# FewerJobs export - 73 curated jobs Generated: 2026-06-14T04:48:16.401Z Source: https://fewerjobs.com ## Filters 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 ### Hardware/Field Robotics Engineer Intern - Flink - Location: Zürich, Switzerland (unspecified) - Salary: Not disclosed - Posted: 2026-05-28 - Apply: 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 ### Field Robotics Engineer - Flink - Location: Zürich, Switzerland (unspecified) - Salary: Not disclosed - Posted: 2026-06-11 - Apply: 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 ### Flink Lead Software Engineer - Salesforce - Location: California - San Francisco (unspecified) - Salary: $208K-$286K - Posted: 2026-06-03 - Parental leave: 26 weeks (not source-backed) - Non-birth-parent leave: 12 weeks (not source-backed) - 401(k) match: listed (source-backed) - Source: https://www.askebsa.dol.gov/FOIA%20Files/2024/Latest/F_SCH_H_2024_Latest.zip - Apply: 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 ### Staff Software Engineer - Flink SQL - Confluent - Location: Remote, United States | Remote (remote) - Salary: Not disclosed - Posted: 2026-06-10 - Apply: 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 ### Senior Engineering Manager, Flink Control Plane - Confluent - Location: Remote, California | Remote (remote) - Salary: Not disclosed - Posted: 2026-06-10 - Apply: 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 ### Software Engineer, Flink - Cloudera - Location: Hungary > Budapest (unspecified) - Salary: Not disclosed - Posted: 2026-06-12 - Apply: https://cloudera.wd5.myworkdayjobs.com/External_Career/job/Hungary--Budapest/Software-Engineer--Flink_251511-1 - Excerpt: Software Engineer, Flink Hungary > Budapest posted: Posted Today ### Speculative Application - Flink - Location: Zürich, Switzerland (unspecified) - Salary: Not disclosed - Posted: 2026-03-14 - Apply: 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. ### Senior Software Engineer in Test (IC3) - Streaming/Apache Flink - Cloudera - Location: 3 Locations (unspecified) - Salary: Not disclosed - Posted: 2026-05-12 - Apply: 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 ### Data Engineer – Big Data & Streaming Platforms - Java/Scala or Python | Spark, Kafka | Flink, Iceberg / Lakehouse, Trino | 4 to 7 Years - ThousandEyes - Location: Bangalore, India (unspecified) - Salary: Not disclosed - Posted: 2026-06-11 - Apply: 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! ### Senior Software Engineer (Monitor team) - Sysdig - Location: Flexible - Serbia (unspecified) - Salary: Not disclosed - Posted: 2026-02-26 - Apply: 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 ### Senior Platform Engineer - Adyen - Location: Bengaluru (unspecified) - Salary: Not disclosed - Posted: 2026-04-28 - Apply: 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 ### Backend Engineer - Grepr - Location: San Francisco, California, USA (unspecified) - Salary: Not disclosed - Posted: 2025-02-07 - Apply: 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 ### Staff Engineer, Observability - MongoDB, Inc. - Location: Dublin (unspecified) - Salary: Not disclosed - Posted: 2026-02-27 - Apply: 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 ### Staff Software Engineer - Confluent - Location: Remote, United States | Remote (remote) - Salary: Not disclosed - Posted: 2026-06-10 - Apply: 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 ### Staff Software Developer - Confluent - Location: DE Remote Germany (remote) - Salary: Not disclosed - Posted: 2026-06-10 - Apply: 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 ### Pincipal, Product Manager - Confluent - Location: Remote, United States | Remote (remote) - Salary: Not disclosed - Posted: 2026-06-10 - Apply: 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 ### Software Development Engineer - Data - Apple - Location: Cupertino, United States of America (unspecified) - Salary: $181K-$318K - Posted: 2026-06-08 - 401(k) match: listed (source-backed) - Source: https://www.askebsa.dol.gov/FOIA%20Files/2024/Latest/F_SCH_H_2024_Latest.zip - Apply: 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 ### Senior Staff Engineer - MongoDB, Inc. - Location: Dublin (unspecified) - Salary: Not disclosed - Posted: 2026-02-24 - Apply: 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, ### Staff Product Manager, Cloud Networking - Confluent - Location: Remote, United States | Remote (remote) - Salary: Not disclosed - Posted: 2026-06-10 - Apply: 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: - ### Data Engineer - Bank of Nova Scotia - Location: Toronto (unspecified) - Salary: Not disclosed - Posted: 2026-06-12 - Apply: 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 ### Systems Development Engineer, Files, Edge, and Data Streams (FEDS) - Amazon - Location: Denver, Colorado, USA (unspecified) - Salary: $129K-$175K - Posted: 2026-05-07 - Parental leave: 6 weeks (not source-backed) - Non-birth-parent leave: 6 weeks (not source-backed) - Apply: 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 ### Data Engineer - Digital Assets - IMC Trading - Location: Zug, Switzerland (unspecified) - Salary: Not disclosed - Posted: 2026-01-16 - Apply: 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, ### Data Engineer - Shaped - Location: Williamsburg, NY, United States (unspecified) - Salary: $130K-$200K - Posted: 2026-06-10 - Apply: 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% ### Senior Data Developer - Streaming - MaintainX - Location: Montreal, Toronto (unspecified) - Salary: Not disclosed - Posted: 2026-04-03 - Apply: 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 ### Staff Software Engineer - Streaming Data - Seattle, WA - Otter - Location: Seattle, WA (unspecified) - Salary: $167K-$230K - Posted: 2025-08-12 - Apply: 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 ### Software Engineer, Data Infrastructure - OpenAI - Location: San Francisco, California, United States (unspecified) - Salary: Not disclosed - Posted: 2024-06-27 - Apply: 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, ### Software Engineer - Streaming Data - Seattle, WA - Otter - Location: Seattle, WA (unspecified) - Salary: $167K-$230K - Posted: 2025-10-28 - Apply: 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 ### Senior Software Engineer – Real-Time Data Platform - Morningstar, Inc. - Location: London, United Kingdom (unspecified) - Salary: Not disclosed - Posted: 2026-05-13 - Apply: 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. ### Senior Data Engineer - OKX - Location: Hong Kong, Hong Kong SAR (unspecified) - Salary: Not disclosed - Posted: 2026-04-01 - Apply: 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 ### Data Engineer 5 - Privacy - Netflix - Location: USA - Remote (remote) - Salary: $380K-$610K - Posted: 2025-10-24 - 401(k) match: listed (source-backed) - Source: https://www.askebsa.dol.gov/FOIA%20Files/2024/Latest/F_SCH_H_2024_Latest.zip - Apply: 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; ### Cloud Enablement Engineering - Confluent - Location: IN Remote India (remote) - Salary: Not disclosed - Posted: 2026-06-12 - Apply: 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 ### Senior Software Engineer - II - Confluent - Location: Remote, India | Remote (remote) - Salary: Not disclosed - Posted: 2026-06-10 - Apply: 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 ### Software Engineer, Distributed Data Systems - Exa - Location: San Francisco, California | OnSite (onsite) - Salary: Not disclosed - Posted: 2026-06-10 - Apply: 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 ### Software Development Engineer, AWS EMR - Amazon - Location: East Palo Alto, California, USA (unspecified) - Salary: $165K-$224K - Posted: 2026-05-28 - Parental leave: 6 weeks (not source-backed) - Non-birth-parent leave: 6 weeks (not source-backed) - Apply: 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 ### Senior Software Engineer (L5) - Personalization Data - Netflix - Location: USA - Remote (remote) - Salary: $388K-$619K - Posted: 2026-05-07 - 401(k) match: listed (source-backed) - Source: https://www.askebsa.dol.gov/FOIA%20Files/2024/Latest/F_SCH_H_2024_Latest.zip - Apply: 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 ### Software Engineer, Data Orchestration - Stripe - Location: N/A (unspecified) - Salary: Not disclosed - Posted: 2026-06-07 - 401(k) match: listed (source-backed) - Source: https://www.askebsa.dol.gov/FOIA%20Files/2024/Latest/F_SCH_H_2024_Latest.zip - Apply: 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 ### Data Engineer II - McDonald's - Location: Country India (unspecified) - Salary: Not disclosed - Posted: 2026-06-12 - Apply: 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 ### Software Development Engineer, AWS EMR - Amazon - Location: East Palo Alto, California, USA (unspecified) - Salary: $165K-$224K - Posted: 2026-05-29 - Parental leave: 6 weeks (not source-backed) - Non-birth-parent leave: 6 weeks (not source-backed) - Apply: https://www.amazon.jobs/en/jobs/10435071/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?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 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 customers use EMR for ### Sr. Software Development Engineer, EMR Managed Scaling - Amazon - Location: East Palo Alto, California, USA (unspecified) - Salary: $193K-$262K - Posted: 2026-03-18 - Parental leave: 6 weeks (not source-backed) - Non-birth-parent leave: 6 weeks (not source-backed) - Apply: https://www.amazon.jobs/en/jobs/3208421/sr-software-development-engineer-emr-managed-scaling - Excerpt: Sr. Software Development Engineer, EMR Managed Scaling 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 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 ### Member of Technical Staff - Data Platform - xAI - Location: Palo Alto, CA (unspecified) - Salary: $180K-$440K - Posted: 2025-07-29 - Apply: 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 ### Senior Software Engineer (L5) - Analysis - Netflix - Location: USA - Remote (remote) - Salary: $388K-$558K - Posted: 2026-03-27 - 401(k) match: listed (source-backed) - Source: https://www.askebsa.dol.gov/FOIA%20Files/2024/Latest/F_SCH_H_2024_Latest.zip - Apply: 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 ### Senior Software Engineer - Data Platform - Terminal - Location: 📍 Toronto, ON | Hybrid | Remote (hybrid) - Salary: Not disclosed - Posted: 2026-06-10 - Apply: 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 ### Sr. Software Development Engineer, EMR - Amazon - Location: East Palo Alto, California, USA (unspecified) - Salary: $193K-$262K - Posted: 2026-05-28 - Parental leave: 6 weeks (not source-backed) - Non-birth-parent leave: 6 weeks (not source-backed) - Apply: 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 ### Software Engineer (L5) - Experimentation Platform - Netflix - Location: USA - Remote (remote) - Salary: $380K-$610K - Posted: 2026-03-27 - 401(k) match: listed (source-backed) - Source: https://www.askebsa.dol.gov/FOIA%20Files/2024/Latest/F_SCH_H_2024_Latest.zip - Apply: 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 ### Senior Machine Learning Engineer - RTB House - Location: Warsaw, Masovian Voivodeship, Poland (unspecified) - Salary: Not disclosed - Posted: 2026-06-07 - Apply: 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 ### Senior Software Engineer, Apple Services Engineering - Apple - Location: Cupertino, United States of America (unspecified) - Salary: $181K-$318K - Posted: 2026-05-29 - 401(k) match: listed (source-backed) - Source: https://www.askebsa.dol.gov/FOIA%20Files/2024/Latest/F_SCH_H_2024_Latest.zip - Apply: 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 ### Software Engineer, Managed Service for Apache Spark - Google - Location: Kirkland, WA, USA (unspecified) - Salary: $147K-$211K - Posted: 2026-06-05 - Parental leave: 18 weeks (not source-backed) - Non-birth-parent leave: 18 weeks (not source-backed) - 401(k) match: listed (source-backed) - Source: https://www.askebsa.dol.gov/FOIA%20Files/2024/Latest/F_SCH_H_2024_Latest.zip - Apply: https://www.google.com/about/careers/applications/signin?jobId=CiUAL2FckSoKfej6tkDoHWWyTYhqRRFQ6QvRabsR69kvc1jSYT5HEjsACxwdTGQtqxSPCLThlrG9kUUmczrUldmUnEqQ_jED7ylw9PpOGzCxUNlwp9KQgKGq0-9v5fShjiUXdw%3D%3D_V2&loc=US&title=Software+Engineer - Excerpt: Software Engineer, Managed Service for Apache Spark Kirkland, WA, USA Google's software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. Our products need to handle information at massive scale, and extend well beyond web search. We're looking for engineers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile; the list goes on and is growing every day. As a software engineer, you will work on a specific project critical to Google's needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve. We need our engineers to be versatile, display leadership qualities and be enthusiastic to take on new problems across the full-stack as we continue to push technology forward. Managed Service for Apache Spark enables open source data analytics users (Apache Hadoop, Spark, Presto, Flink, etc.) to lift and modernize their workloads into the cloud. It is a fast, easy-to-use, fully managed cloud service for running Apache Spark, Apache Hadoop and dozens of other OSS softwares in a simpler, performant and cost-efficient way. Operations that take hours or days now complete in seconds or minutes, and the customer pays only for the resources they use (with per-second billing). Managed Service for Apache Spark also easily integrates with other Google Cloud Platform (GCP) services like BigQuery, Dataplex (governance, lineage), Catalogs/Meta stores to ### Middle DevOps Engineer - PandaDoc - Location: Remote (Portugal) (remote) - Salary: Not disclosed - Posted: 2026-05-15 - Apply: https://job-boards.greenhouse.io/pandadoc/jobs/7930463 - Excerpt: Middle DevOps Engineer Remote (Portugal) We are seeking a proactive and self-sufficient DevOps Engineer to join our team. You will be instrumental in the design, construction, and maintenance of our core infrastructure. Your focus will be on enhancing the entire developer experience by owning the shared infrastructure tools, services, and environments that enable speed, reliability, and security across the organization. Your Mission for 2026: You will play a key role in evolving our infrastructure into a more autonomous, self-service platform. Over the first 6 - 12 months, your impact will be focused on: - Infrastructure Evolution: Driving the IaC 2.0 initiative - modernizing our Terragrunt-based repositories, eliminating configuration drift, and ensuring 100% IaC coverage. You will explore and implement AI-driven tools for configuration reviews and impact analysis, reducing human error and support burden. - GitOps Evaluation: Leading the evaluation of GitOps for three strategic use-cases: simplifying K8s cluster configurations, managing Staging environment states, and potentially replacing current CD implementations for our products. - Platform Reliability: Enhancing EKS control plane observability and experimenting with nftables adoption to improve network performance and stability. About Our Environment Our product supports over 67k B2B customers, managing business-critical document workflows that demand top availability and performance even under high load. Our highly resilient infrastructure runs on AWS and Kubernetes (EKS). We operate a service-oriented architecture comprising hundreds of microservices written primarily in Python and Java. Services interact using synchronous protocols (NATS, gRPC) and asynchronous, event-driven operations (RabbitMQ, Kafka, Debezium, and Flink). We manage hundreds of ### Senior Software Engineer - JVM Language Clients - ClickHouse - Location: United States (remote) (remote) - Salary: $141K-$232K - Posted: 2026-04-22 - Apply: 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 ### Director, Data Platform Engineering - Lila Sciences - Location: San Francisco, CA USA (unspecified) - Salary: $232K-$346K - Posted: 2026-04-01 - Apply: 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 ### Software Engineer, Machine Learning Platform - Chime - Location: San Francisco, CA, USA (unspecified) - Salary: Not disclosed - Posted: 2026-05-15 - Apply: 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 ### Senior Software Engineer - Python and Data Ecosystem - ClickHouse - Location: United States (Remote) (remote) - Salary: $141K-$232K - Posted: 2026-04-05 - Apply: https://job-boards.greenhouse.io/clickhouse/jobs/5842100004 - Excerpt: Senior Software Engineer - Python and Data Ecosystem 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 broader data ecosystem. We build and maintain the integrations that make ClickHouse accessible to millions of developers, data practitioners, and AI agents worldwide from high-level data visualization plugins (Tableau, PowerBI, Superset, Metabase) to connectors for data frameworks (Apache Spark, Flink, Kafka Connect, Fivetran), orchestration platforms, and AI tooling. Our work directly shapes how companies process massive datasets: real-time analytics platforms ingesting millions of events per second, observability systems monitoring global infrastructure, and increasingly, the AI-powered data applications redefining how teams work with data. We collaborate closely with the open-source community, internal teams, and enterprise users to ensure ClickHouse integrations set the standard for performance, reliability, ### Software Dev Engineer, Cradle (Accuro) - Amazon - Location: Detroit, Michigan, USA (unspecified) - Salary: $144K-$194K - Posted: 2026-06-01 - Parental leave: 6 weeks (not source-backed) - Non-birth-parent leave: 6 weeks (not source-backed) - Apply: 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 ### Senior Software Engineering Manager, Dataproc, Google Cloud - Google - Location: Sunnyvale, CA, USA (unspecified) - Salary: $262K-$365K - Posted: 2026-06-05 - Parental leave: 18 weeks (not source-backed) - Non-birth-parent leave: 18 weeks (not source-backed) - 401(k) match: listed (source-backed) - Source: https://www.askebsa.dol.gov/FOIA%20Files/2024/Latest/F_SCH_H_2024_Latest.zip - Apply: https://www.google.com/about/careers/applications/signin?jobId=CiUAL2Fcka2tAAr-M7PvKIKrkZBzzdovaqXLoLuTbQcApLPOLPLXEjsACxwdTNEJOuwVbs3LLOrMZQoIeocnHQ2yrDXb1xbPk1Au0HB4NWnrPHLlP9rBdDmbJIN0bLXbF-m-AQ%3D%3D_V2&loc=US&title=Senior+Software+Engineering+Manager - Excerpt: Senior Software Engineering Manager, Dataproc, Google Cloud Sunnyvale, CA, USA Google's software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. Our products need to handle information at massive scale, and extend well beyond web search. We're looking for engineers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile; the list goes on and is growing every day. As a software engineer, you will work on a specific project critical to Google's needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve. We need our engineers to be versatile, display leadership qualities and be enthusiastic to take on new problems across the full-stack as we continue to push technology forward. With your extensive technical expertise you take initiative to independently design and implement new systems, designing, implementing, and testing multiple features with little or no direction from tech lead or manager. You collaborate with key stakeholders to determine future direction of work. Google Cloud Dataproc delivers fully managed Apache Spark, Flink, and Trino at planetary scale. In this role, you will build an AI-ready platform with native GPU support and specialized runtimes (PyTorch, TensorFlow) integrated with Vertex AI. You will help us define the unified open lakehouse of tomorrow-bridging Apache Iceberg, Delta, and Hudi with enterprise-grade security. Google Cloud accelerates every organization's ### Senior Software Engineer - LanceDB - Location: HQ | Remote (remote) - Salary: Not disclosed - Posted: 2026-06-10 - Apply: 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, ### Senior Software Engineer, Managed Spark, Open Source - Google - Location: Sunnyvale, CA, USA (unspecified) - Salary: $174K-$253K - Posted: 2026-06-05 - Parental leave: 18 weeks (not source-backed) - Non-birth-parent leave: 18 weeks (not source-backed) - 401(k) match: listed (source-backed) - Source: https://www.askebsa.dol.gov/FOIA%20Files/2024/Latest/F_SCH_H_2024_Latest.zip - Apply: https://www.google.com/about/careers/applications/signin?jobId=CiUAL2Fckezv_mwR3y3mTVs2fhOOt1O4X2BY9b1B8miTZfGMU6ghEjsACxwdTEz5OfdcckPyKa-27qmmKfa89n5OBJlmHHHeD5JF8fXkxfMyx48QLE2fewv69u-xR6E9tKHZVg%3D%3D_V2&loc=US&title=Senior+Software+Engineer - Excerpt: Senior Software Engineer, Managed Spark, Open Source Sunnyvale, CA, USA Google's software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. Our products need to handle information at massive scale, and extend well beyond web search. We're looking for engineers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile; the list goes on and is growing every day. As a software engineer, you will work on a specific project critical to Google's needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve. We need our engineers to be versatile, display leadership qualities and be enthusiastic to take on new problems across the full-stack as we continue to push technology forward. Cloud Dataproc enables open source data analytics users (e.g., Apache Hadoop, Spark, Flink, Trino, etc.) to modernize their Open-Source BigData Analytics workloads in the cloud. Dedicated to meeting customers where they are, Dataproc enables users to quickly provision and manage clusters and workloads. Google Cloud accelerates every organization's ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google's cutting-edge technology, and tools that help developers build more sustainably. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems. Individual pay is ### Software Development Engineer, Amazon Data Firehose - Amazon - Location: East Palo Alto, California, USA (unspecified) - Salary: $165K-$224K - Posted: 2026-05-28 - Parental leave: 6 weeks (not source-backed) - Non-birth-parent leave: 6 weeks (not source-backed) - Apply: 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 ### Sr. Software Development Engineer, Measurement, Ad Tech, and Data Science - Amazon - Location: Santa Monica, California, USA (unspecified) - Salary: $168K-$227K - Posted: 2026-06-02 - Parental leave: 6 weeks (not source-backed) - Non-birth-parent leave: 6 weeks (not source-backed) - Apply: 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 ### Senior Data Platform Engineer - SumUp - Location: Berlin, Germany (unspecified) - Salary: Not disclosed - Posted: 2026-01-28 - Apply: 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 ### Staff Software Engineer, Stream Compute - Stripe - Location: San Francisco, Seattle, New York, Toronto (unspecified) - Salary: Not disclosed - Posted: 2026-06-07 - 401(k) match: listed (source-backed) - Source: https://www.askebsa.dol.gov/FOIA%20Files/2024/Latest/F_SCH_H_2024_Latest.zip - Apply: 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 ### Software Engineer, Apple Services Engineering - Apple - Location: Cupertino, United States of America (unspecified) - Salary: $147K-$272K - Posted: 2026-04-17 - 401(k) match: listed (source-backed) - Source: https://www.askebsa.dol.gov/FOIA%20Files/2024/Latest/F_SCH_H_2024_Latest.zip - Apply: 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. ### Senior Software Engineer - Java Streaming - Connectors - ClickHouse - Location: United States (Remote) (remote) - Salary: $126K-$232K - Posted: 2026-05-22 - Apply: 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 ### Director, Data Engineering — Customer Success Score - Salesforce - Location: California - San Francisco; Washington - Seattle (unspecified) - Salary: $238K-$345K - Posted: 2026-06-04 - Parental leave: 26 weeks (not source-backed) - Non-birth-parent leave: 12 weeks (not source-backed) - 401(k) match: listed (source-backed) - Source: https://www.askebsa.dol.gov/FOIA%20Files/2024/Latest/F_SCH_H_2024_Latest.zip - Apply: 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 ### Data Platform Engineering Manager - 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: 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 ### Senior Software Development Engineer, AI Data Platform - Oracle - Location: United States, US (unspecified) - Salary: $79K-$178K - Posted: 2026-06-02 - Parental leave: 14 weeks (not source-backed) - Non-birth-parent leave: 14 weeks (not source-backed) - 401(k) match: listed (source-backed) - Source: https://www.askebsa.dol.gov/FOIA%20Files/2024/Latest/F_SCH_H_2024_Latest.zip - Apply: 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). ### Senior Staff Software Engineer, Indexing & Retrieval Platform - Reddit, Inc. - Location: Remote - United States (remote) - Salary: $279K-$391K - Posted: 2026-04-22 - Apply: 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 ### Data Engineering - Unisys CORP - Location: Bangalore, KA, India (unspecified) - Salary: Not disclosed - Posted: 2026-06-04 - 401(k) match: listed (source-backed) - Source: https://www.askebsa.dol.gov/FOIA%20Files/2024/Latest/F_SCH_H_2024_Latest.zip - Apply: 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 ### Principal Software Engineer, Apple Data Platform - Apple - Location: Cupertino, United States of America (unspecified) - Salary: $212K-$386K - Posted: 2026-02-02 - 401(k) match: listed (source-backed) - Source: https://www.askebsa.dol.gov/FOIA%20Files/2024/Latest/F_SCH_H_2024_Latest.zip - Apply: 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 ### Software Development Engineer II, Amazon Security Data Engineering - Amazon - Location: Herndon, Virginia, USA (unspecified) - Salary: $144K-$194K - Posted: 2026-06-11 - Parental leave: 6 weeks (not source-backed) - Non-birth-parent leave: 6 weeks (not source-backed) - Apply: 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 ### Member of Technical Staff (Software Engineer, Data Platform) - Perplexity - Location: San Francisco, California, United States, New York City, Palo Alto (unspecified) - Salary: Not disclosed - Posted: 2026-06-03 - Apply: 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 ### Principal Software Engineer - PubMatic AgenticOS (Buy Side Bidding Platform) - Pubmatic INC - Location: Redwood City, US (unspecified) - Salary: Not disclosed - Posted: 2026-06-04 - 401(k) match: listed (source-backed) - Source: https://www.askebsa.dol.gov/FOIA%20Files/2024/Latest/F_SCH_H_2024_Latest.zip - Apply: https://pubmatic.com/job/?gh_jid=5122381008 - Excerpt: Principal Software Engineer - PubMatic AgenticOS (Buy Side Bidding Platform) Redwood City, US About the Role We are seeking an experienced Principal Software Engineer - PubMatic AgenticOS to lead the design and development of highly scalable, low-latency buy-side ad tech systems. This role is ideal for someone with deep expertise in Golang, real-time bidding systems, and campaign pacing and optimization algorithms, with strong exposure to DSP / performance advertising domains. As a technical leader, you will own critical components of the bidding and optimization stack, influence system architecture, mentor senior and junior engineers, and work closely with product, ML, and data teams to drive measurable performance outcomes across large-scale advertising campaigns. What You'll Do Architect, design, and build high-throughput, ultra-low-latency real-time bidding systems for buy-side advertising platforms. Lead development of bidder services handling millions of QPS with strict latency and reliability SLAs using Golang/C/C++. Design and implement campaign pacing, budget management, and delivery optimization algorithms across multiple objectives (CPA, ROAS, CTR, CVR). Own core systems for deal execution, auction participation, bid shading, and supply path optimization. Build and evolve real-time and near-real-time data pipelines for impressions, clicks, conversions, and attribution using Kafka, Flink, or Spark. Collaborate closely with ML engineers to productionize models such as bid optimization, contextual bandits, reach forecasting, and incrementality models. Integrate and maintain support for programmatic advertising protocols (OpenRTB, VAST, CTV-specific standards). Drive architectural decisions around scalability, fault tolerance, data consistency, and latency optimization. Ensure data quality, governance, privacy, and compliance across the performance advertising stack. ### Data Engineer I - Amazon - Location: Bengaluru, Karnataka, IND (unspecified) - Salary: Not disclosed - Posted: 2026-06-11 - Parental leave: 6 weeks (not source-backed) - Non-birth-parent leave: 6 weeks (not source-backed) - Apply: 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 ### Asbest Inspecteurs - Eurofins Scientific - Location: Remote | Bergen op Zoom, NB, Netherlands (remote) - Salary: Not disclosed - Posted: 2026-06-12 - Apply: https://jobs.smartrecruiters.com/Eurofins/744000074344383-asbest-inspecteurs - Excerpt: Asbest Inspecteurs Remote | Bergen op Zoom, NB, Netherlands Bedrijfsomschrijving: Ben jij op zoek naar een dynamische, verantwoordelijke en adviserende functie? Voor Eurofins Asbestos Inspections zijn wij per direct op zoek naar Asbest Inspecteurs. In deze functie ben jij het visitekaartje naar onze opdrachtgevers. Ons team en haar activiteiten zijn flink aan het groeien, en groei biedt kansen. Wij zijn dan ook op zoek naar ervaren en/of onervaren asbest inspecteurs die ons team komen versterken. Als enthousiaste inspecteur word je onderdeel van ons team Asbest Inspecties. Een dynamische rol waarin je verantwoordelijkheden kan nemen. Eurofins Scientific is een internationaal beursgenoteerd life sciences bedrijf dat haar klanten voorziet van hoogwaardig laboratoriumonderzoek en advies. Eurofins is wereldwijd marktleider op het gebied van bio-analytische testen voor levensmiddelen, water, milieu, cosmetica, farmaceutische producten en contractresearch voor Agro Science. Daarnaast is Eurofins één van de grootste aanbieders ter wereld in testing en laboratorium services in genomics, forensics, CDMO, advanced material sciences, medicijnontwikkeling en clinical studies. Eurofins maakt daarbij gebruik van een unieke hoeveelheid analysemethoden en een ongekend hoog kennisniveau en expertise. Eurofins bestaat wereldwijd uit ruim 63.000 medewerkers, verdeeld over 950 hypermoderne laboratoria en is actief in 60 landen met een pro-forma omzet van € 6.95 miljard in 2024. Vacatureomschrijving: Wat ga je doen als Asbest Inspecteur? Als Asbest Inspecteur ben je in staat om zelfstandig op diverse locaties in Nederland visuele inspecties en eindmetingen conform geldende wet-, en regelgeving te verrichten. De inspecties en analyses worden verricht nadat een saneerder het asbest verwijderd heeft. --- Source-backed benefit claims include source links; other benefit values are labeled separately.