Flink jobs

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 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 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 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 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 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 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 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 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 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 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 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 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 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 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 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 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 📍 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 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 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 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

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 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 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