Kraken

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. 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. The Agent Systems team is a 0 1 engineering group building internal AI-powered agents that interact directly with company systems. The mandate is to dramatically increase internal speed of execution through automation, intelligent inference, and workflow orchestration. This team operates at the intersection of AI, backend systems, and applied product engineering. The work is pragmatic and fast-moving - prototypes are expected, but the bar for production reliability remains high. Engineers on this team move fluidly between experimentation and shipping, building systems that reason over user interactions and take meaningful action across internal tools. You'll work closely with cross-functional partners across product, infrastructure, and internal operations to deploy agent-driven capabilities that compound leverage across the organization. The opportunity Own and evolve streaming data pipelines that power live inference and real-time model serving across Kraken's AI infrastructure Design and build feature stores that serve low-latency, high-reliability features to production ML models Implement and maintain streaming systems using RisingWave, Apache Flink, or Kafka Streams, selecting the right tool for the workload Partner with ML engineers and AI infra teams to define data contracts, feature schemas, and pipeline SLAs Drive pipelines toward real-time where batch exists today reducing latency from hours to seconds Ensure data quality, observability, and auditability across all streaming and feature engineering systems Contribute to inference pipeline tooling where data engineering and model serving intersect Evaluate emerging streaming and feature store technologies and shape the team's technical roadmap What You Bring 5+ years in data engineering with at least 2 years focused on streaming systems in production Hands on experience with RisingWave, Apache Flink, Kafka Streams, or comparable stream processing frameworks Strong understanding of feature store design - online/offline consistency, point in time correctness, low latency serving Experience building data pipelines that feed production ML models or inference systems Proficiency in Python and/or Scala; SQL fluency required Familiarity with data quality frameworks, pipeline observability, and SLA ownership Comfortable operating in a fast moving, ambiguous environment embedded within an AI focused team Nice to haves Direct experience with RisingWave in production Exposure to inference pipeline architecture or model serving infrastructure Experience with feature platforms Crypto or fintech domain experience Unless a specific application deadline is stated in the job posting, applications are accepted on an ongoing basis. Please note, applicants are permitted to redact or remove information on their resume that identifies age, date of birth, or dates of attendance at or graduation from an educational institution. We consider qualified applicants with criminal histories for employment on our team, assessing candidates in a manner consistent with the requirements of the San Francisco Fair Chance Ordinance. As an equal opportunity employer, we don't tolerate discrimination or harassment of any kind, whether based on race, ethnicity, age, gender identity, citizenship, religion, sexual orientation, disability, pregnancy, veteran status, or any other protected characteristic as outlined by federal, state, or local laws.

Kraken is seeking a Data Engineer in Greater London to own and evolve streaming data pipelines that power real-time model serving across our AI infrastructure. You will design and build feature stores, implementing low-latency solutions and ensuring high data quality. The ideal candidate has 5+ years in data engineering with a focus on streaming systems in production and expertise in Python or Scala. Join our dynamic team at the forefront of open finance.

Kraken is looking for a skilled Data Engineer to own and evolve streaming data pipelines that power Kraken's AI infrastructure. The ideal candidate will have over 5 years of experience in data engineering, specifically with streaming systems, and be proficient in Python and SQL. This role involves designing feature stores for real-time model serving, ensuring data quality, and contributing to the development of inference pipeline tooling, all within a dynamic AI-focused environment.

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. The opportunity Own and evolve streaming data pipelines that power live inference and real-time model serving across Kraken's AI infrastructure Design and build feature stores that serve low-latency, high-reliability features to production ML models Implement and maintain streaming systems using RisingWave, Apache Flink, or Kafka Streams, selecting the right tool for the workload Partner with ML engineers and AI infra teams to define data contracts, feature schemas, and pipeline SLAs Drive pipelines toward real-time where batch exists today reducing latency from hours to seconds Ensure data quality, observability, and auditability across all streaming and feature engineering systems Contribute to inference pipeline tooling where data engineering and model serving intersect Evaluate emerging streaming and feature store technologies and shape the team's technical roadmap What You Bring 5+ years in data engineering with at least 2 years focused on streaming systems in production Hands on experience with RisingWave, Apache Flink, Kafka Streams, or comparable stream processing frameworks Strong understanding of feature store design - online/offline consistency, point in time correctness, low latency serving Experience building data pipelines that feed production ML models or inference systems Proficiency in Python and/or Scala; SQL fluency required Familiarity with data quality frameworks, pipeline observability, and SLA ownership Comfortable operating in a fast moving, ambiguous environment embedded within an AI focused team Nice to haves Direct experience with RisingWave in production Exposure to inference pipeline architecture or model serving infrastructure Experience with feature platforms Crypto or fintech domain experience We consider qualified applicants with criminal histories for employment on our team, assessing candidates in a manner consistent with the requirements of the San Francisco Fair Chance Ordinance. As an equal opportunity employer, we don't tolerate discrimination or harassment of any kind, whether based on race, ethnicity, age, gender identity, citizenship, religion, sexual orientation, disability, pregnancy, veteran status, or any other protected characteristic as outlined by federal, state, or local laws.

Kraken is seeking a Senior Data Analyst, Growth to enhance product decisions through data-driven insights. This senior role will involve owning the Growth domain, building data infrastructure, and leading experimentation efforts. The successful candidate will influence team direction and work autonomously, ensuring quality and efficiency. Ideal candidates will have over 10 years of experience in analytics within fintech or crypto, mastery of SQL and Python, and a background in building data models. The role allows for remote work, attracting proactive and skilled individuals.

Kraken is seeking an experienced Senior Software Engineer to join our Payments & Blockchain team focused on payment systems. You will build secure systems that handle client transactions across various blockchains. The ideal candidate has 5+ years of software development experience, profound skills in JavaScript/TypeScript, and expertise in React. Join us to enhance the security and efficiency of our payment platforms.

Senior Software Engineer, Payments & Blockchain Team We are currently seeking an experienced Senior Software Engineer to join our growing Payments & Blockchain team to be focused on our payment systems. The Payments & Blockchain team is responsible for the first and last mile of every dollar (digital or fiat) that goes in or out of Kraken. Join our Payments team to help integrate Kraken's systems with an ever-expanding universe of payment providers. As a member of this team, your focus is on protecting client funds. You will be responsible for building systems that communicate with various blockchains to enable the timely processing of client transactions, while also ensuring the safety and security of all funds on the exchange. Responsibilities Design, develop, and maintain high-quality payment processing systems using React.js and other relevant technologies Build and refine seamless transaction experiences that optimize fund transfers for speed, security, and reliability Ensure an efficient and intuitive onboarding experience for users interacting with payment systems, reducing friction and improving trust Develop innovative features that enhance engagement, retention, and loyalty within the payments ecosystem Set the standard for high-quality, secure code and lead the development of complex financial software systems Influence technical decisions, contribute to strategy discussions, and shape product/domain decisions with a deep understanding of financial systems and security best practices Mentor engineers, foster a culture of technical excellence, and drive process improvements in financial software development Design and implement scalable, maintainable, and fault-tolerant financial systems, ensuring compliance and security best practices Qualifications 5+ years of experience in software development, with a focus on web and mobile applications Deep understanding of JavaScript/TypeScript and proficiency with React and React Native frameworks Experience with Next.js, RESTful APIs and WebSockets Experience with frontend testing frameworks Familiarity with modern front-end build pipelines and tooling Strong understanding of UI/UX best practices and principles Experience within a large technology organization or fast growing startup Strong written and verbal communication skills in English Nice to Haves Knowledge of the cryptocurrency industry and blockchain technology Application & EEO Unless a specific application deadline is stated in the job posting, applications are accepted on an ongoing basis. Please note, applicants are permitted to redact or remove information on their resume that identifies age, date of birth, or dates of attendance at or graduation from an educational institution. We consider qualified applicants with criminal histories for employment on our team, assessing candidates in a manner consistent with the requirements of the San Francisco Fair Chance Ordinance. As an equal opportunity employer, we don't tolerate discrimination or harassment of any kind. Whether that's based on race, ethnicity, age, gender identity, citizenship, religion, sexual orientation, disability, pregnancy, veteran status or any other protected characteristic as outlined by federal, state or local laws.