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Senior Software Engineer – AI Infrastructure
Kraken Digital Asset ExchangeSenior Software Engineer focused on building AI infrastructure and high-performance systems at Kraken, a leading crypto platform.
Tech Stack
Tools & technologiesDistributed SystemsRust
About the role
Key responsibilities & impact- Design and build the infrastructure layer powering AI agent systems in production
- Develop high-performance Rust services that handle model inference, orchestration, and execution
- Architect scalable systems capable of supporting millions of users and high request throughput
- Build reliable ML infrastructure and MLOps patterns for model deployment, evaluation, and monitoring
- Define guardrails, observability, and failure handling for agent-driven workflows
- Optimize latency, throughput, and cost across inference and orchestration layers
- Partner closely with the Agent Systems team to translate experimental prototypes into hardened production systems
- Contribute to foundational infrastructure decisions in a high-scale, high-impact environment
Requirements
What you’ll need- 5+ years of experience building and operating high-scale production systems
- Strong proficiency in Rust and systems-level programming
- Deep understanding of distributed systems, reliability engineering, and performance optimization
- Experience operating services serving millions of users or high-throughput workloads
- Familiarity with ML infrastructure, model serving, or MLOps in production environments
- Experience designing observability, monitoring, and failure recovery systems
- Strong collaboration skills working across infrastructure and applied engineering teams
- High ownership mindset in high-stakes production environment
Benefits
Comp & perks- Health insurance
- 401(k) matching
- Flexible work hours
- Paid time off
- Remote work options
ATS Keywords
✓ Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
Rustsystems-level programmingdistributed systemsreliability engineeringperformance optimizationML infrastructuremodel servingMLOpsobservabilitymonitoring
Soft Skills
collaborationownership mindset