Senior Software Engineer

Kraken Digital Asset Exchange

Design and build the infrastructure layer powering AI agent systems in production; Develop high-performance Rust services that handle model inference, orchestration, and execution

Posted 6/2/2026Verified active Jul 25, 2026, 12:36 AMfull-timeRemote • London • 🇬🇧 United KingdomSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Candidates should emphasize their expertise in designing and building high-performance infrastructure for AI systems, particularly in Rust programming and MLOps practices. Demonstrated experience in optimizing distributed systems for reliability and performance in high-scale production environments is essential.

Highest-signal resume keywords

5+ Years Experience in High-Scale Production SystemsStrong Proficiency in RustDeep Understanding of Distributed SystemsExperience with ML Infrastructure and MLOpsStrong Collaboration Skills

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Rust ProgrammingSystems-Level ProgrammingDistributed SystemsPerformance OptimizationMLOps

Soft Skills

CollaborationOwnership Mindset

Tools & Technologies

ML InfrastructureModel ServingObservability ToolsMonitoring SystemsFailure Recovery Systems

Industry Keywords

AI Agent SystemsHigh-Scale Production SystemsReliability EngineeringPerformance OptimizationHigh-Throughput Workloads

Tech Stack

Tools & technologies

CloudDistributed 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