Research Platform Engineer

Mistral.ai

Paris

Hybride

EUR 90 000 - 130 000

Plein temps

Il y a 5 jours
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Avantages offerts par ce poste

Healthcare coverage
Relocation support
Wellness programs

Résumé du poste

Mistral.ai is seeking a talented and experienced platform engineer to join our Research Platform team in Paris, Warsaw, or London, with hybrid work options and remote EU/UK possibilities requiring monthly hub visits.

You will build a cloud-agnostic platform to improve stability, scalability and velocity across the research department, creating tools to empower researchers on high-performance clusters.

Qualifications

  • 5+ years in a DX/DevOps/SRE role.
  • Proficiency in Python and Go; coding best practices.
  • Exposure to site reliability engineering and in-production troubleshooting.
  • Exposure to infrastructure management: CI/CD, containerization, orchestration, infra-as-code, monitoring.
  • Technical product mindset; understanding adoption and impact.
  • Strong problem-solving and communication, with ability to gain buy-in for high-stakes solutions.
  • Autonomy, initiative, and ability to thrive in a fast-paced startup.

Responsabilités

  • Scale the research CI with reliability, reproducibility and speed.
  • Create a flexible, solid development environment for researchers.
  • Design and implement data pipelines for large data volumes.
  • Optimize builds: container images, libraries, Python environments.
  • Build strong relationships with researchers and enable better workflows.
  • Produce documentation and content to help users maximize tool usage.
  • Platformize research and improve daily experience while avoiding roadblocks.

Connaissances

DevOps/SRE
Python
Go
CI/CD
Containerization
Orchestration
Infra-as-code
Observability
Problem solving
Autonomy
Communication

Outils

Bazel
Kubernetes
Docker

Description du poste

About Mistral

Mistral provides full-stack AI solutions: from frontier models to developer tools, applications, and compute. We partner with enterprises tackling the hardest problems—across high-stakes industries like finance, manufacturing, defense, healthcare, and the public sector—co-creating customized AI systems that they can run on their terms.

We are a dynamic, collaborative team passionate about AI and its potential to transform society. Our diverse workforce thrives in competitive environments and is committed to driving innovation. Our teams are distributed between Europe, North America, Asia and the Middle East. We are creative, low-ego and team-spirited.

Role Summary

We are seeking a talented and experienced platform engineer to join our Research Platform team. You'll work closely with our R&D team to build a cloud agnostic platform that improves the stability, scalability and velocity across the research department. You'll help create and optimize tools that empower researchers to make the most of high performance clusters.

Location: Paris / Warsaw / London (hybrid) or remote EU/UK with one hub visit per month.

What you will do
  • Designing and implementing complex systems (e.g. scale our research CI with a strong focus toward reliability, reproducibility and speed)
  • Building flexible yet solid and accessible development environment for researchers, so they can focus on core mission.
  • Designing, implementing and advocating for solutions addressing large amounts of data and maintainable data pipelines.
  • Optimizing a variety of builds: container images, large libraries compilation times, python environments...
  • Building strong relationships with researchers, understanding their workflow and enabling them to achieve more by leveraging your expertise.
  • Communicating and producing documentation or any content that will help them to make the most out of the tools and systems you'll build.
  • Being part of the team that "platformizes" research and constantly improve the daily experience for researchers while avoiding future roadblocks.
About you
  • 5+ years of successful experience in a similar DX / DevOps / SRE role.
  • Proficiency in software development (Python, Go...) and programming best practices.
  • Exposure to site reliability engineering: root cause analysis, in-production troubleshooting, on-call rotations...).
  • Exposure to infrastructure management: CI/CD, containerization, orchestration, infra-as-code, monitoring, logging, alerting, observability...).
  • Technical product mindset (e.g. understanding how to debug poor adoption).
  • Excellent problem-solving and communication skills (ability to contextualizing, gauging risks and getting buy-in for high stakes and impactful solutions).
  • Ownership, high agency and constantly seeking to learn and improving things for others.
  • Autonomous, self-driven and able to work well in a fast-paced startup environment.
  • Low ego and team spirit mindset.
Your application will be all the more interesting if you also have:
  • First hand Bazel (or equivalent) experience.
  • Strong knowledge of Python's ecosystem.
  • Familiarity with GPU based workloads and ecosystems.
  • Experience of full remote environments (you're comfortable with having some of your users on the other side of the globe).
Location and Remote

This role is primarily based at one of our European offices (Paris, Warsaw and London). We will prioritize candidates who either reside there or are open to relocating. We strongly believe in the value of in-person collaboration to foster strong relationships and seamless communication within our team. In certain specific situations, we will also consider remote candidates based in one of the countries listed in this job posting — currently France & UK. In that case, we ask all new hires to visit our local office:

  • for the first week of their onboarding (accommodation and travelling covered)
  • then at least 3 days per month
What We Offer

We offer a comprehensive benefits package designed to support your well-being, growth, and work-life balance. Benefits vary by country and may include healthcare coverage, parental leave, retirement plans, relocation support, wellness programs, meal and transportation allowances, and other location-specific perks.

For the most up-to-date details on benefits available in your location, please refer to our Benefits page.

Privacy Policy

Your privacy matters to us. You can learn more about how we handle your personal data in our Applicant Privacy Policy.

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