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Senior Software Engineer – AI Infrastructure

Kraken·Salary not specified

Primary stack

RustCloud Monitoring

Job description

About the Position

Senior Software Engineer – AI Infrastructure

We are seeking a Senior Software Engineer – AI Infrastructure to join our team in a remote position, focusing on building and operating production systems for AI agents.

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.

Kraken, founded in 2011, is one of the world's longest-standing crypto platforms, trusted by over 10 million individuals and institutions across the globe. The AI Infrastructure team builds and operates the production systems that power intelligent agents at scale.

Responsibilities

  • 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

  • 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

We Offer

  • Remote work options
  • Competitive salary
  • Opportunity to work in a high-impact, high-scale environment
  • Professional development opportunities

About the Company

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 encourage you to apply for roles where you don't fully meet the listed requirements, especially if you're passionate or knowledgeable about crypto.

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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