Kraken

Senior Software Engineer – AI Infrastructure

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SeniorZdalnie·LondynFull-time

#296740·Dodano 8 miesięcy temu·61

Źródło: Kraken

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Tech Stack / Keywords

AIBlockchainSecurityRustMLOpsLLMNetworkingCloud

Firma i stanowisko

Kraken is a mission-focused company rooted in crypto values, aiming to accelerate the global adoption of crypto for financial freedom and inclusion. It is a fully remote company with employees in over 70 countries, developing premium crypto products for traders, institutions, and newcomers. The AI Infrastructure team builds and operates production systems powering intelligent agents at scale, ensuring reliability, observability, and performance under real-world load.

Wymagania

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

Nice to have:

Experience building infrastructure for agent-based or LLM-powered systems
Background in high-performance networking, async systems, or low-latency architectures
Experience with container orchestration and cloud-native infrastructure
Familiarity with evaluation frameworks and model performance monitoring at scale
Experience working in fast-moving 0→1 or platform-building teams

Obowiązki

The opportunity:

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

Inne informacje

Applicants may redact or remove information on their resume that identifies age, date of birth, or dates of attendance at or graduation from an educational institution. The company considers qualified applicants with criminal histories consistent with the San Francisco Fair Chance Ordinance. Kraken is an equal opportunity employer and does not tolerate discrimination or harassment based on protected characteristics as outlined by federal, state, or local laws.

Kraken

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