Senior Software Engineer – AI Infrastructure
About This Role
Overview
- 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 don't fully meet the listed requirements, especially if you're 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
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