Senior Data Engineer - AI Infrastructure

Kraken

1d • $110,400 - $220,800

About The Position

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 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.

Requirements

• 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

Responsibilities

• 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

Benefits

• 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.
• 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.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Education Level: No Education Listed