions
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TITLE: Sr. Software Development Engineer, EMR
EMPLOYER: Amazon
LOCATION: East Palo Alto, California, USA (unspecified)
SALARY: $193K-$262K
POSTED: 2026-05-28
PARENTAL_LEAVE_WEEKS: 6 (not source-backed)
NON_BIRTH_PARENT_LEAVE_WEEKS: 6 (not source-backed)
K401_MATCH: yes (not source-backed)
FERTILITY_FAMILY_BUILDING_BENEFITS: yes (not source-backed)
ADOPTION_ASSISTANCE_OFFERED: yes (not source-backed)
MENTAL_HEALTH_SUPPORT: yes (not source-backed)
CHILDCARE_SUBSIDY: yes (not source-backed)
APPLY_URL: https://www.amazon.jobs/en/jobs/10433558/sr-software-development-engineer-emr
EXCERPT: Sr. Software Development Engineer, EMR East Palo Alto, California, USA Do you enjoy working on large-scale distributed systems? Do you want to influence how the world interacts with and analyzes large data sets across a number of industries and use cases? Amazon EMR provides a managed framework that makes it easy, fast, and cost-effective to process vast amounts of data across dynamically scalable Amazon EC2 instances using popular distributed Hadoop frameworks such as Apache Spark, HBase, Presto, and Flink, and interact with data in other AWS data stores such as Amazon S3 and Amazon DynamoDB. Our customers in a variety of industries - eg: real estate, travel, finance and gaming - use EMR to process and interact with their vast datasets to fulfill existing and uncover new business needs. We are looking for talented engineers to help us develop innovative features for EMR to enable an interactive, secure and seamless experience for our growing customer base. One such feature is our next-generation cluster and work management system designed with an emphasis on speed, reliability and security. We'll trust you to design and implement critical high performance, large scale services and libraries in collaboration with other internal development teams to solve key business problems with minimal technical supervision. We'll be looking to you to evangelize SDLC best practices across the organization, help refine operational procedures and workflows, and influence architectural decisions to achieve our technical and business goals. In this role, you will have the opportunity to collaborate with and learn
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TITLE: Software Engineer (L5) - Experimentation Platform
EMPLOYER: Netflix
LOCATION: USA - Remote (remote)
SALARY: $380K-$610K
POSTED: 2026-03-27
NON_BIRTH_PARENT_LEAVE_WEEKS: 8 (not source-backed)
K401_MATCH: yes (source-backed)
K401_SOURCE_URL: https://www.askebsa.dol.gov/FOIA%20Files/2024/Latest/F_SCH_H_2024_Latest.zip
MENTAL_HEALTH_SUPPORT: yes (not source-backed)
APPLY_URL: https://explore.jobs.netflix.net/careers/job/790315090936?microsite=netflix.com
EXCERPT: Software Engineer (L5) - Experimentation Platform USA - Remote At Netflix, our mission is to entertain the world. Together, we are writing the next episode - pushing the boundaries of storytelling, global fandom and making the unimaginable a reality. We are a dream team obsessed with the uncomfortable excitement of discovering what happens when you merge creativity, intuition and cutting-edge technology. Come be a part of what's next. At Netflix, our mission is to entertain the world, and experimentation is how we learn, innovate, and continuously improve the product for hundreds of millions of members. The Experience Foundation team in Experimentation Platform builds and operates the core systems that power A/B test allocation, adaptive experimentation, and feature rollouts across Netflix. Our services are on the critical path for product experiences on every device, and must be highly available, low latency, and resilient. We are looking for a Senior Distributed Systems Engineer to design, build, and operate the next generation of experimentation and feature flag infrastructure at Netflix. What You'll Do Build and evolve critical experimentation and feature flag services Design and implement high-scale, low-latency services for experiment allocation and feature flag evaluation Advance core distributed systems for decentralized allocation, rules evaluation, and real-time decisioning Own reliability and performance Participate in on-call, lead incident response, and drive long-term reliability improvements Instrument services with rich observability (metrics, logs, traces) and continuously tune for resilience, performance, and scalability Shape data and integration surfaces Collaborate with teams using technologies like Flink, Spark, Elasticsearch, and
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TITLE: Senior Machine Learning Engineer
EMPLOYER: RTB House
LOCATION: Warsaw, Masovian Voivodeship, Poland (unspecified)
SALARY: Not disclosed
POSTED: 2026-06-07
APPLY_URL: https://job-boards.eu.greenhouse.io/rtbhouse/jobs/4781140101
EXCERPT: Senior Machine Learning Engineer Warsaw, Masovian Voivodeship, Poland Location: Poland We Are: RTB House is a global company that provides state-of-the-art marketing technologies for top brands and agencies worldwide. Its proprietary ad-buying engine is the first in the world to be powered entirely by Deep Learning algorithms, enabling advertisers to generate outstanding results and reach their goals at every stage of the funnel. Founded in 2012, and now operating in 90+ markets, RTB House has always been private-by-design. It embraces first-party advertising and a relentless approach to innovation. RTB House offers end-to-end Deep Learning-powered AdTech products and solutions to maximize conversion, drive new customer acquisition, create engagement, and fuel long-term demand for a global base of clients. Desired Experience: Expertise in designing and implementing complex IT systems. Ability to develop user-friendly, versatile tools. Proficiency in at least one programming language, such as Python, C++, Java, or Scala, along with expertise in Linux. Strong skills in evaluating and optimizing system performance, from initial design through to production troubleshooting. Deep understanding of algorithms and data structures. Initiative and creativity to improve existing solutions. Ability to work effectively both within and across teams. C1 level in Polish Additional Advantages: Previous experience in the field of Machine Learning is not required, but would be an asset. Solid foundation in mathematics. Experience with GPU programming and Machine Learning frameworks such as Torch, PyTorch, or TensorFlow. Proven experience with distributed systems. Familiarity with Big Data technologies such as Hadoop, Kafka, Storm, Spark, or Flink. Hands-on experience
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TITLE: Senior Software Engineer, Apple Services Engineering
EMPLOYER: Apple
LOCATION: Cupertino, United States of America (unspecified)
SALARY: $181K-$318K
POSTED: 2026-05-29
K401_MATCH: yes (source-backed)
K401_SOURCE_URL: https://www.askebsa.dol.gov/FOIA%20Files/2024/Latest/F_SCH_H_2024_Latest.zip
APPLY_URL: https://jobs.apple.com/en-us/details/200665838/senior-software-engineer-apple-services-engineering?team=SFTWR
EXCERPT: Senior Software Engineer, Apple Services Engineering Cupertino, United States of America Imagine what you could do here. At Apple, new ideas have a way of becoming extraordinary products, services, and customer experiences very quickly. Bring passion and dedication to your job and there's no telling what you can accomplish. Would you like the stimulation and challenges of building elite, extraordinary scalable systems that power App Store, Apple Music, Apple TV+, Apple Fitness+, Apple Arcade and many more? Then this is the opportunity for you at Apple! We strive to provide a flawless experience for millions of customers and developers. We are seeking a Software Engineer to join Apple Services Engineering (ASE) who brings deep passion for building distributed large scale data processing systems, frameworks and platforms using big data technologies. You will partner with Apple TV and Video teams and work collaboratively to make a significant impact on Apple TV customers. At Apple, data is our first-class citizen and we build the systems that make it extraordinary. We operate at petabyte scale, engineering distributed platforms that power real-time insights, fuel business decisions, and directly shape the experiences behind Apple TV and Sports products. Our work sits at the intersection of massive-scale data infrastructure and cutting-edge AI, and no two days look the same. One day, you're architecting real-time streaming pipelines with Apache Flink, processing millions of events per second with sub-second latency. The next, you're building intelligent AI Agentic workflows and MCP servers that unlock new dimensions of automation and
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TITLE: Software Development Engineer III Data
EMPLOYER: Meesho
LOCATION: Bangalore, Karnataka (unspecified)
SALARY: Not disclosed
POSTED: 2025-08-04
APPLY_URL: https://jobs.lever.co/meesho/7bb1de7e-8756-412b-8c71-0ba40863edc8
EXCERPT: Software Development Engineer III Data Bangalore, Karnataka When 5% of Indian households shop with us, it's important to build data-backed, resilient systems to manage millions of orders every day. We've done this - with zero downtime! 😎 Sounds impossible? Well, that's the kind of Engineering muscle that has helped Meesho become the e-commerce giant that it is today. We value speed over perfection, and see failures as opportunities to become better. We've taken steps to inculcate a strong 'Founder's Mindset' across our engineering teams, making us grow and move fast. We place special emphasis on the continuous growth of each team member - and we do this with regular 1-1s and open communication. Tech Culture We have a unique tech culture where engineers are seen as problem solvers. The engineering org is divided into multiple pods and each pod is aligned to a particular business theme. It is a culture driven by logical debates & arguments rather than authority. At Meesho, you get to solve hard technical problems at scale as well as have a significant impact on the lives of millions of entrepreneurs. You are expected to contribute to the Solutioning of product problems as well as challenge existing solutions. Meesho's user base has grown 4x in the last 1 year and we have more than 50 million downloads of our app. Here are a few projects we have completed last year to scale oursystems for this growth: ● We have developed API gateway aggregators using frameworks like Hystrix
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TITLE: Director, Data Platform Engineering
EMPLOYER: Lila Sciences
LOCATION: San Francisco, CA USA (unspecified)
SALARY: $232K-$346K
POSTED: 2026-04-01
LEARNING_BUDGET_OFFERED: yes (not source-backed)
APPLY_URL: https://job-boards.greenhouse.io/lilasciences/jobs/4202443009
EXCERPT: Director, Data Platform Engineering San Francisco, CA USA Your Impact at LILA Lila is seeking a highly motivated and experienced engineering leader to lead a team responsible for our Lila's product data platform. You will own the data platform and infrastructure end-to-end - architecture, delivery, reliability, and developer/data scientist experience. Our mission is to deliver Scientific Super Intelligence through a reliable, scalable, and self-service infrastructure for data ingestion, storage, processing, and interaction - enabling AI/ML, product teams, and scientists to build data-intensive applications with confidence and speed. Our platform supports analytical and machine learning workloads across Lila, serving autonomous DBTL cycles, instrument data pipelines, and AI inference workflows. You will be responsible for building and leading a team of talented engineers, driving technical strategy, and ensuring the scalability and performance of our data management and data serving capabilities of our Data Platform. You will work closely with data scientists, data engineers, lab scientists, and product teams to understand their needs and deliver innovative solutions that leverage the power of cutting edge data processing technologies. What You'll Be Building - Team Leadership: Build, mentor, and manage a high-performing team of 8-12 data engineering experts. Evaluate and adopt modern data infrastructure - including real-time streaming (Kafka, Flink), columnar engines (DuckDB, ClickHouse), lake house, and cloud-native object storage architectures; Foster a culture of collaboration, innovation, and continuous improvement; Provide technical guidance and mentorship to team members, promoting their professional growth; Conduct performance reviews, provide feedback, and identify opportunities for training and development; Manage
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TITLE: Software Engineer, Machine Learning Platform
EMPLOYER: Chime
LOCATION: San Francisco, CA, USA (unspecified)
SALARY: $187K-$259K
POSTED: 2026-05-15
PARENTAL_LEAVE_WEEKS: 24 (not source-backed)
K401_MATCH: yes (not source-backed)
FERTILITY_FAMILY_BUILDING_BENEFITS: yes (not source-backed)
APPLY_URL: https://boards.greenhouse.io/chime/jobs/8505460002?gh_jid=8505460002
EXCERPT: Software Engineer, Machine Learning Platform San Francisco, CA, USA About the role Chime's Machine Learning Platform (MLP) team builds and operates the infrastructure, tooling, and developer experience that powers machine learning across the company. We enable data scientists and ML engineers to develop, train, deploy, and monitor models reliably and efficiently. As a Machine Learning Platform Engineer, you will design and build scalable systems that support model training, feature computation, real-time inference, and experimentation. You'll work at the intersection of distributed systems, cloud infrastructure, and applied machine learning. This role focuses on building robust foundations that allow ML teams to move quickly while maintaining reliability, governance, and cost efficiency. The base salary offered for this role and level of experience will begin at $187,000.00 and goes up to $259,000.00. Full-time employees are also eligible for a bonus, competitive equity package, and benefits. The actual base salary offered may be higher, depending on your location, skills, qualifications, and experience. In this role, you can expect to - Design, build, and operate scalable ML infrastructure on AWS - Develop distributed training and batch processing systems using Ray - Build and maintain infrastructure-as-code using Terraform - Support and evolve the feature store and feature pipelines - Develop data ingestion and streaming systems (e.g., Kinesis, Kafka, Flink, Spark, or similar technologies) - Improve CI/CD workflows for ML models and platform components - Enhance observability, reliability, and cost visibility across ML workloads - Partner closely with Data Science and ML Engineering teams to improve developer
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TITLE: Software Dev Engineer, Cradle (Accuro)
EMPLOYER: Amazon
LOCATION: Detroit, Michigan, USA (unspecified)
SALARY: $144K-$194K
POSTED: 2026-06-01
PARENTAL_LEAVE_WEEKS: 6 (not source-backed)
NON_BIRTH_PARENT_LEAVE_WEEKS: 6 (not source-backed)
K401_MATCH: yes (not source-backed)
FERTILITY_FAMILY_BUILDING_BENEFITS: yes (not source-backed)
ADOPTION_ASSISTANCE_OFFERED: yes (not source-backed)
MENTAL_HEALTH_SUPPORT: yes (not source-backed)
CHILDCARE_SUBSIDY: yes (not source-backed)
APPLY_URL: https://www.amazon.jobs/en/jobs/10436224/software-dev-engineer-cradle-accuro
EXCERPT: Software Dev Engineer, Cradle (Accuro) Detroit, Michigan, USA Build exabyte-scale data processing engines with leading-edge technology. If you want to work with Spark, Java, Scala, Python, Flink, Beam, and AWS services (EMR, EKS, Kinesis, DynamoDB, SQS) - processing and transforming data across Amazon's data lakes - this is the role for you. About the Team The BDT team builds the platform that connects millions of businesses to hundreds of millions of customers across Amazon's global marketplaces. We enable native SQL, machine learning, and functional transformations using Apache Spark - executing batch, ML, and streaming workloads over schema'd data in S3, and writing curated datasets to front-end caches (DynamoDB, Redis, ElasticSearch). Our platform lets customers transition seamlessly between Streaming, Batch, Cache, and Analytics to meet demand at Amazon scale. We are a team that relentlessly innovates, keeps customers at the center, and delivers results with velocity while continuously raising the bar. What We're Looking For • Background in distributed systems development • Solid technical ability and passion for building at scale • Good communication skills and a bias for action Motivation to deliver results in a fast-paced, high-impact environment Key job responsibilities • Design & Delivery - Lead the design and delivery of major features and re-architecture of significant technology components • Quality & Operational Excellence - Ensure software maintains a high bar for quality, security, architecture, and operational excellence • Problem Solving - Identify root causes of widespread issues - including those limiting innovation and delivery velocity - across systems
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TITLE: Senior Software Engineer
EMPLOYER: LanceDB
LOCATION: HQ | Remote (remote)
SALARY: Not disclosed
POSTED: 2026-06-10
APPLY_URL: https://jobs.ashbyhq.com/lancedb/9454302d-3d40-4ed4-832e-c1590ff497fc
EXCERPT: Senior Software Engineer HQ | Remote ABOUT LANCEDB LanceDB http://lancedb.com/ is the preeminent data platform for multimodal AI use cases. From hyper-scalable vector search to advanced retrieval for RAG, from streaming training data to interactive exploration of large-scale AI datasets, LanceDB is the best foundation for your AI application, and powers some of the most groundbreaking applications and challenging requirements today. ABOUT THE ROLE We're looking for a Senior Software Engineer to help expand the reach of Lance and LanceDB within the broader data infrastructure ecosystem. You'll work at the intersection of high-performance computing, big data, and open-source systems. You will contribute scale and performance improvements, integrations with the wider data and AI ecosystem, simplifying distributed operations, and usability and maintainability enhancements. YOU'LL BE RESPONSIBLE FOR - Designing and maintaining efficient distributed Lance dataset operations - Building efficient indices to enable predicate pushdown and accelerate queries in Spark, Ray, or Trino - Working on table formats, data encodings, and various aspects of the Lance format in Rust - Driving open-source community efforts to integrate the Lance format with Spark, Hive Metastore, Presto, Trino, Ray, and other data infrastructure systems - Operating and improving internal data processing infrastructure - Promoting the Lance format in open-source communities and at Big Data conferences REQUIREMENTS - 10+ years of experience building high-performance databases, big data systems, or large-scale data services - Deep understanding of internals of open-source Big Data or AI training systems (e.g., Hadoop, Spark, Flink, Ray, Iceberg, Delta Lake, Hudi, ClickHouse, Trino,
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TITLE: Software Development Engineer, Amazon Data Firehose
EMPLOYER: Amazon
LOCATION: East Palo Alto, California, USA (unspecified)
SALARY: $165K-$224K
POSTED: 2026-05-28
PARENTAL_LEAVE_WEEKS: 6 (not source-backed)
NON_BIRTH_PARENT_LEAVE_WEEKS: 6 (not source-backed)
K401_MATCH: yes (not source-backed)
FERTILITY_FAMILY_BUILDING_BENEFITS: yes (not source-backed)
ADOPTION_ASSISTANCE_OFFERED: yes (not source-backed)
MENTAL_HEALTH_SUPPORT: yes (not source-backed)
CHILDCARE_SUBSIDY: yes (not source-backed)
APPLY_URL: https://www.amazon.jobs/en/jobs/10433603/software-development-engineer-amazon-data-firehose
EXCERPT: Software Development Engineer, Amazon Data Firehose East Palo Alto, California, USA Come build the future of data streaming with the Amazon Data Firehose (ADF) team! Amazon Data Firehose is a fully managed service for capturing, transforming, and delivering streaming data to destinations like Amazon S3, S3 Tables, Redshift, Splunk, and OpenSearch Service. It automatically scales to handle incoming data, requires no application to be written, and can perform transformations before delivery, such as format conversion or dynamic partitioning. Firehose works with billions of events and petabytes of data each day in support of many thousands of customers running mission-critical real-time applications. We are looking for a Software Development Engineer for the Amazon Data Firehose Team. The team owns all aspects of the Firehose service, including requirements, architecture, design & development, quality assurance, deployment and operations. As an engineer in this team, you will learn the ins and outs of building a highly available, scalable, distributed and secure system that uses all the modern cloud computing paradigms, techniques and tools. The ideal candidate has experience designing large-scale systems supporting millions of transactions per second, enjoys solving complex software problems, and possesses skills to innovate, design and solve problems at scale. Ideally you have an in-depth understanding of streaming data technologies like Amazon Kinesis or Apache Kafka, and experience with open-source data processing frameworks like Apache Spark, Apache Flink, or Apache Storm. Your responsibilities will include collaborating with other engineers to build a large scale AWS service, and work with senior leaders
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TITLE: Senior Data Platform Engineer
EMPLOYER: SumUp
LOCATION: Berlin, Germany (unspecified)
SALARY: Not disclosed
POSTED: 2026-01-28
APPLY_URL: https://sumup.com/careers/positions/8364210002?gh_jid=8364210002
EXCERPT: Senior Data Platform Engineer Berlin, Germany As part of the Platform tribe, you will help build a self-service, AI-Ready Data Platform. The Data Platform team supports our next big bets: Data, AI, and real-time analytics. We are a team focused on building scalable, reliable infrastructure to enable our global data community. What you'll do - Build and maintain best-in-class data infrastructure for critical processes. - Develop features that strengthen self-service, including for ETL and orchestration. - Optimise processes to use compute more efficiently and reduce cost. - Automate operations so the platform stays highly available. - Contribute to the design and implementation of new services. You'll be a strong fit if you - Have experience with infrastructure as code and containerisation (e.g. Terraform, Helm, Docker, Kubernetes). - Have used modern query engines (e.g. Snowflake, Databricks, BigQuery, Trino). - Have worked with modern data orchestration tools (e.g. Airflow, Dagster). - Are proficient in at least one of our main languages: Python or Go. - Bring a pragmatic, team-first mindset. - Are self-motivated, work well independently, and can balance stakeholder needs. Nice to have - Experience building and operating performant API layers. - Experience with dbt for transform, test, and documentation workflows. - Query optimization at scale. - Real-time streaming (e.g. Kafka, Flink, StarRocks, Pinot, Druid, ClickHouse). - Experience with systems at petabyte scale. - Experience implementing AI-enabled systems (e.g. agentic SRE, AI automation). About SumUp We believe in the everyday hero. Small business owners are at the heart of all we
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TITLE: Senior Data Developer - Streaming
EMPLOYER: MaintainX
LOCATION: Montreal, Toronto (unspecified)
SALARY: Not disclosed
POSTED: 2026-04-03
APPLY_URL: https://job-boards.greenhouse.io/maintainx/jobs/5099288007
EXCERPT: Senior Data Developer - Streaming Montreal, Toronto MaintainX is the world's leading AI-powered maintenance and asset management platform, serving 13,000+ customers including Duracell, Shell, Cintas, and Brenntag. We raised $150M in Series D funding led by Bessemer Venture Partners and Bain Capital Ventures, bringing our total funding to $254M. We were named to the Forbes 2025 Cloud 100 , the definitive ranking of the top 100 private cloud companies in the world. We're growing fast and hiring the engineering talent to match. We are seeking a Senior Data Developer with a strong background in event streaming to join our growing team. You will help build and maintain the data streaming platform that directly powers the MaintainX product and enables internal analytics, while developing streaming platform capabilities and tooling used by engineering teams daily. You will own the data platform's CDC-streaming service, including runtime, reliability, capabilities, deployment, governance, and developer tooling. What you'll do: - Build and operate the end-to-end CDC streaming platform (Debezium, Kafka, Flink) that produce near-real-time data products - Own the streaming infrastructure (Kafka, Flink) using Terraform and Atmos IaC, including multi-region deployments - Build and maintain CI/CD pipelines for the CDC-streaming platform - Define and enforce pipeline reliability standards - Instrument and maintain end-to-end observability for the streaming pipeline - Build self-service tooling and runbooks for onboarding new CDC sources, including automation scripts, snapshot reconciliation checks, and operational documentation - Collaborate with engineering teams to expand the CDC footprint, support new streaming data use cases, and evolve
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TITLE: Software Engineer, Apple Services Engineering
EMPLOYER: Apple
LOCATION: Cupertino, United States of America (unspecified)
SALARY: $147K-$272K
POSTED: 2026-04-17
K401_MATCH: yes (source-backed)
K401_SOURCE_URL: https://www.askebsa.dol.gov/FOIA%20Files/2024/Latest/F_SCH_H_2024_Latest.zip
APPLY_URL: https://jobs.apple.com/en-us/details/200642870/software-engineer-apple-services-engineering?team=SFTWR
EXCERPT: Software Engineer, Apple Services Engineering Cupertino, United States of America Imagine what you could do here. At Apple, new ideas have a way of becoming extraordinary products, services, and customer experiences very quickly. Bring passion and dedication to your job and there's no telling what you can accomplish. Would you like the stimulation and challenges of building elite, extraordinary scalable systems that power App Store, Apple Music, Apple TV+, Apple Fitness+, Apple Arcade and many more? Then this is the opportunity for you at Apple! We strive to provide a flawless experience for millions of customers and developers. We are seeking a Software Engineer to join Apple Services Engineering (ASE) who brings deep passion for building distributed large scale data processing systems, frameworks and platforms using big data technologies. You will partner with Apple TV and Video teams and work collaboratively to make a significant impact on Apple TV customers. At Apple, data is our first-class citizen and we build the systems that make it extraordinary. We operate at petabyte scale, engineering distributed platforms that power real-time insights, fuel business decisions, and directly shape the experiences behind Apple TV and Sports products. Our work sits at the intersection of massive-scale data infrastructure and cutting-edge AI, and no two days look the same. One day, you're architecting real-time streaming pipelines with Apache Flink, processing millions of events per second with sub-second latency. The next, you're building intelligent AI Agentic workflows and MCP servers that unlock new dimensions of automation and decision-making.
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TITLE: Senior Software Engineer - Java Streaming - Connectors
EMPLOYER: ClickHouse
LOCATION: United States (Remote) (remote)
SALARY: $126K-$186K
POSTED: 2026-05-22
APPLY_URL: https://job-boards.greenhouse.io/clickhouse/jobs/6000796004
EXCERPT: Senior Software Engineer - Java Streaming - Connectors United States (Remote) About ClickHouse Recognized on the 2025 Forbes Cloud 100 list, ClickHouse is one of the most innovative and fast-growing private cloud companies. With more than 3,000 customers and ARR that has grown over 250 percent year over year, ClickHouse leads the market in real-time analytics, data warehousing, observability, and AI workloads. The company's sustained, accelerating momentum was recently validated by a $400M Series D financing round. Over the past three months, customers including Capital One, Lovable, Decagon, Polymarket, and Airwallex have adopted the platform or expanded existing deployments. These customers join an established base of AI innovators and global brands such as Meta, Cursor, Sony, and Tesla. We're on a mission to transform how companies use data. Come be a part of our journey! The Connectors team is the bridge between ClickHouse and the entire data ecosystem. We build and maintain the connectors that make ClickHouse accessible to millions of developers and data practitioners worldwide. Our work spans from low-level database integrations to high-level data visualization plugins, ensuring that ClickHouse seamlessly integrates with the tools our users already know and love. We're responsible for the official data connectors (Kafka, dbt, Spark, Flink, Beam, Fivetran), and integrations with leading visualization platforms (Grafana, Tableau, Power BI, Metabase). What will you do? As a Senior Software Engineer specializing in JVM-based frameworks, you'll serve as a core contributor, owning and maintaining critical parts of ClickHouse's Data engineering ecosystem. This role sits at the
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TITLE: 售前解决方案工程师
EMPLOYER: Alluxio
LOCATION: China (unspecified)
SALARY: Not disclosed
POSTED: 2026-04-20
APPLY_URL: https://jobs.lever.co/alluxio/dd221165-f15d-467d-8dcc-9c0c66c6a4bd
EXCERPT: 售前解决方案工程师 China 工作职责： 1.与潜在客户的技术团队沟通，深入理解其需求，基于技术需求筛选并锁定目标客户群体。 2.设计并展示基于 Alluxio的解决方案，设计并完成POC。 3.协同销售团队进行市场开拓，拜访现有客户及潜在客户，收集反馈，洞察市场与技术趋势。 4.向产品团队传递客户需求及市场洞察，推动客户需求与 Alluxio的roadmap保持一致。 任职资格： 1.具备7年以上AI/ML 领域的开发、解决方案架构设计或技术架构设计的经验。 2.熟悉 Java 和 Python，有 Shell 脚本和 Go 语言经验者优先。 3.满足以下至少两项要求： 1）熟悉大数据生态系统，精通至少一种计算框架（如 Hadoop/Spark/Presto/Impala/Flink），熟悉一种及以上存储系统（如 HDFS/S3/Ceph），并具备实际开发或解决方案设计经验。 2）熟悉 AI/ML 框架（如 TensorFlow、PyTorch ），有相关工作经验。 3）熟悉 Kubernetes，具备基于 K8s 的开发经验或解决方案设计经验。 4.熟悉 Linux与 Docker，具备实际操作经验。 5.自驱力强、富有团队精神、学习能力快。
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TITLE: Director, Data Engineering — Customer Success Score
EMPLOYER: Salesforce
LOCATION: California - San Francisco; Washington - Seattle (unspecified)
SALARY: $238K-$345K
POSTED: 2026-06-04
PARENTAL_LEAVE_WEEKS: 26 (not source-backed)
NON_BIRTH_PARENT_LEAVE_WEEKS: 12 (not source-backed)
K401_MATCH: yes (source-backed)
K401_SOURCE_URL: https://www.askebsa.dol.gov/FOIA%20Files/2024/Latest/F_SCH_H_2024_Latest.zip
APPLY_URL: https://careers.salesforce.com/en/jobs/jr342701/director-data-engineering-customer-success-score/
EXCERPT: Director, Data Engineering — Customer Success Score California - San Francisco; Washington - Seattle About the Role We're building data products that will define Salesforce's next era of agentic intelligence - powering smarter, adaptive, and self-optimizing product experiences at enterprise scale. As Director of Data Engineering, you'll set the strategic direction, architectural vision, and organizational execution for the data systems behind Customer Success Score (CSS), one of Salesforce's most critical product intelligence assets. This is a high-visibility leadership role for a strategic technologist who thrives at the intersection of data, AI, and platform engineering. What You'll Do Platform Strategy & Roadmap Own the roadmap for the CSS data platform, aligning engineering investment with Salesforce's agentic and AI-first product strategy Establish architectural principles and governance standards for telemetry, semantic modeling, and metadata-driven discovery at enterprise scale Drive convergence across product analytics, ML infrastructure, and AI data foundations - breaking down silos and creating shared organizational leverage Represent data engineering at the executive level; shape organizational priorities and secure resources for strategic initiatives Technical Architecture & Excellence Set and uphold the technical bar for distributed data systems - including fault-tolerant batch and streaming architectures (Spark, Trino, Flink, Kafka, dbt, Snowflake) Define engineering standards across software quality, CI/CD, observability, and reliability Guide platform evolution to support autonomous agent reasoning, real-time adaptive decisioning, and AI-native product experiences Champion semantic consistency, metric governance, and trusted signal definition across the organization Evaluate emerging technologies and drive adoption decisions that extend the platform's strategic value Organizational Leadership
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TITLE: Senior Staff Software Engineer, Indexing & Retrieval Platform
EMPLOYER: Reddit, Inc.
LOCATION: Remote - United States (remote)
SALARY: $279K-$391K
POSTED: 2026-04-22
K401_MATCH: yes (not source-backed)
MENTAL_HEALTH_SUPPORT: yes (not source-backed)
APPLY_URL: https://job-boards.greenhouse.io/reddit/jobs/7844238
EXCERPT: Senior Staff Software Engineer, Indexing & Retrieval Platform Remote - United States Reddit is a community of communities. It's built on shared interests, passion, and trust, and is home to the most open and authentic conversations on the internet. Every day, Reddit users submit, vote, and comment on the topics they care most about. With 100,000+ active communities and approximately 126 million daily active unique visitors, Reddit is one of the internet's largest sources of information. For more information, visit www.redditinc.com . Team The ML Indexing & Retrieval Platform team at Reddit is responsible for building and scaling the core infrastructure that powers machine learning driven recommendations. We design and maintain systems for ML data ingestion, low-latency retrieval services, and end-to-end lifecycle management of data. With a focus on performance, reliability, and scalability, we enable real-time access to high-quality data that supports a wide range of applications, including Content Understanding, Semantic, Lexical retrieval & GenAI applications. How You'll Have Impact You'll lead the development of next-generation ML Indexing & Retrieval systems, owning the full lifecycle from ideation to production and going beyond incremental improvements to reimagine core platform capabilities. As part of a high-impact, cross-functional team, you'll solve complex technical challenges to build scalable, reliable platforms that empower developers to efficiently ship critical ML features. Languages: Go, Java, Python, or any object oriented programming language Frameworks: Flink, Airflow, Spark for large scale batch & stream processing Databases: Familiarity with Vector, Lexical & Key-Value Databases Tools: Kubernetes, Docker, AWS, GCP What
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TITLE: Principal Software Engineer, Apple Data Platform
EMPLOYER: Apple
LOCATION: Cupertino, United States of America (unspecified)
SALARY: $212K-$386K
POSTED: 2026-02-02
K401_MATCH: yes (source-backed)
K401_SOURCE_URL: https://www.askebsa.dol.gov/FOIA%20Files/2024/Latest/F_SCH_H_2024_Latest.zip
APPLY_URL: https://jobs.apple.com/en-us/details/200644893/principal-software-engineer-apple-data-platform?team=SFTWR
EXCERPT: Principal Software Engineer, Apple Data Platform Cupertino, United States of America The Apple Data Platform team powers analytics and machine learning across Apple. Our mission is to deliver cutting-edge, reliable, and user-friendly infrastructure for data ingestion, storage, processing, and interaction, enabling teams to build data-intensive applications with ease and success. Our team provides a fully managed Lakehouse solution powered by Apache Iceberg and the Iceberg REST Catalog, interactive querying using Trino and Druid, and data processing using Apache Spark & Flink. Our platform supports both analytical and machine learning workloads across Apple, serving key products and organizations including Siri, Search, Media, iCloud, News, Apple Intelligence, and Maps. We invest in open source technologies, and continuously innovate to meet evolving customer needs and market trends. We are seeking Principal-level engineers passionate about building world-class infrastructure products. In this role, you will serve as a technical leader on the Data Platform team, guiding team members in both technical and professional growth. You will collaborate closely with cross-functional teams to lead the planning, execution, and success of technical projects, with a focus on enhancing the experience for Apple's internal customers. The ideal candidate will have outstanding communication skills, proven data infrastructure/platform design and implementation capabilities, strong business acumen, and an innate drive to deliver results. They will be a self-starter, comfortable with ambiguity and will enjoy working in a fast-paced dynamic environment. Build and operate Apple's largest data platform supporting exabyte scale. Scale and operationalize our largest multi-tenant, highly secure, and compliant Data
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TITLE: [Growth Engineering] Senior Staff Back-end Engineer I
EMPLOYER: Coupang
LOCATION: Shanghai, China (unspecified)
SALARY: Not disclosed
POSTED: 2026-06-11
APPLY_URL: https://www.coupang.jobs/en/jobs/?gh_jid=7959526
EXCERPT: [Growth Engineering] Senior Staff Back-end Engineer I Shanghai, China In Growth Engineering, our goal is to increase the number of transacting Customers while also growing their purchase frequency and lifetime value. We build core platforms and services that power Coupang's growth and marketing efficiency. Various platforms under our portfolio include Search Advertising Platform, Affiliate Platform, Display targeting & re-targeting Platform, CRM, Audience Platform, Push Marketing Platform, and other core marketing services for user profile, landing, tracking & attribution. ML opportunities across these portfolios include targeting, personalization, product & offer recommendations, budget optimization, real-time bidding, creative optimization, fraud detection, and various others. As a Senior Staff Engineer within Coupang's Growth Engineering team, you will be instrumental in architecting and developing a next-generation CRM platform. You will lead initiatives to ensure the platform delivers an end-to-end campaign management including Campaign Plan, Target Customer Selection, Promotion optimization, Product Selection, Creative Management, Landing Page Creation and Campaign Performance Measurement. Design a real-time decision engine to empower downstream services across the Growth Engineering ecosystem. Your expertise will directly contribute to advancing Coupang's data-driven capabilities, aligning technical innovation with strategic business objectives. Key Responsibilities: - Design, develop, and automate large-scale, high-performance streaming data processing systems to drive business growth and enhance product experience - Build scalable infrastructure and pipelines using best-in-class software engineering practices - Ensure the platform supports high availability, reliability, and low-latency. - Take full ownership end to end: from solution investigation/benchmark, development to operational health - Establish and execute short and long-term architectural
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TITLE: Software Development Engineer II, Amazon Security Data Engineering
EMPLOYER: Amazon
LOCATION: Herndon, Virginia, USA (unspecified)
SALARY: $144K-$194K
POSTED: 2026-06-11
PARENTAL_LEAVE_WEEKS: 6 (not source-backed)
NON_BIRTH_PARENT_LEAVE_WEEKS: 6 (not source-backed)
K401_MATCH: yes (not source-backed)
FERTILITY_FAMILY_BUILDING_BENEFITS: yes (not source-backed)
ADOPTION_ASSISTANCE_OFFERED: yes (not source-backed)
SURROGACY_ASSISTANCE_OFFERED: yes (not source-backed)
MENTAL_HEALTH_SUPPORT: yes (not source-backed)
CHILDCARE_SUBSIDY: yes (not source-backed)
APPLY_URL: https://www.amazon.jobs/en/jobs/10446828/software-development-engineer-ii-amazon-security-data-engineering
EXCERPT: Software Development Engineer II, Amazon Security Data Engineering Herndon, Virginia, USA If you thrive in a fast-paced, innovative environment and are interested in pushing the boundaries of what's possible with big data, cloud computing, and security analytics, Amazon Security Platform Engineering is the place for you. We support a suite of services and products to ingest, optimize and query petabyte scale datasets efficiently, and enable critical security use cases such as incident response, security analytics, threat-hunting, and low-latency detection. Successful candidates for this position will possess: Strong software engineering fundamentals, including expertise in object-oriented design, algorithms, and data structures Experience building and operating scalable, fault-tolerant, distributed systems Proficiency in Java, Scala or Python with a solid understanding of multi-threading and memory management Knowledge of big data compute engines such as open table formats like Apache Iceberg, and Apache Spark, Trino, Flink. Excellent verbal and written communication skills Self-motivation and the ability to deliver high-quality results in a fast-paced environment. Key job responsibilities Build and support Amazon Security's Data Lake, consisting of services for data cataloging, optimization, compaction, re-organization, and indexing at petabyte scale. Drive technical vision and contribute to the roadmap for systems that manage petabyte-scale data catalogs supporting Apache Iceberg, AWS Glue, Parquet, and other formats. Design and implement distributed systems for data optimization that balance multiple latency scenarios from minute-level batch detections to month-spanning threat hunting queries. Modernize security intelligence platform's data catalog and governance services to provide customers with rule-based access controls and fine-grained data access. Build
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TITLE: Member of Technical Staff (Software Engineer, Data Platform)
EMPLOYER: Perplexity
LOCATION: San Francisco, California, United States, New York City, Palo Alto (unspecified)
SALARY: Not disclosed
POSTED: 2026-06-03
APPLY_URL: https://jobs.ashbyhq.com/perplexity/2e73bc78-684c-47c5-95df-e9973a10e0b6
EXCERPT: Member of Technical Staff (Software Engineer, Data Platform) San Francisco, California, United States, New York City, Palo Alto About the Role The Data Platform team owns the end-to-end data lifecycle at Perplexity, from ingestion through processing, storage, and serving, powering product features, analytics, experimentation, AI workloads, and the company's data lake. The team defines the architecture for batch and streaming systems, the orchestration and observability stack, and a self-serve data platform, while thoughtfully combining platforms such as Databricks and Snowflake with open-source technologies including Spark, Kafka, Flink, Airflow, Dagster, dbt, Iceberg, Delta Lake, and ClickHouse. In this senior/staff role, you will shape architecture, set standards, and drive the long-term technical direction of Perplexity's data ecosystem. Key Responsibilities - Design and operate large-scale batch and streaming data pipelines that directly power Perplexity product features, AI training and evaluation workflows, analytics, and experimentation. - Build event-driven and streaming systems (Kafka, Kinesis, PubSub, or similar) for real-time ingestion, transformation, and delivery, alongside batch frameworks for backfills, aggregations, and offline computation. - Lead the architecture of data orchestration using tools like Airflow or Dagster, owning scheduling, dependency management, retries, SLAs, and end-to-end observability for critical data flows. - Set and enforce guarantees for data correctness, freshness, lineage, and recoverability, designing systems that handle rapid scale growth, partial failures, and evolving schemas without disrupting AI workloads or product experiences. - Build self-serve data platforms that let engineers, data scientists, and analysts safely discover data, define contracts, and create and operate their own pipelines with minimal
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TITLE: Staff Software Engineer, ISPM - India
EMPLOYER: JumpCloud
LOCATION: Bangalore, India - Remote (remote)
SALARY: Not disclosed
POSTED: 2026-06-07
APPLY_URL: https://jobs.lever.co/jumpcloud/7c6b0097-829e-4406-92a0-7ae27f35dde7
EXCERPT: Staff Software Engineer, ISPM - India Bangalore, India - Remote All roles at JumpCloud® are Remote unless otherwise specified in the Job Description. About JumpCloud® JumpCloud® is the AI-powered unified IT management platform designed to secure the modern workforce. By consolidating identity, device, and access management, JumpCloud provides intelligent, secure IT that scales from human users to autonomous AI agents. We help organizations around the globe eliminate complexity and turn AI risk into an optimized advantage, ensuring the right people and agents have secure access to the right resources at all times. JumpCloud is Intelligent, Secure IT. The Problem Statement: The Invisible Identity Perimeter The Opportunity: Founding the ISPM Platform We're looking for: Bonus Points:
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TITLE: Data Engineer I
EMPLOYER: Amazon
LOCATION: Bengaluru, Karnataka, IND (unspecified)
SALARY: Not disclosed
POSTED: 2026-06-11
PARENTAL_LEAVE_WEEKS: 6 (not source-backed)
NON_BIRTH_PARENT_LEAVE_WEEKS: 6 (not source-backed)
FERTILITY_FAMILY_BUILDING_BENEFITS: yes (not source-backed)
ADOPTION_ASSISTANCE_OFFERED: yes (not source-backed)
MENTAL_HEALTH_SUPPORT: yes (not source-backed)
CHILDCARE_SUBSIDY: yes (not source-backed)
APPLY_URL: https://www.amazon.jobs/en/jobs/10446769/data-engineer-i
EXCERPT: Data Engineer I Bengaluru, Karnataka, IND FBA is seeking a Data Engineer to help build AI-native data infrastructure that embeds intelligence as a foundational feature. If you enjoy innovating and want to contribute to an industry-changing business while supporting next-generation intelligent data platforms, this role is for you. Core Responsibilities: AI-Native Infrastructure & Real-Time Processing Support the development of AI-native infrastructure for real-time data processing supporting AI/ML inference, training, and continuous learning Contribute to building semantic layers and knowledge graphs that enable intelligent query routing and context-aware data access Assist in developing infrastructure components for agentic AI systems with multi-agent orchestration Implement GenAI-powered data quality checks, entity resolution pipelines, and metadata management workflows Data-as-a-Product Delivery Contribute to end-to-end data product delivery from ingestion to consumption Support data products with clear SLAs, quality metrics, and customer satisfaction measures Help build self-service platforms with embedded governance, lineage, and discovery Implement data contracts and APIs for reliable, versioned data consumption AWS Infrastructure & Pipeline Engineering Work with AWS resources: EC2, Lambda, S3, Redshift, Kinesis, EMR, SageMaker, Bedrock, Neptune Build and maintain pipelines supporting analysts, data scientists, and AI agents Implement CDC and event-driven architectures for real-time data availability Deploy infrastructure-as-code using CDK/Terraform Required Qualifications 3+ years in data engineering with cloud-native architectures Working knowledge of AWS services (Redshift, S3, Glue, Kinesis, EMR) Experience with real-time streaming technologies (Kafka, Kinesis, or Flink) Exposure to AI/ML infrastructure (SageMaker, Bedrock) Proficiency in Python, SQL, and familiarity with infrastructure-as-code Preferred Qualifications Knowledge graphs (Neptune, Neo4j) and semantic
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TITLE: Senior Software Development Engineer, AI Data Platform
EMPLOYER: Oracle
LOCATION: United States, US (unspecified)
SALARY: $79K-$178K
POSTED: 2026-06-02
PARENTAL_LEAVE_WEEKS: 14 (not source-backed)
NON_BIRTH_PARENT_LEAVE_WEEKS: 14 (not source-backed)
K401_MATCH: yes (source-backed)
K401_SOURCE_URL: https://www.askebsa.dol.gov/FOIA%20Files/2024/Latest/F_SCH_H_2024_Latest.zip
ADOPTION_ASSISTANCE_OFFERED: yes (not source-backed)
APPLY_URL: https://careers.oracle.com/en/sites/jobsearch/job/330553/
EXCERPT: Senior Software Development Engineer, AI Data Platform United States, US Oracle's Forward Deployed Engineer (FDE) team is hiring a Senior Software Development Engineer - AI Data Platform to help global customers unlock the full potential of their data. You will provide expert architectural guidance focused on designing, optimizing, and scaling modern AI/ML-centric data platforms. As a key member of Oracle's Analytics and AI Service Excellence organization, you will work closely with enterprise customers, product management, and engineering to ensure seamless adoption of Oracle AI Data Platform, Gen AI services, and associated cloud technologies. Key Responsibilities: Strong data engineering, HPC, and data science experience. Spark, PySpark, Delta Lake, Parquet, Feature Extraction, MLOps, Flink, with a deep understanding of the distributed systems techniques that make these services work. Full stack development experience. This includes web app development, RESTful APIs, SSE, all the way to deploying your solution. Design, implement, and maintain scalable software components and services that support AI/ML workloads. Build APIs, SDKs, and automation frameworks to streamline the adoption of Oracle AI Data Platform and Gen AI services. Optimize performance, scalability, and reliability of distributed data/AI systems. Collaborate with cross-functional teams (engineering, product, and field) to solve complex technical challenges. Participate in code reviews, testing, and CI/CD to ensure high-quality deliverables. Document technical designs and contribute to knowledge-sharing (e.g., blogs, internal docs, demos). Continuously explore new tools, frameworks, and best practices in AI, cloud, and data engineering. Primary Skills: Experience with LLMs and agentic frameworks (e.g., MCP, LangChain, CrewAI, Semantic Kernel).
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TITLE: Data Engineering
EMPLOYER: Unisys CORP
LOCATION: Bangalore, KA, India (unspecified)
SALARY: Not disclosed
POSTED: 2026-06-04
K401_MATCH: yes (source-backed)
K401_SOURCE_URL: https://www.askebsa.dol.gov/FOIA%20Files/2024/Latest/F_SCH_H_2024_Latest.zip
APPLY_URL: https://unisys.wd5.myworkdayjobs.com/External/job/Bangalore-KA-India/Data-Engineering_REQ571170
EXCERPT: Data Engineering Bangalore, KA, India Bangalore, KA, India What success looks like in this role: End-to-End Pipeline Engineering: Build and automate robust ETL/ELT pipelines using Azure Data Factory (ADF), AWS Glue, and Apache Airflow. · Distributed Computing: Develop large-scale data processing jobs using PySpark and Scala within Databricks or EMR environments. · Streaming & Real-time Integration: Design and implement real-time data ingestion and processing layers using Apache Kafka, Confluent, or AWS Kinesis. · Data Lakehouse : Manage and optimize cloud storage using ADLS Gen2 and S3, implementing ACID transactions with Delta Lake or Apache Iceberg. · Advanced Data Modeling: Design highly performant schemas for cloud data warehouses like Snowflake, Amazon Redshift, or Google BigQuery. · Data Transformation & Quality: Use dbt (data build tool) for modeling and implement automated quality checks using Great Expectations or Soda. · Infrastructure & CI/CD: Deploy and manage data infrastructure using Terraform or CloudFormation, and maintain CI/CD pipelines via GitHub Actions or GitLab CI. Technical Stack Requirements · Cloud Platforms: Deep hands-on experience with Microsoft Azure (ADF, Synapse, Databricks) and AWS (S3, Glue, Athena, Lambda). · Programming: Strong proficiency in Python (PySpark, FastAPI), SQL, and familiarity with Java or Scala. · Big Data Tools: Experience with Apache Spark, Apache Flink, and Hadoop ecosystem. · Databases: Strong knowledge of both Relational (PostgreSQL, MySQL) and NoSQL (MongoDB, Cassandra, or DynamoDB) databases. · Containerization: Proficiency with Docker and Kubernetes (K8s) for deploying data services. · Observability: Familiarity with monitoring tools like Prometheus, Grafana, or Datadog to track pipeline
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TITLE: Staff Software Engineer, Data
EMPLOYER: Nu Holdings Ltd.
LOCATION: USA, Palo Alto (unspecified)
SALARY: Not disclosed
POSTED: 2026-03-20
K401_MATCH: yes (not source-backed)
APPLY_URL: https://job-boards.greenhouse.io/nubank/jobs/7724202
EXCERPT: Staff Software Engineer, Data USA, Palo Alto About Us Nu is one of the largest digital financial platforms in the world, with more than 127 million customers across Brazil, Mexico, and Colombia. Guided by our mission to fight complexity and empower people, we are redefining financial services in Latin America and this is still just the beginning of the purple future we're building. Listed on the New York Stock Exchange (NYSE: NU), we combine proprietary technology, data intelligence, and an efficient operating model to deliver financial products that are simple, accessible, and human. Our impact has been recognized by global rankings such as Time 100 Companies, Fast Company's Most Innovative Companies, and Forbes World's Best Bank. Visit our institutional page Careers at Nu - Join our team! About the Role As a Staff Software Engineer (Data) , you will be the technical cornerstone of our data ecosystem. At Nu, we don't just "move data" we build the foundational platforms that empower analysts, ML engineers, and product leaders to make the decisions that drive financial inclusion for millions. You will own the data infrastructure for your domain, tackling highly complex and ambiguous challenges that span multiple departments. You aren't just a builder; you are a strategist who identifies data gaps before they become bottlenecks and treats data quality as a mission critical product. You will set the technical bar for the entire function, ensuring that downstream trust remains unbreakable as we scale. Responsibilities - Architect Data Excellence: Design and evolve high
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TITLE: Engineering Manager, Software, Catalog Enrichment
EMPLOYER: Maplebear Inc.
LOCATION: Canada - Remote (ON, AB, BC, or NS Only) (remote)
SALARY: CAD 196K-207K
POSTED: 2026-05-14
APPLY_URL: https://instacart.careers/job/?gh_jid=7927378
EXCERPT: Engineering Manager, Software, Catalog Enrichment Canada - Remote (ON, AB, BC, or NS Only) We're transforming the grocery industry At Instacart, we invite the world to share love through food because we believe everyone should have access to the food they love and more time to enjoy it together. Where others see a simple need for grocery delivery, we see exciting complexity and endless opportunity to serve the varied needs of our community. We work to deliver an essential service that customers rely on to get their groceries and household goods, while also offering safe and flexible earnings opportunities to Instacart Personal Shoppers. Instacart has become a lifeline for millions of people, and we're building the team to help push our shopping cart forward. If you're ready to do the best work of your life, come join our table. Instacart is a Flex First team There's no one-size fits all approach to how we do our best work. Our employees have the flexibility to choose where they do their best work-whether it's from home, an office, or your favorite coffee shop-while staying connected and building community through regular in-person events. Learn more about our flexible approach to where we work. Overview Instacart is the North American leader in online grocery, and we're building the operating system for the grocery industry so people can access the food they love and more time to enjoy it together. We're looking for an Engineering Manager to lead our Catalog Enrichment team. This team builds
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TITLE: Staff Software Engineer, Observability
EMPLOYER: Pinterest
LOCATION: San Francisco, CA, US; Remote, US (remote)
SALARY: $177K-$365K
POSTED: 2026-05-26
PARENTAL_LEAVE_WEEKS: 20 (not source-backed)
NON_BIRTH_PARENT_LEAVE_WEEKS: 20 (not source-backed)
APPLY_URL: https://www.pinterestcareers.com/jobs/?gh_jid=7954753
EXCERPT: Staff Software Engineer, Observability San Francisco, CA, US; Remote, US About Pinterest: Millions of people around the world come to our platform to find creative ideas, dream about new possibilities and plan for memories that will last a lifetime. At Pinterest, we're on a mission to bring everyone the inspiration to create a life they love, and that starts with the people behind the product. Discover a career where you ignite innovation for millions, transform passion into growth opportunities, celebrate each other's unique experiences and embrace the flexibility to do your best work. Creating a career you love? It's Possible. At Pinterest, AI isn't just a feature, it's a powerful partner that augments our creativity and amplifies our impact, and we're looking for candidates who are excited to be a part of that. To get a complete picture of your experience and abilities, we'll explore your foundational skills and how you collaborate with AI. Through our interview process, what matters most is that you can always explain your approach, showing us not just what you know, but how you think. You can read more about our AI interview philosophy and how we use AI in our recruiting process here . We're seeking an exceptional Staff Software Engineer to join our Observability team at Pinterest. This role combines deep technical expertise in distributed systems and data engineering with a product-oriented mindset to build world-class observability solutions that empower our engineering organization. As a Staff Engineer on the Observability team, you'll be
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TITLE: Staff Software Engineer, Big Data Storage
EMPLOYER: Pinterest
LOCATION: Palo Alto, CA, US; Remote, US (remote)
SALARY: $177K-$365K
POSTED: 2025-12-17
PARENTAL_LEAVE_WEEKS: 20 (not source-backed)
NON_BIRTH_PARENT_LEAVE_WEEKS: 20 (not source-backed)
APPLY_URL: https://www.pinterestcareers.com/jobs/?gh_jid=7437356
EXCERPT: Staff Software Engineer, Big Data Storage Palo Alto, CA, US; Remote, US About Pinterest: Millions of people around the world come to our platform to find creative ideas, dream about new possibilities and plan for memories that will last a lifetime. At Pinterest, we're on a mission to bring everyone the inspiration to create a life they love, and that starts with the people behind the product. Discover a career where you ignite innovation for millions, transform passion into growth opportunities, celebrate each other's unique experiences and embrace the flexibility to do your best work. Creating a career you love? It's Possible. At Pinterest, AI isn't just a feature, it's a powerful partner that augments our creativity and amplifies our impact, and we're looking for candidates who are excited to be a part of that. To get a complete picture of your experience and abilities, we'll explore your foundational skills and how you collaborate with AI. Through our interview process, what matters most is that you can always explain your approach, showing us not just what you know, but how you think. You can read more about our AI interview philosophy and how we use AI in our recruiting process here . We're looking for a Staff Software Engineer to help build the next generation of Pinterest's big data storage platform. You'll work on some of the most exciting big data open source technologies - especially Apache Iceberg - at exabyte scale to power the data infrastructure that helps Pinners
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TITLE: Data Engineer (L5)
EMPLOYER: Netflix
LOCATION: USA - Remote (remote)
SALARY: $380K-$610K
POSTED: 2025-12-19
NON_BIRTH_PARENT_LEAVE_WEEKS: 8 (not source-backed)
K401_MATCH: yes (source-backed)
K401_SOURCE_URL: https://www.askebsa.dol.gov/FOIA%20Files/2024/Latest/F_SCH_H_2024_Latest.zip
MENTAL_HEALTH_SUPPORT: yes (not source-backed)
APPLY_URL: https://explore.jobs.netflix.net/careers/job/790313345439?microsite=netflix.com
EXCERPT: Data Engineer (L5) USA - Remote At Netflix, our mission is to entertain the world. Together, we are writing the next episode - pushing the boundaries of storytelling, global fandom and making the unimaginable a reality. We are a dream team obsessed with the uncomfortable excitement of discovering what happens when you merge creativity, intuition and cutting-edge technology. Come be a part of what's next. We are revolutionizing how shows and movies are produced, pushing technological boundaries to efficiently deliver streaming video at a massive scale over the internet, and continuously improving the end-to-end user experience with Netflix across their member journey. We pride ourselves on using data to inform our decision-making as we work towards our mission. This requires curating data across various domains such as Growth, Finance, Product, Content, and Studio. All of this data collection and curation is made possible thanks to the amazing Data Engineers of Netflix who bring this data to life. Data Engineering at Netflix is a role that requires building systems to process data efficiently and modeling the data to power analytics. These solutions can range from batch data pipelines that bring to life business metrics to real-time processing services that integrate with our core product features. In addition, we require our Data Engineers to have a rich understanding of large distributed systems on which our data solutions rely. Candidates should have knowledge across several of these skill sets and usually need to be deep in at least one. As a Data Engineer,
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TITLE: Data Engineer 5 - Privacy
EMPLOYER: Netflix
LOCATION: USA - Remote (remote)
SALARY: $380K-$610K
POSTED: 2025-10-24
K401_MATCH: yes (source-backed)
K401_SOURCE_URL: https://www.askebsa.dol.gov/FOIA%20Files/2024/Latest/F_SCH_H_2024_Latest.zip
APPLY_URL: https://explore.jobs.netflix.net/careers/job/790312603705?microsite=netflix.com
EXCERPT: Data Engineer 5 - Privacy USA - Remote At Netflix, our mission is to entertain the world. Together, we are writing the next episode - pushing the boundaries of storytelling, global fandom and making the unimaginable a reality. We are a dream team obsessed with the uncomfortable excitement of discovering what happens when you merge creativity, intuition and cutting-edge technology. Come be a part of what's next. We are in the midst of major transformative developments for the Netflix product with the launch of an Advertising supported plan, Games and Live content. These new products, alongside our streaming service, have resulted in significant increases in the complexity and breadth of our internal data ecosystem. We manage one of the largest paid subscription businesses and are committed to handling our members' data with a high degree of care towards appropriate use as well as compliance with local privacy laws and regulations in the 190+ countries where we operate. The Privacy and Legal Data Engineering pod builds scalable data management and extraction frameworks which are at the core of our ability to hold ourselves to the highest data privacy and hygiene standards in the industry. We are looking for a Data Engineer to help augment our ability to build these robust, scalable privacy centric data frameworks. As part of this team, you will work on diverse data technologies such as Spark, Presto, Flink, Kafka and others to build insightful, scalable and robust data pipelines; write ETL jobs to collect and aggregate data;
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TITLE: Sr. Staff Machine Learning Engineer, Content Quality
EMPLOYER: Pinterest
LOCATION: San Francisco, CA, US (unspecified)
SALARY: $268K-$469K
POSTED: 2026-04-27
PARENTAL_LEAVE_WEEKS: 20 (not source-backed)
NON_BIRTH_PARENT_LEAVE_WEEKS: 20 (not source-backed)
APPLY_URL: https://www.pinterestcareers.com/jobs/?gh_jid=7724254
EXCERPT: Sr. Staff Machine Learning Engineer, Content Quality San Francisco, CA, US About Pinterest: Millions of people around the world come to our platform to find creative ideas, dream about new possibilities and plan for memories that will last a lifetime. At Pinterest, we're on a mission to bring everyone the inspiration to create a life they love, and that starts with the people behind the product. Discover a career where you ignite innovation for millions, transform passion into growth opportunities, celebrate each other's unique experiences and embrace the flexibility to do your best work. Creating a career you love? It's Possible. At Pinterest, AI isn't just a feature, it's a powerful partner that augments our creativity and amplifies our impact, and we're looking for candidates who are excited to be a part of that. To get a complete picture of your experience and abilities, we'll explore your foundational skills and how you collaborate with AI. Through our interview process, what matters most is that you can always explain your approach, showing us not just what you know, but how you think. You can read more about our AI interview philosophy and how we use AI in our recruiting process here . We are looking for a Sr. Staff Machine Learning Engineer to be the Technical Lead for the Content Quality who will build the overall technical strategy, unified technical architecture and define a roadmap for industry leading methodology. We are seeking strong hands on machine learning background including content modeling,
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TITLE: Data Scientist
EMPLOYER: G2
LOCATION: Gurgaon, India (unspecified)
SALARY: Not disclosed
POSTED: 2026-06-05
APPLY_URL: https://jobs.ashbyhq.com/g2/69a06d55-24c8-40e1-a638-2e8944a4d1f2
EXCERPT: Data Scientist Gurgaon, India About G2 - The Company G2 is the world's largest and most trusted software marketplace. When you join G2, you're joining the industry's leading team that helps businesses reach their peak potential by powering decisions and strategies with trusted insights from real software users. Now, we have joined forces with Capterra , SoftwareAdvice , and GetApp to create the largest source of online data and software insights to fuel intelligent buying in the age of AI. With 200M+ combined annual visitors and 6M verified reviews, we are now the centralized place to enable software buyers to make better and faster decisions with confidence. And we are just getting started! We are setting out to transform the global B2B software industry and become the most trusted data foundation for buyers and sellers of software for the age of AI. Does that sound exciting to you? Come join us as we try to reach our next PEAK! About G2 - Our People At G2, everything we are and what we do is grounded in our PEAK values- ( P erformance + E ntrepreneurship + A uthenticity + K indness. Working at G2 means you are part of a value-driven, growing global community that climbs PEAKs together. We cheer for each other's successes, learn from our mistakes, and support and lean on one another during challenging times. With ambition and entrepreneurial spirit we push each other to take on challenging work, which will help us all to grow and
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TITLE: Senior Data Platform Engineer
EMPLOYER: G2
LOCATION: Gurgaon, India (unspecified)
SALARY: Not disclosed
POSTED: 2026-04-14
APPLY_URL: https://jobs.ashbyhq.com/g2/45216d56-04cc-4eca-a132-23f943a5421a
EXCERPT: Senior Data Platform Engineer Gurgaon, India About G2 - The Company G2 is the world's largest and most trusted software marketplace. When you join G2, you're joining the industry's leading team that helps businesses reach their peak potential by powering decisions and strategies with trusted insights from real software users. Now, we have joined forces with Capterra , SoftwareAdvice , and GetApp to create the largest source of online data and software insights to fuel intelligent buying in the age of AI. With 200M+ combined annual visitors and 6M verified reviews, we are now the centralized place to enable software buyers to make better and faster decisions with confidence. And we are just getting started! We are setting out to transform the global B2B software industry and become the most trusted data foundation for buyers and sellers of software for the age of AI. Does that sound exciting to you? Come join us as we try to reach our next PEAK! About G2 - Our People At G2, everything we are and what we do is grounded in our PEAK values- ( P erformance + E ntrepreneurship + A uthenticity + K indness. Working at G2 means you are part of a value-driven, growing global community that climbs PEAKs together. We cheer for each other's successes, learn from our mistakes, and support and lean on one another during challenging times. With ambition and entrepreneurial spirit we push each other to take on challenging work, which will help us all to
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TITLE: Staff Product Manager, Cloud Networking
EMPLOYER: Confluent
LOCATION: Remote, United States | Remote (remote)
SALARY: Not disclosed
POSTED: 2026-06-10
APPLY_URL: https://jobs.ashbyhq.com/confluent/e70deb8a-3308-49dd-b9c7-b537333c5645
EXCERPT: Staff Product Manager, Cloud Networking 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's Cloud Networking team is responsible for making connectivity to and from Confluent Cloud reliable, scalable, secure, cost-efficient, and simple to use - across Kafka, Flink, Connectors, Data Governance, and Tableflow, on AWS, Azure, and GCP. As Staff PM for Cloud Networking, you will own the platform strategy for how enterprises connect to Confluent Cloud. This is not a feature-level role - you will define the architecture of our networking product surface across all clouds and connection models, set the multi-year roadmap, and operate as a co-decision-maker alongside engineering leadership on the technical direction of the platform. You will work across all networking connection types - PrivateLink, VNet peering, Transit Gateway, Private Service Connect, and egress optimization - and drive alignment across engineering, field, and executive stakeholders on what we build and why. WHAT YOU WILL DO: -
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TITLE: Engineering Manager, Platform Engineering
EMPLOYER: Braze Inc
LOCATION: New York City (unspecified)
SALARY: $160K-$283K
POSTED: 2026-04-14
K401_MATCH: yes (source-backed)
K401_SOURCE_URL: https://www.askebsa.dol.gov/FOIA%20Files/2024/Latest/F_SCH_H_2024_Latest.zip
FERTILITY_FAMILY_BUILDING_BENEFITS: yes (not source-backed)
LEARNING_BUDGET_OFFERED: yes (not source-backed)
APPLY_URL: https://boards.greenhouse.io/braze/jobs/7788980?gh_jid=7788980
EXCERPT: Engineering Manager, Platform Engineering New York City At Braze, we have found our people. We're a genuinely approachable, exceptionally kind, and intensely passionate crew. We seek to ignite that passion by setting high standards, championing teamwork, and creating work-life harmony as we collectively navigate rapid growth on a global scale while striving for greater equity and opportunity - inside and outside our organization. To flourish here, you must be prepared to set a high bar for yourself and those around you. There is always a way to contribute: Acting with autonomy, having accountability and being open to new perspectives are essential to our continued success. Our deep curiosity to learn and our eagerness to share diverse passions with others gives us balance and injects a one-of-a-kind vibrancy into our culture. If you are driven to solve exhilarating challenges and have a bias toward action in the face of change, you will be empowered to make a real impact here, with a sharp and passionate team at your back. If Braze sounds like a place where you can thrive, we can't wait to meet you. WHAT YOU'LL DO The Platform Engineering Manager leads a team of highly skilled engineers tasked with building and managing a robust, automated platform that abstracts infrastructure complexities and enables seamless application deployment and operations. This role combines technical leadership, engineering management, and product management expertise to deliver platform services that align with organizational needs and provide exceptional value to internal customers. This manager is responsible for
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TITLE: Senior Product Manager, Streaming Platform
EMPLOYER: Snowflake Inc.
LOCATION: DE-Berlin-Trion Building, Berlin, Germany (unspecified)
SALARY: Not disclosed
POSTED: 2026-05-22
NON_BIRTH_PARENT_LEAVE_WEEKS: 12 (not source-backed)
APPLY_URL: https://jobs.ashbyhq.com/snowflake/e90e34f4-9746-483d-8d53-c3d297e06ff9
EXCERPT: Senior Product Manager, Streaming Platform DE-Berlin-Trion Building, Berlin, Germany At Snowflake, we are powering the era of the agentic enterprise. To usher in this new era, we seek AI-native thinkers across every function who are energized by the opportunity to reinvent how they work. You don't just use tools; you possess an innate curiosity, treating AI as a high-trust collaborator that is core to how you solve problems and accelerate your impact. We look for low-ego individuals who thrive in dynamic and fast-moving environments and move with an experimental mindset - who rapidly test emerging capabilities to discover simpler, more powerful ways to deliver results. At Snowflake, your role isn't just to execute a function, but to help redefine the future of how work gets done. Snowflake is building the platform that teams rely on to make data useful, reliable, and ready for the age of AI. As customers shift from batch analytics to real-time systems and intelligent applications, streaming is becoming core to how data is produced, consumed, and acted upon. We are seeking a Senior Product Manager to lead Snowflake's Streaming Platform. This role is at the center of the real-time data shift, defining how data in motion becomes data that teams can trust, analyze, and use to power AI-driven workflows. Streaming is the backbone for modern applications, operational analytics, and Agent to Agent pipelines. If you are passionate about distributed systems, care about craft, and want to work on problems that matter at massive scale, this is
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TITLE: Senior Data Software Engineer
EMPLOYER: Plume
LOCATION: Hyderabad, India (unspecified)
SALARY: Not disclosed
POSTED: 2026-06-10
APPLY_URL: https://www.plume.com/career-opportunities/?gh_jid=8580572002
EXCERPT: Senior Data Software Engineer Hyderabad, India Life at Plume At Plume, we believe that technology isn't about moving faster, it's about making life's moments better. Which is why we've built the world's first, and only, open and hardware-independent service delivery platform for smart homes, small businesses, enterprises, and beyond. Our SaaS platform uses WiFi, advanced AI, and machine learning to create the future of connected spaces-and human experiences-at massive scale. We now deliver services to over 60 million locations globally and have managed over 3 billion devices on our platform. We're expanding rapidly, pioneering a new category, and we achieved our Series F funding in just four years. Our customers include many of the world's largest Internet Service Providers (ISPs) who look to Plume to help them evolve their smart home offerings while gleaning insights from their own data. With a bias for action and a love for being trailblazers, the team at Plume embodies a combination of relentless curiosity and imaginative innovation. We challenge ourselves to think in ways that other companies don't, work to do what should be done (rather than what can), and if we can't do it exceptionally well, we don't do it. It's how we've assembled a team of world-class builders, thinkers, and doers. And it's how we're reinventing what's possible every day. Plume's Data Services team is looking for engineers to build and operate data pipelines that power the gamut of Plume products and analytics. Due to the massive scale and performance requirements of
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TITLE: Senior Software Engineer - II
EMPLOYER: Confluent
LOCATION: Remote, India | Remote (remote)
SALARY: Not disclosed
POSTED: 2026-06-10
APPLY_URL: https://jobs.ashbyhq.com/confluent/bdb98661-c475-4914-9b17-b99d03a2d56e
EXCERPT: Senior Software Engineer - II Remote, India | 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: Backend engineers at Confluent work on a set of diverse and complex challenges such as building foundational cloud frameworks and services that power all components of the platform in the Cloud. We are building a new multi-tenant, multi-cloud, polyglot, cloud native compute substrate to enable new business opportunities across Confluent Cloud (including Connect, Apache Flink, Kafka and more) . As a senior software engineer, you think strategically and you help drive end-to-end technical delivery from customer experience to scaling internal operations. You are not confined to the status quo and you leverage your expertise in Cloud-native, large-scale distributed systems to help take our platform to the next level. You worry about key operational aspects (availability, reliability, performance, monitoring, emergency response, capacity planning, disaster recovery) of our new Compute Platform, and you make sure that we have a highly-available, resilient
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TITLE: Senior Data Engineer, Core Experimentation
EMPLOYER: OpenAI
LOCATION: Seattle, Washington, United States (unspecified)
SALARY: $293K-$325K
POSTED: 2026-05-14
APPLY_URL: https://jobs.ashbyhq.com/openai/2796d32a-9f7c-4008-a2c5-50dd53b0f2fe
EXCERPT: Senior Data Engineer, Core Experimentation Seattle, Washington, United States About the Team The Statsig team at OpenAI builds and operates the experimentation platform that powers product development, measurement, and decision-making across the company. We partner closely with product, engineering, and infrastructure teams to ensure experiments are trustworthy, statistically rigorous, and scalable to the needs of frontier AI products. Our mission is to help teams make better decisions through reliable experimentation. We care deeply about statistical correctness, pragmatic solutions, and building systems that researchers and engineers can trust at massive scale. The team operates at the intersection of experimentation methodology, data infrastructure, causal inference, and product analytics. We are looking for experienced experimentation experts who want to shape the future of experimentation in the AI era. About the role: We're seeking a Data Engineer to take the lead in building our data pipelines and core tables for OpenAI. These pipelines are crucial for powering analyses, safety systems that guide business decisions, product growth, and prevent bad actors. If you're passionate about working with data and are eager to create solutions with significant impact, we'd love to hear from you. This role also provides the opportunity to collaborate closely with the researchers behind ChatGPT and help them train new models to deliver to users. As we continue our rapid growth, we value data-driven insights, and your contributions will play a pivotal role in our trajectory. Join us in shaping the future of OpenAI! In this role, you will: - Design, build and
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TITLE: Sr. Staff Software Engineer, Data Product Platform
EMPLOYER: Pinterest
LOCATION: San Francisco, CA, US; Remote, US (remote)
SALARY: $209K-$429K
POSTED: 2026-04-09
PARENTAL_LEAVE_WEEKS: 20 (not source-backed)
NON_BIRTH_PARENT_LEAVE_WEEKS: 20 (not source-backed)
APPLY_URL: https://www.pinterestcareers.com/jobs/?gh_jid=7746946
EXCERPT: Sr. Staff Software Engineer, Data Product Platform San Francisco, CA, US; Remote, US About Pinterest: Millions of people around the world come to our platform to find creative ideas, dream about new possibilities and plan for memories that will last a lifetime. At Pinterest, we're on a mission to bring everyone the inspiration to create a life they love, and that starts with the people behind the product. Discover a career where you ignite innovation for millions, transform passion into growth opportunities, celebrate each other's unique experiences and embrace the flexibility to do your best work. Creating a career you love? It's Possible. At Pinterest, AI isn't just a feature, it's a powerful partner that augments our creativity and amplifies our impact, and we're looking for candidates who are excited to be a part of that. To get a complete picture of your experience and abilities, we'll explore your foundational skills and how you collaborate with AI. Through our interview process, what matters most is that you can always explain your approach, showing us not just what you know, but how you think. You can read more about our AI interview philosophy and how we use AI in our recruiting process here . The Data Product Platform is mission-critical to accelerating data-driven decision-making at Pinterest on the foundation of 100s of thousands of tables and an exadata-scale data warehouse. We strive to provide effortless, efficient, and reliable data products and platforms that power the entire company. We achieve this by
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TITLE: Senior Software Engineer
EMPLOYER: BloomReach
LOCATION: Czechia (unspecified)
SALARY: Not disclosed
POSTED: 2025-08-20
PARENTAL_LEAVE_WEEKS: 26 (not source-backed)
MENTAL_HEALTH_SUPPORT: yes (not source-backed)
APPLY_URL: https://job-boards.greenhouse.io/bloomreach/jobs/7090462
EXCERPT: Senior Software Engineer Czechia Bloomreach is building the world's premier agentic platform for personalization .We're revolutionizing how businesses connect with their customers, building and deploying AI agents to personalize the entire customer journey. - We're taking autonomous search mainstream, making product discovery more intuitive and conversational for customers, and more profitable for businesses. - We're making conversational shopping a reality, connecting every shopper with tailored guidance and product expertise - available on demand, at every touchpoint in their journey. - We're designing the future of autonomous marketing , taking the work out of workflows, and reclaiming the creative, strategic, and customer-first work marketers were always meant to do. And we're building all of that on the intelligence of a single AI engine - Loomi AI - so that personalization isn't only autonomous…it's also consistent.From retail to financial services, hospitality to gaming, businesses use Bloomreach to drive higher growth and lasting loyalty. We power personalization for more than 1,400 global brands, including American Eagle, Sonepar, and Pandora. We want you to join us full-time as a Senior Software Engineer in our Data Pipeline team. We work remotely first (from Central & Eastern Europe) , but we are more than happy to meet you in our nice offices in Bratislava, Brno or Prague . And if you are interested in who will be your engineering manager, check out Vaclav's Linkedin . Intrigued? Read on 🙂… Your responsibilities - You will develop a data pipeline processing a large amount of data reliably and
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TITLE: Principal Engineer I - Cloud Observability
EMPLOYER: Confluent
LOCATION: IN Remote India (remote)
SALARY: Not disclosed
POSTED: 2026-06-10
APPLY_URL: https://jobs.ashbyhq.com/confluent/e12d3084-a84e-4c1a-800e-5d5dbb9e27e8
EXCERPT: Principal Engineer I - Cloud Observability IN Remote India 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 charter of the Confluent Observability team has been continuously expanding since its inception. You will technically drive the advancements in an expanding Confluent Observability charter. We want to ensure the quality of our Confluent Cloud observability features raise the bar. You will design and build technology for this. How do we enable our cloud and hybrid customers to gain insight into the health and performance of their Confluent resources quickly and effectively, ensuring that the experience of operating Confluent is unmatched? How do we bring forth new observability capabilities with rock-solid reliability while growing to 10x scale and beyond? How do we enable near real-time use cases for our customers' most challenging use cases? This means being able to handle open-ended strategy in this area. Confluent needs you to explore and experiment with new ideas that benefit customers
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TITLE: Staff Engineer — Data Platform
EMPLOYER: Yuno
LOCATION: London (remote)
SALARY: Not disclosed
POSTED: 2026-04-24
APPLY_URL: https://jobs.lever.co/yuno/0a1e498f-b0af-4955-bf94-e23b48faec00
EXCERPT: Staff Engineer — Data Platform London Europe · Remote · Full Time · Staff-Level Individual Contributor · +8 Years of Experience Who We Are At Yuno, we are building the payment infrastructure that allows all companies to participate in the global market. Founded by seasoned experts from the payments and tech industries - including the team behind Rappi, one of Latin America's most ambitious tech companies - our technology provides access to leading payment capabilities, enabling companies to engage customers confidently and maintain global operations through seamless integrations. We empower high-performing teams at brands like InDrive, McDonald's, Rappi, and Viva Aerobus to connect to 300+ payment methods worldwide via a single API. By leveraging advanced AI and the latest technologies, we orchestrate smart routing and fraud prevention across 80+ countries. About The Role We are orchestrating a high-performing data team that works with pace and enthusiasm! Yuno moves money across borders for companies that can't afford for payments to fail. Our data platform is what makes that visible - to our product teams, our clients, and ourselves. If you are a Staff Engineer with passion and drive who enjoys solving complex data problems and driving engineering standards and initiatives end-to-end, then we are looking for you. You will play a pivotal role within the Data team that powers Yuno and its payment platform, while helping co-design and implement an architecture that enables the entire organization to operate on reliable, fast, and trustworthy data. Your Contribution Will Be The stack is
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TITLE: Software Engineer, Data
EMPLOYER: Kalshi
LOCATION: New York, New York, United States (unspecified)
SALARY: $100K-$250K
POSTED: 2024-08-14
APPLY_URL: https://job-boards.greenhouse.io/kalshi/jobs/6089733003
EXCERPT: Software Engineer, Data New York, New York, United States Kalshi is defining a new category Kalshi has defined a new category: prediction markets. Kalshi allows people to trade on the outcome of any events and turn any question about the future into a financial asset. Kalshi fought for years and legalized prediction markets in the US for the first time in history. Kalshi is currently the fastest growing financial market in America, and has thousands of markets across politics, economics, financials, weather, tech, AI, culture and more. We believe prediction markets have the potential to be the largest financial market because they turn anything into a financial position. - Our vision: well… build the largest financial market on the planet. - Our mission: bring more truth to the world through the power of markets. Building a new category is hard… like really hard. But it's beautiful and deeply fulfilling . Our culture is simple: we hire really talented people, work really hard, and enjoy the climb. We are looking for ambitious and exceptional people to join our (relatively small) team to help us build the next generation of financial markets. Role Roadmap As our go to data person at Kalshi, you build and operate the full data stack at Kalshi. This role is one part data engineering, one part data analysis. Some of the projects you may work on: - Partner closely across the business to find improvements/opportunities and influence decisions using data science methodologies and tools - Drive the
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TITLE: Data Analytics Engineer I
EMPLOYER: Checkout.com
LOCATION: London, United Kingdom (unspecified)
SALARY: Not disclosed
POSTED: 2026-05-12
APPLY_URL: https://jobs.ashbyhq.com/checkout.com/6bc07172-614d-4d5f-af16-a2cd205015a9
EXCERPT: Data Analytics Engineer I London, United Kingdom Company Description We're Checkout.com . You might not know our name, but companies like eBay, Spotify, Klarna, Uber, and Sony do, because we're behind many of the digital experiences you use every day. We are where the world checks out, enabling over 10 billion transactions daily for more than one billion global shoppers. Whether you want to book a holiday, order food, renew a subscription, or check out online, there's a good chance our tech powers the payments behind the scenes. Our platform helps the most ambitious businesses deliver effortless digital experiences, at scale. If you want to do career-defining work, you've come to the right place. We move fast, think globally, and believe great teams are built by hiring exceptional people with conviction, curiosity, and the desire to make an impact. With 20 offices across six continents and London as our HQ, we're shaping the future of fintech - and we're just getting started. You will be joining the Financial Infrastructure team, responsible for building and maintaining the core systems powering our internal financial ecosystem. Every year, we process hundreds of billions of events that have a financial impact on Checkout.com and our merchants. Our team is responsible for maintaining an accurate record of all financial data, the data integrity of our systems and ensuring our infrastructure meets regulatory and compliance obligations in a scalable, reliable and fault-tolerant manner. As an Analytics Engineer, you will play a pivotal role in our mission
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TITLE: Software Engineer 4 – Data and Feature Infrastructure, AI Platform
EMPLOYER: Netflix
LOCATION: USA - Remote (remote)
SALARY: $466K-$750K
POSTED: 2025-01-09
NON_BIRTH_PARENT_LEAVE_WEEKS: 8 (not source-backed)
K401_MATCH: yes (source-backed)
K401_SOURCE_URL: https://www.askebsa.dol.gov/FOIA%20Files/2024/Latest/F_SCH_H_2024_Latest.zip
MENTAL_HEALTH_SUPPORT: yes (not source-backed)
APPLY_URL: https://explore.jobs.netflix.net/careers/job/790300763299?microsite=netflix.com
EXCERPT: Software Engineer 4 – Data and Feature Infrastructure, AI Platform USA - Remote At Netflix, our mission is to entertain the world. Together, we are writing the next episode - pushing the boundaries of storytelling, global fandom and making the unimaginable a reality. We are a dream team obsessed with the uncomfortable excitement of discovering what happens when you merge creativity, intuition and cutting-edge technology. Come be a part of what's next. Machine Learning/Artificial Intelligence powers innovation in all areas of the business, from helping members choose the right title for them through personalization, to better understanding our audience and our content slate, to optimizing our payment processing and other revenue-focused initiatives. Building highly scalable and differentiated ML infrastructure is key to accelerating this innovation. ML models can only be as good as the data we provide them. That's why we continue to innovate on making data and feature engineering as simple, scalable, and efficient as possible. Are you interested in joining us on this mission? You will have the opportunity to build cutting-edge data and feature infrastructure that will power ML models across various domains, including personalized recommendations, payments, games, ads, and more. The Opportunity In this role, you will have the opportunity to build a next-generation ML data and feature platform to significantly improve the productivity of ML practitioners. Our goal is to enable our ML practitioners to easily define and test ML features and labels, while our platform takes care of the computation, storage, and serving of
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TITLE: Staff Software Engineer - Financial Infrastructure
EMPLOYER: Checkout.com
LOCATION: Tallinn, Estonia (unspecified)
SALARY: Not disclosed
POSTED: 2026-06-05
APPLY_URL: https://jobs.ashbyhq.com/checkout.com/26656d3c-4d08-4c7d-8e7d-a17d9b61de3c
EXCERPT: Staff Software Engineer - Financial Infrastructure Tallinn, Estonia Company Description We're Checkout.com . You might not know our name, but companies like eBay, Spotify, Klarna, Uber, and Sony do, because we're behind many of the digital experiences you use every day. We are where the world checks out, enabling over 10 billion transactions daily for more than one billion global shoppers. Whether you want to book a holiday, order food, renew a subscription, or check out online, there's a good chance our tech powers the payments behind the scenes. Our platform helps the most ambitious businesses deliver effortless digital experiences, at scale. If you want to do career-defining work, you've come to the right place. We move fast, think globally, and believe great teams are built by hiring exceptional people with conviction, curiosity, and the desire to make an impact. With 20 offices across six continents and London as our HQ, we're shaping the future of fintech - and we're just getting started. Job Description As a Staff Engineer in our Financial Infrastructure team, you will provide expert technical leadership in designing and building our cloud-based finance platform. This is a pivotal role where you will define the standards for our distributed architecture and collaborate with product and engineering leaders to shape our technical and product roadmap. You'll be at the heart of automating Checkout.com 's complex financial processes, tackling the ongoing challenges of data integrity, granularity, and scalability to support our rapid global growth. What You'll Be Doing: -
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TITLE: Staff Backend Engineer
EMPLOYER: Coupang
LOCATION: Bengaluru (unspecified)
SALARY: Not disclosed
POSTED: 2026-05-14
APPLY_URL: https://www.coupang.jobs/en/jobs/?gh_jid=7904326
EXCERPT: Staff Backend Engineer Bengaluru Company Introduction We exist to wow our customers. We know we're doing the right thing when we hear our customers say, “How did we ever live without Coupang?” Born out of an obsession to make shopping, eating, and living easier than ever, we're collectively disrupting the multi-billion-dollar e-commerce industry from the ground up. We are one of the fastest-growing e-commerce companies that established an unparalleled reputation for being a dominant and reliable force in South Korean commerce. We are proud to have the best of both worlds - a startup culture with the resources of a large global public company. This fuels us to continue our growth and launch new services at the speed we have been since our inception. We are all entrepreneurs surrounded by opportunities to drive new initiatives and innovations. At our core, we are bold and ambitious people that like to get our hands dirty and make a hands-on impact. At Coupang, you will see yourself, your colleagues, your team, and the company grow every day. Our mission to build the future of commerce is real. We push the boundaries of what's possible to solve problems and break traditional tradeoffs. Join Coupang now to create an epic experience in this always-on, high-tech, and hyper-connected world. Role Overview The Commerce Risk Detection Systems (CRDs) team focuses on seller and buyer fraud detection and prevention across Coupang's ecosystem. The team builds large-scale, real-time systems that analyze tens of millions of commerce events daily (orders,
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TITLE: Senior Software Development Manager - Finance Platform
EMPLOYER: Coupang
LOCATION: Bengaluru (unspecified)
SALARY: Not disclosed
POSTED: 2026-05-07
APPLY_URL: https://www.coupang.jobs/en/jobs/?gh_jid=7902921
EXCERPT: Senior Software Development Manager - Finance Platform Bengaluru Company Introduction We exist to wow our customers. We know we're doing the right thing when we hear our customers say, “How did we ever live without Coupang?” Born out of an obsession to make shopping, eating, and living easier than ever, we're collectively disrupting the multi-billion-dollar e-commerce industry from the ground up. We are one of the fastest-growing e-commerce companies that established an unparalleled reputation for being a dominant and reliable force in South Korean commerce. We are proud to have the best of both worlds - a startup culture with the resources of a large global public company. This fuels us to continue our growth and launch new services at the speed we have been since our inception. We are all entrepreneurs surrounded by opportunities to drive new initiatives and innovations. At our core, we are bold and ambitious people that like to get our hands dirty and make a hands-on impact. At Coupang, you will see yourself, your colleagues, your team, and the company grow every day. Our mission to build the future of commerce is real. We push the boundaries of what's possible to solve problems and break traditional tradeoffs. Join Coupang now to create an epic experience in this always-on, high-tech, and hyper-connected world. Role Overview We are looking for an experienced Software Development Manager to lead a team of 8-14 engineers building critical settlement platform capabilities. You will own the technical direction, delivery, and people growth
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TITLE: Senior Data Engineer
EMPLOYER: Belvedere Trading
LOCATION: Chicago, Illinois (unspecified)
SALARY: Not disclosed
POSTED: 2026-06-02
APPLY_URL: https://jobs.lever.co/belvederetrading/4e1d5aa7-4e05-4c4f-a426-d1dc7d1507ea
EXCERPT: Senior Data Engineer Chicago, Illinois Belvedere Trading is a leading proprietary trading firm proudly headquartered in downtown Chicago. Our traders work hard to provide liquidity to the market through their market-making activities and are the masters of a diverse set of commodities, interest rates, exchange-traded funds (ETF), and equity index options. From the beginning, we began iteratively investing in our proprietary technology and committing to building our systems from the ground up. Our trading models and software systems are continually re-engineered, optimized, and maintained to stay on top of the industry. This wouldn't be possible without the dedicated efforts of our technology teams who utilize and perfect our innovative technology solutions. High-performance proprietary development is the source of our success and competitive advantage at Belvedere, further fueling our passion for performance. We are a team driven by intellectual curiosity, seeking answers that will change not only how we trade in this technological age, but also the future landscape of the trading industry. We place a high premium on defining, developing, and deploying high performance trading software using a team-based, holistic development approach. We look for passionate team members that excel and their contribution is critical to our continued success. Belvedere Trading is looking for a proven Senior Data Engineer to work directly with our trading desks to improve trading performance. This role will be instrumental in ensuring data availability, breadth, and reliability to make better trading decisions. A Senior Data Engineer will work directly with on-desk staff to architect robust
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TITLE: Senior Engineering Manager - Data Platform
EMPLOYER: Checkout.com
LOCATION: London, United Kingdom (unspecified)
SALARY: Not disclosed
POSTED: 2026-04-23
APPLY_URL: https://jobs.ashbyhq.com/checkout.com/bef34bec-3630-47f4-ac05-9c1e25729a1a
EXCERPT: Senior Engineering Manager - Data Platform London, United Kingdom Company Description We're Checkout.com . You might not know our name, but companies like eBay, Spotify, Klarna, Uber, and Sony do, because we're behind many of the digital experiences you use every day. We are where the world checks out, enabling over 10 billion transactions daily for more than one billion global shoppers. Whether you want to book a holiday, order food, renew a subscription, or check out online, there's a good chance our tech powers the payments behind the scenes. Our platform helps the most ambitious businesses deliver effortless digital experiences, at scale. If you want to do career-defining work, you've come to the right place. We move fast, think globally, and believe great teams are built by hiring exceptional people with conviction, curiosity, and the desire to make an impact. With 20 offices across six continents and London as our HQ, we're shaping the future of fintech - and we're just getting started. Checkout.com is looking for an ambitious Senior Engineering Manager to join our Data and AI Platform Team. Our team's mission is to ultimately provide all the tools and platforms which will ensure data and AI can be easily leveraged to the benefit of our products, merchants, and internal collaborators and teams. Our focus should be on maximising the amount of time other teams spend on solving business problems and innovating their products, and minimising the time spent on technical details around implementation, deployment and monitoring of
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TITLE: Staff Software Engineer, Streaming Infrastructure
EMPLOYER: Robinhood Markets, Inc.
LOCATION: Bellevue, WA (unspecified)
SALARY: $230K-$270K
POSTED: 2026-01-14
K401_MATCH: yes (not source-backed)
MATCH_401K_PCT: 0
FERTILITY_FAMILY_BUILDING_BENEFITS: yes (not source-backed)
MENTAL_HEALTH_SUPPORT: yes (not source-backed)
APPLY_URL: https://boards.greenhouse.io/robinhood/jobs/7489755?t=gh_src=&gh_jid=7489755
EXCERPT: Staff Software Engineer, Streaming Infrastructure Bellevue, WA Join us in building the future of finance. Our mission is to democratize finance for all. An estimated $124 trillion of assets will be inherited by younger generations in the next two decades. The largest transfer of wealth in human history. If you're ready to be at the epicenter of this historic cultural and financial shift, keep reading. About the team + role We are building an elite team, applying frontier technologies to the world's biggest financial problems. We're looking for bold thinkers. Sharp problem-solvers. Builders who are wired to make an impact. Robinhood isn't a place for complacency, it's where ambitious people do the best work of their careers. We're a high-performing, fast-moving team with ethics at the center of everything we do. Expectations are high, and so are the rewards. The Streaming Platform team's mission is to enable real-time, reliable, and scalable data streaming across Robinhood's products and infrastructure. We build and maintain foundational platforms that power communication between services and unlock streaming analytics across the company. Our systems are critical to Robinhood's ability to build innovative financial products and deliver seamless experiences to our customers! Here is an example of some of the exciting projects the team is working on! - Robinhood's Use of WarpStream for Logging - Robinhood's Kafka Journey from EC2 to Kubernetes - Robinhood's Kafka Proxy As a Staff Software Engineer, you'll design, develop, and operate distributed systems that support core data pipelines and real-time event processing.
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TITLE: Senior Software Development Manager - Global Operations Team
EMPLOYER: Coupang
LOCATION: Hyderabad (unspecified)
SALARY: Not disclosed
POSTED: 2026-05-25
APPLY_URL: https://www.coupang.jobs/en/jobs/?gh_jid=7923533
EXCERPT: Senior Software Development Manager - Global Operations Team Hyderabad Company Introduction : We exist to wow our customers. We know we're doing the right thing when we hear our customers say, “How did we ever live without Coupang?” Born out of an obsession to make shopping, eating, and living easier than ever, we're collectively disrupting the multi-billion-dollar e-commerce industry from the ground up. We are one of the fastest-growing e-commerce companies that established an unparalleled reputation for being a dominant and reliable force in South Korean commerce. We are proud to have the best of both worlds - a startup culture with the resources of a large global public company. This fuels us to continue our growth and launch new services at the speed we have been since our inception. We are all entrepreneurs surrounded by opportunities to drive new initiatives and innovations. At our core, we are bold and ambitious people that like to get our hands dirty and make a hands-on impact. At Coupang, you will see yourself, your colleagues, your team, and the company grow every day. Our mission to build the future of commerce is real. We push the boundaries of what's possible to solve problems and break traditional tradeoffs. Join Coupang now to create an epic experience in this always-on, high-tech, and hyper-connected world. Role Overview : We are looking for an experienced Senior Software Development Manager to lead a team of 8-10 engineers working on next-generation platform capabilities within Coupang's transportation ecosystem. This role
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TITLE: Senior Software Engineer, Observability
EMPLOYER: MongoDB, Inc.
LOCATION: Dublin (unspecified)
SALARY: Not disclosed
POSTED: 2026-03-09
NON_BIRTH_PARENT_LEAVE_WEEKS: 20 (not source-backed)
FERTILITY_FAMILY_BUILDING_BENEFITS: yes (not source-backed)
MENTAL_HEALTH_SUPPORT: yes (not source-backed)
CHILDCARE_SUBSIDY: yes (not source-backed)
APPLY_URL: https://www.mongodb.com/careers/job/?gh_jid=7695616
EXCERPT: Senior Software Engineer, Observability Dublin The MongoDB Customer Observability Team is a diverse group of contributors working together to help our users manage MongoDB at global scale. The team is responsible for MongoDB Atlas: our database-as-a-service offering and fastest-growing product, which allows users to deploy globally distributed MongoDB clusters in just minutes. We're seeking a Senior Software Engineer to join our team to tackle exciting challenges within the Observability space. You'll contribute to developing tools and platforms that help our users understand the health and performance of their MongoDB deployments. This includes collecting metrics, monitoring slow queries, and offering actionable insights such as index and schema suggestions that improve the speed, efficiency, and overall reliability of their databases. This role provides a unique opportunity to drive engineering excellence across both dimensions of observability, leveraging technologies being developed within the Customer Observability group and contributing directly to the success of our customers and our product teams. If you're passionate about large-scale systems, digging deep into telemetry data, and building tools that make a real impact both internally and externally, we'd love to have you on board! We are looking to speak to candidates who are based in Dublin for our hybrid working model. We're looking for someone who - Has at least 5 years of experience as a backend or full stack engineer - Enjoys collaboration and being part of a team - Is approachable, curious, and intellectually honest - Is a backend engineer with a willingness to take on frontend
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TITLE: Data Engineer – Platform
EMPLOYER: Spotify
LOCATION: Toronto (unspecified)
SALARY: CAD 103K-148K
POSTED: 2026-04-20
APPLY_URL: https://jobs.lever.co/spotify/4303f795-d0a5-41ed-8c78-0941780b6e54
EXCERPT: Data Engineer – Platform Toronto The Platform team creates the technology that enables Spotify to learn quickly and scale easily, enabling rapid growth in our users and our business around the globe. Spanning many disciplines, we work to make the business work; creating the infrastructure, tooling, frameworks, and capabilities needed to welcome a billion customers. The Data Infrastructure product area sits at the heart of Spotify's Platform mission, enabling teams across the company to solve complex data challenges at scale. We build the infrastructure and tooling that powers data pipelines used in some of Spotify's most loved experiences, like Discover Weekly and Wrapped. As part of this team, you'll collaborate with engineers across multiple squads to shape the future of data processing and developer experience at Spotify, especially as AI and intelligent agents become more central to how we work with data. The Platform team creates the technology that enables Spotify to learn quickly and scale easily, enabling rapid growth in our users and our business around the globe. Spanning many disciplines, we work to make the business work; creating the infrastructure, tooling, frameworks, and capabilities needed to welcome a billion customers. The Data Infrastructure product area sits at the heart of Spotify's Platform mission, enabling teams across the company to solve complex data challenges at scale. We build the infrastructure and tooling that powers data pipelines used in some of Spotify's most loved experiences, like Discover Weekly and Wrapped. As part of this team, you'll collaborate with engineers across
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TITLE: Software Engineer, Product Security Data Platforms
EMPLOYER: Stripe
LOCATION: Seattle (unspecified)
SALARY: Not disclosed
POSTED: 2026-06-07
NON_BIRTH_PARENT_LEAVE_WEEKS: 16 (not source-backed)
K401_MATCH: yes (source-backed)
K401_SOURCE_URL: https://www.askebsa.dol.gov/FOIA%20Files/2024/Latest/F_SCH_H_2024_Latest.zip
FERTILITY_FAMILY_BUILDING_BENEFITS: yes (not source-backed)
CHILDCARE_SUBSIDY: yes (not source-backed)
APPLY_URL: https://stripe.com/jobs/search?gh_jid=7761694
EXCERPT: Software Engineer, Product Security Data Platforms Seattle Who we are About Stripe Stripe is a financial infrastructure platform for businesses. Millions of companies-from the world's largest enterprises to the most ambitious startups-use Stripe to accept payments, grow their revenue, and accelerate new business opportunities. Our mission is to increase the GDP of the internet, and we have a staggering amount of work ahead. That means you have an unprecedented opportunity to put the global economy within everyone's reach while doing the most important work of your career. About the team The Product Security Data Platforms team is a newly established engineering team within Stripe Security. Our mission is to build the foundational infrastructure that provides our users with unprecedented visibility into the security posture of their Stripe integration. While Stripe is renowned for industry-leading payment protection, we are expanding our focus to provide a comprehensive security telemetry platform that helps businesses protect their entire digital ecosystem on Stripe. As a founding member of this team, you'll architect a large-scale customer-facing security data pipeline and presentation layer. Much like modern security observability platforms and data lakes that have transformed cloud infrastructure, we're building an API-first service that transforms massive streams of behavioral data into actionable security intelligence. This team operates at the intersection of high-throughput data engineering and cybersecurity, creating the systems that will allow the world's most sophisticated companies to monitor, detect, and respond to threats in real time. What you'll do As a Senior Software Engineer on this founding
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TITLE: Software Engineer II, Machine Learning
EMPLOYER: Match Group
LOCATION: Palo Alto, California (unspecified)
SALARY: $145K-$165K
POSTED: 2026-06-02
APPLY_URL: https://jobs.lever.co/matchgroup/613fab0e-1e84-4604-9fae-08785c3a792e
EXCERPT: Software Engineer II, Machine Learning Palo Alto, California Our Mission As humans, there are few things more exciting than meeting someone new. At Tinder, we're inspired by the challenge of keeping the magic of human connection alive. With tens of millions of users, hundreds of millions of downloads, 2+ billion swipes per day, 20+ million matches per day, and a presence in 190+ countries, our reach is expansive-and rapidly growing. We work together to solve complex problems. Behind the simplicity of every match, we think deeply about human relationships, behavioral science, network economics, AI and ML, online and real-world safety, cultural nuances, loneliness, love, sex, and more. Our Values Take the Lead: We don't ghost our work or each other. Just as users don't leave their matches hanging, we don't let each other down. Move Fast: We have a bias for action and urgency. Something that could be done tomorrow would be better if done today. Better Together: We keep connection at the heart of dating and at the heart of how we work. Just as our users are better when they connect with others, so are we when we collaborate. Real Talk: We say the hard thing the human way. Just as we ask our users to behave with kindness and candor in our community, we expect Team Tinder to do the same. Safety First: We act with integrity, transparency, and consistency so people feel safe-whether they're swiping, matching, or working alongside us. Spark Fun: We have fun to
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TITLE: Engineering Manager, Data Platform
EMPLOYER: Discord
LOCATION: San Francisco Bay Area (unspecified)
SALARY: $248K-$310K
POSTED: 2026-03-06
RELOCATION_ASSISTANCE: yes (not source-backed)
APPLY_URL: https://job-boards.greenhouse.io/discord/jobs/8397385002
EXCERPT: Engineering Manager, Data Platform San Francisco Bay Area Discord is used by over 200 million people every month for many different reasons, but there's one thing that nearly everyone does on our platform: play video games. Over 90% of our users play games, spending a combined 1.5 billion hours playing thousands of unique titles on Discord each month. Discord plays a uniquely important role in the future of gaming. We are focused on making it easier and more fun for people to talk and hang out before, during, and after playing games. Every day, hundreds of millions of gamers gather on Discord to hang out, strategize their next raid, celebrate tournament victories, and build communities around the games they love. Behind every voice channel, every streamer Go Live, every Quest completed, there's data, petabytes of it, telling the story of how people connect through gaming. We're looking for an Engineering Manager who gets excited about building world-class teams and data infrastructure at massive scale. Someone who cares deeply about the communities we serve and is passionate about developing engineers who build lovable products for Discord users and Discord engineers alike. You'll lead a team building the next generation Data Platform that powers decisions for one of the most vibrant platforms in the world. If you're the kind of leader who lights up when coaching engineers, making tough technical decisions, and wants your team's work to directly impact millions worldwide, we want to talk to you. To learn more about Discord's
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TITLE: Software Engineer- Backend Intern (Fall 2026)
EMPLOYER: Astranis
LOCATION: San Francisco, CA (unspecified)
SALARY: $29-$29/hr
POSTED: 2026-05-13
APPLY_URL: https://job-boards.greenhouse.io/astranis/jobs/4681183006
EXCERPT: Software Engineer- Backend Intern (Fall 2026) San Francisco, CA Astranis builds advanced satellites for high orbits, expanding humanity's reach into the solar system. Today, Astranis satellites provide dedicated, secure networks to highly-sophisticated customers across the globe- large enterprises, sovereign governments, and the US military. With five satellites on orbit and many more set to launch soon, the company is servicing a backlog of more than $1 billion of commercial contracts. Astranis is the preferred satellite communications partner for buyers with stringent requirements for uptime, data security, network visibility, and customization. Astranis has raised over $750 million from some of the world's best investors, from Andreessen Horowitz to Blackrock and Fidelity, and employs a team of 450 engineers and entrepreneurs. Astranis designs, builds, and operates its satellites out of its 153,000 sq. ft. headquarters in Northern California, USA. Software Engineer- Backend Intern (Fall 2026) As a Software Engineer Intern on the Platform team, you'll design and build services that autonomously control satellites, monitor telemetry for anomalies, and provide real-time situational awareness to keep our fleet safe and online. You'll also be building the core components and services that power the rest of our software organization, enabling every team to move faster and more reliably. You will be shaping the foundation of software that has to work flawlessly - because our satellites depend on it. This role will contribute to both our commercial and US government programs. Internships at Astranis typically last for twelve weeks, and are hourly roles designed for students
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