Senior Data Engineer - AI Infrastructure at Kraken

<h1><strong>Building the Future of Open Finance</strong><br /></h1><p style="min-height:1.5em">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.</p><p style="min-height:1.5em"><br />Before you apply, we encourage you to explore our <a target="_blank" rel="noopener noreferrer nofollow" href="https://www.kraken.com/culture"><u>culture page</u></a> to understand what drives us and how we work.</p><h1><strong>Proof of work</strong></h1><div style="min-height:1.2em;margin-top:0;margin-bottom:0"> </div><h2><strong>The team</strong></h2><p style="min-height:1.5em">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.</p><p style="min-height:1.5em">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.</p><div style="min-height:1.2em;margin-top:0;margin-bottom:0"> </div><h2><strong>The opportunity</strong></h2><ul style="min-height:1.5em"><li><p style="min-height:1.5em">Own and evolve streaming data pipelines that power live inference and real-time model serving across Kraken's AI infrastructure</p></li><li><p style="min-height:1.5em">Design and build feature stores that serve low-latency, high-reliability features to production ML models</p></li><li><p style="min-height:1.5em">Implement and maintain streaming systems using RisingWave, Apache Flink, or Kafka Streams, selecting the right tool for the workload</p></li><li><p style="min-height:1.5em">Partner with ML engineers and AI infra teams to define data contracts, feature schemas, and pipeline SLAs</p></li><li><p style="min-height:1.5em">Drive pipelines toward real-time where batch exists today reducing latency from hours to seconds</p></li><li><p style="min-height:1.5em">Ensure data quality, observability, and auditability across all streaming and feature engineering systems</p></li><li><p style="min-height:1.5em">Contribute to inference pipeline tooling where data engineering and model serving intersect</p></li><li><p style="min-height:1.5em">Evaluate emerging streaming and feature store technologies and shape the team's technical roadmap</p></li></ul><div style="min-height:1.2em;margin-top:0;margin-bottom:0"> </div><h2><strong>What You Bring</strong></h2><ul style="min-height:1.5em"><li><p style="min-height:1.5em">5+ years in data engineering with at least 2 years focused o