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Senior Software Engineer – AI Infrastructure

Remote from Spain·Full-time·Added 4 days ago (last checked 16 Oct)

Kraken

21 open roles

Overview

Work mode
Remote from Spain
Contract
Full-time
English
Required
Experience
5+ years

Visa options

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Skills

Nice to have

Requirements

What we're looking for

  • 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 have

  • 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

The role

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.

What you'll do

  • 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

Nice to haves

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.

Stay connected

Hiring process

3 steps3 interviewsa task to do
  1. Raise your hand

  2. Talent screen

    With a talent partner

    An initial conversation about role fit, mission alignment, motivation and career ambitions.

  3. Role specific interviews

    With hiring manager, future teammates and key stakeholders

    Interviews exploring your skills, experience and how you operate in context.

  4. Practical exercise

    A real-world case study aligned with your role.

  • The recruiter walks you through what to expect at each stage.

About Kraken

Kraken is a global cryptocurrency exchange and digital asset platform founded in 2011, headquartered in San Francisco, USA. It is one of the largest and oldest crypto exchanges in the world, offering spot trading, futures, margin trading, and a range of digital asset services to retail and institutional clients. With a strong focus on security and regulatory compliance, Kraken operates across multiple jurisdictions and employs thousands of professionals globally.

In Spain, Kraken has a significant presence, with a growing team of engineers, product managers, designers, and data professionals. The company is known for its remote-first culture, which allows international talent to work from anywhere, including Spain. Kraken values autonomy, innovation, and a deep commitment to the crypto ecosystem, making it an attractive employer for professionals looking to work in a fast-paced, decentralized environment.

Founded
2018
Employees
1,000–5,000
Headquarters
San Francisco, USA
In Spain
Madrid, Barcelona
Website
kraken.com

Good to know if you are moving

  • Kraken is a remote-first company, allowing employees to work from anywhere, including Spain, which can facilitate relocation flexibility.
  • The company offers competitive compensation packages, often including cryptocurrency bonuses, which can be attractive to international hires.
  • Kraken has a strong focus on professional development and offers opportunities to work with cutting-edge technology in the crypto space.
  • The Spain team is part of a global network, providing exposure to international projects and collaboration with colleagues across time zones.
  • Kraken is known for its transparent and autonomous work culture, which may appeal to professionals seeking a non-traditional corporate environment.

In their own words

About the company & 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.

All open roles at Kraken
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