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About the Role
The Agent Systems team is an 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. 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.
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
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
- Familiarity with data quality frameworks, pipeline observability, and SLA ownership
- Comfortable operating in a fast-moving, ambiguous environment embedded within an AI-focused team
Skills
- Python
- Scala
- SQL
- RisingWave
- Apache Flink
- Kafka Streams
Location
- Remote
Work Type
- Full-time
Experience Level
- 5+ years in data engineering
- 2+ years focused on streaming systems in production
About the Company
- 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.
- 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.
Equal Opportunity
- 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.
- 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.