Senior Software Engineer AI Infrastructure

Job Description

• Building the Future of Crypto
• Our Krakenites are a world-class team with crypto conviction, united by our desire to discover and unlock the potential of crypto and blockchain technology.
• What makes us different?
• Kraken is a mission-focused company rooted in crypto values.
• As a Krakenite, you’ll join us on our mission to accelerate the global adoption of crypto, so that everyone can achieve financial freedom and inclusion.
• For over a decade, Kraken’s focus on our mission and crypto ethos has attracted many of the most talented crypto experts in the world.
• Before you apply, please read the Kraken Culture page to learn more about our internal culture, values, and mission.
• We also expect candidates to familiarize themselves with the Kraken app.
• Learn how to create a Kraken account here.
• As a fully remote company, we have Krakenites in 70+ countries who speak over 50 languages.
• Krakenites are industry pioneers who develop premium crypto products for experienced traders, institutions, and newcomers to the space.
• Kraken is committed to industry-leading security, crypto education, and world-class client support through our products like Kraken Pro, Desktop, Wallet, and Kraken Futures.
• Become a Krakenite and build the future of crypto!
• Proof of work
• The team
• The AI Infrastructure team builds and operates the production systems that power intelligent agents at scale.
• This team sits at the foundation of the agent platform, ensuring that model inference, orchestration, and execution layers are reliable, observable, and performant under real-world load.
• Working closely with the Agent Systems team and broader infrastructure partners, this group owns the core primitives that enable agents to safely operate across internal systems.
• The environment is high-scale and high-stakes — systems serve millions of users and must meet strict reliability, latency, and correctness standards.
• This is a deeply production-oriented team.
• Engineers here combine strong systems thinking with applied ML infrastructure experience, building in Rust and operating services where performance and failure modes matter.
• 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

Skills You Should Hodl

• 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 haves
• 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
• *Unless a specific application deadline is stated in the job posting, applications are accepted on an ongoing basis.*
• *Please note, applicants are permitted to redact or remove information on their resume that identifies age, date of birth, or dates of attendance at or graduation from an educational institution.*
• *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.*
• Kraken is powered by people from around the world and we celebrate all Krakenites for their diverse talents, backgrounds, contributions and unique perspectives.
• We hire strictly based on merit, meaning we seek out the candidates with the right abilities, knowledge, and skills considered the most suitable for the job.
• We encourage you to apply for roles where you dont fully meet the listed requirements, especially if youre passionate or knowledgable about crypto!
• We may ask candidates to complete job-related skills or work-style assessments as part of our hiring process.
• These assessments are designed to evaluate competencies relevant to the role and are applied consistently across candidates for similar positions.
• Assessment results are considered alongside other relevant information, such as experience and interviews, and are not the sole basis for any employment decision.
• As an equal opportunity employer, we don’t tolerate discrimination or harassment of any kind.
• Whether that’s 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.
• Stay in the know
• Follow us on Twitter
• Learn on the Kraken Blog
• Connect on LinkedIn

Job Details

About The Company

Report