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Kraken logoK
KrakenEngineeringRemote

Senior Software Engineer – AI Infrastructure

United KingdomFull-timeSeniorSalary: Not disclosed
Posted Oct 14, 2026Deadline: Nov 21, 2026
Job SnapshotActively hiring
LocationUnited Kingdom
Job typeFull-time
SalaryNot disclosed
DeadlineNov 21, 2026

Finjobsly Role Intelligence

Experience level
Senior
Work style
Remote
Visa sponsorship
Not specified
Salary
Not disclosed
Key skills
RustTrading

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Finjobsly Intelligence— Generated from the employer's job description

What you'll own

Design, build, and operate the Rust‑based infrastructure that powers AI agent inference, orchestration, and execution at scale, including observability, guardrails, and failure handling.

What they're looking for

5+ years building high‑scale production systems, strong Rust and systems‑level programming skills, deep knowledge of distributed reliability and performance, plus experience with ML serving or MLOps.

Why this role matters

The platform underpins Kraken’s AI agents that serve millions of users, so reliable, low‑latency infrastructure is critical to the company’s open‑finance mission.

Best suited to

Engineers who thrive in production‑focused, high‑stakes environments, have a strong ownership mindset, and enjoy turning experimental ML prototypes into hardened, high‑throughput services.

Fintech requirements

Visa sponsorship: No
Work arrangement: remote

About this role

Building the Future of Open Finance

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.

The team

Founded in 2011, Kraken is one of the world's longest-standing crypto platforms, trusted by over 10 million individuals and institutions across the globe. It offers spot trading, margin, futures, staking, and OTC services, with products built for both individual investors and institutional clients.

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

What You Bring

  • 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.

Our commitment

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.

We may ask candidates to complete job-related skills or work-style assessments as part of our hiring process. These assessments evaluate competencies relevant to the role and are applied consistently across candidates for similar positions. Results are considered alongside 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 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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More about this role

About company

Kraken logoK

Kraken

See website for more.

Full employer profile →Company website ↗

Required skills

RustTrading

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More Software Engineering Jobs→More jobs at Kraken→Rust jobs →Trading jobs →Salary benchmarks for this role →Browse all fintech jobs →

Kraken

Senior Software Engineer – AI Infrastructure

United KingdomSalary: Not disclosed

Company insights

62

Happiness score

62/100

Based on 40 verified employee signals

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