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    Home/Jobs/Senior Software Engineer – AI Infrastructure

    Senior Software Engineer – AI Infrastructure

    Kraken

    Argentina / Brazil / Bulgaria / Canada / Costa Rica
    5+ years
    24 days ago
    ₹18–35 LPA
    Full-time
    Remote

    Skills Required

    Rust
    systems-level programming
    distributed systems
    reliability engineering
    performance optimization
    ML infrastructure
    model serving
    MLOps

    Description

    Building the Future of Open Finance. Kraken is one of the world's longest-standing crypto platforms, trusted by over 10 million individuals and institutions across the globe.

    Company: Kraken

    Role: Senior Software Engineer – AI Infrastructure

    Location: United Kingdom; Argentina; Brazil; Bulgaria; Canada; Costa Rica; Cyprus; Czech Republic; Estonia; Hungary; Ireland; Latvia; Mexico; Panama; Peru; Poland; Portugal; Romania; Slovenia; South Africa; Spain, Remote

    Experience:

    • 5+ years of experience building and operating high-scale production systems
    • Experience operating services serving millions of users or high-throughput workloads
    • Experience designing observability, monitoring, and failure recovery systems

    Key Skills:

    • Rust
    • systems-level programming
    • distributed systems
    • reliability engineering
    • performance optimization
    • ML infrastructure
    • model serving
    • MLOps

    Role Focus: • 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

    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

    Other:

    • 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.
    • Payward is powered by people from around the world and we celebrate the diverse talents, backgrounds, contributions, and unique perspectives that everyone brings to the table.
    • We hire based on merit, seeking out people with the right abilities, knowledge, and skills for the job.
    • 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.

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