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Building the Future of Open FinancePayward - 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.Proof of workThe teamFounded 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 AI Infrastructure team builds and operates the production systems that power intelligent agents at scale. This team sits at the foundation of the agent platform, ensuring that model inference, orchestration, and execution layers are reliable, observable, and performant under real-world load.The opportunityOwn and evolve streaming data pipelines that power live inference and real-time model serving across Kraken's AI infrastructureDesign and build feature stores that serve low-latency, high-reliability features to production ML modelsImplement and maintain streaming systems using RisingWave, Apache Flink, or Kafka Streams, selecting the right tool for the workloadPartner with ML engineers and AI infra teams to define data contracts, feature schemas, and pipeline SLAsDrive pipelines toward real-time where batch exists today reducing latency from hours to secondsEnsure data quality, observability, and auditability across all streaming and feature engineering systemsContribute to inference pipeline tooling where data engineering and model serving intersectEvaluate emerging streaming and feature store technologies and shape the team's technical roadmapWhat You Bring5+ years in data engineering with at least 2 years focused on streaming systems in productionHands-on experience with RisingWave, Apache Flink, Kafka Streams, or comparable stream processing frameworksStrong understanding of feature store design — online/offline consistency, point-in-time correctness, low-latency servingExperience building data pipelines that feed production ML models or inference systemsProficiency in Python and/or Scala; SQL fluency requiredFamiliarity with data quality frameworks, pipeline observability, and SLA ownershipComfortable operating in a fast-moving, ambiguous environment embedded within an AI-focused teamNice to havesDirect experience with RisingWave in productionExposure to inference pipeline architecture or model serving infrastructureExperience with feature platformsCrypto or fintech domain experienceUnless 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.Our commitmentPayward is powered by people from around the world and we celebrate the diverse talents, backgrounds, contributions, and unique perspectives that everyone brings to the table. We hire based on merit, seeking out people with the right abilities, knowledge, and skills for the job. We encourage you to apply for roles where you don't fully meet the listed requirements, especially if you're passionate or knowledgeable about crypto.We may ask candidates to complete job-related skills or work-style assessments as part of our hiring process. These assessments evaluate competencies relevant to the role and are applied consistently across candidates for similar positions. Results are considered alongside experience and interviews, and are not the sole basis for any employment decision.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.Stay connectedFollow us on TwitterLearn on the Kraken BlogConnect on LinkedInCandidate Privacy Notice
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