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Senior Software Engineer – AI Infrastructure

Kraken - United Kingdom, London, Canada, Portugal, Spain, Poland, Ireland, Brazil, Romania, Czech Republic, Cyprus, Mexico, Costa Rica, Peru, Panama, Estonia, Hungary, Bulgaria, Latvia, Slovenia, Argentina, South Africa

Posted Jun 2, 2026

Benefits

Parental leave
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Non-birth-parent leave
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Family-building benefits
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  • Surrogacy assistance: Not verified
Mental health support
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Relocation assistance
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Childcare support
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Learning budget
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Market context

U.S. role benchmark (BLS OEWS)
$111,944 U.S. median for this role
Projected growth (BLS Employment Projections)
+13.7% - Much faster than average

Matched to SOC 15-1252 - Data and ML aggregate by role bucket.

Source: U.S. Bureau of Labor Statistics, OEWS, May 2024 and Employment Projections, 2024-2034.

Schedule

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Weekend work
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Application

Cover letter
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Assessment
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Deadline
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Where they hire

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About this role

Senior Software Engineer – AI Infrastructure United Kingdom, London, Canada, Portugal, Spain, Poland, Ireland, Brazil, Romania, Czech Republic, Cyprus, Mexico, Costa Rica, Peru, Panama, Estonia, Hungary, Bulgaria, Latvia, Slovenia, Argentina, South Africa 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. Before you apply, we encourage you to explore our culture page to understand what drives us and how we work. 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

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