Senior Software Engineer – Ai Infrastructure

Kraken; Lisboa; On-site; EUR 90,000 - 130,000; Full time

Job summary

Kraken is seeking a Senior Software Engineer for AI Infrastructure in Lisbon. You will design and build high‑scale Rust services powering model inference, orchestration, and execution for production agent systems.

This role demands deep knowledge of distributed systems, reliability engineering, and performance optimization, with experience operating services serving millions of users. You’ll collaborate with the Agent Systems team to turn prototypes into hardened production systems and

Qualifications

• 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.

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.

Skills

Rust

Distributed systems

Reliability engineering

Performance optimization

Job description

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. 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

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.

Senior Software Engineer – Ai Infrastructure • Lisbon, Portuguese Republic, PT