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Mistral AI

Open-weight LLMs and enterprise AI deployment

Engineering Team Lead - Devex

Engineering LeadershipConfirmed live in the last 24 hours
Full-timeÎle-de-France, FranceNo salary listedIn-person

About the Job

Requirements

  • 5+ years of relevant professional work experience in Developer Experience, DevOps, or related fields.
  • Master’s degree in Computer Science, Information Technology, or a related field.
  • Proficiency in scripting and programming languages including Python, JavaScript/TypeScript, and Go, along with experience with infrastructure as code tools.
  • Experience with building and leading high-performing teams in developer tooling or infrastructure.
  • Experience working with cross-functional teams including product, design, and business.
  • Experience with project management and planning for infrastructure and tooling initiatives.
  • Ownership and capacity to ship developer tooling and platforms end-to-end.
  • Strong experience with CI/CD pipelines including GitHub Actions, GitLab CI, and Jenkins; cloud infrastructure including AWS, GCP, and Azure; build systems; container registries; and developer tooling.

Responsibilities

  • Act as the clear point of contact for the team and its projects, remove obstacles, unblock execution, and create an environment where engineers can focus on building developer tools and platforms.
  • Own delivery of the team’s developer-experience roadmap, including enhancing CI/CD and build systems, optimizing cloud registries such as Docker, Azure, and GCP, implementing static and dynamic code analysis tools, and automating vulnerability analysis.
  • Partner with engineering teams to define the developer-experience roadmap and priorities, scope initiatives, estimate engineering effort, and drive prioritization decisions based on developer productivity impact and technical necessity.
  • Stay involved in architecture design, system design, coding, peer reviews, and technical decision-making for developer tooling.
  • Define and evolve team processes, best practices, and execution rituals for developer workflows as the team and product scale.
  • Increase the team’s bus factor through knowledge sharing, documentation, and rotation of responsibilities, while championing continuous improvement in developer productivity.

About the Company

Mistral AI

Open-weight LLMs and enterprise AI deployment

Mistral AI builds open-weight large language models and the tools to run them, along with inference infrastructure and enterprise products that let organizations deploy AI with control over data residency, customization, and the underlying stack. Its platform provides open-model architectures and a deployment stack for inference, governance, and integration that can run on‑premises or in the cloud. This openness and modular stack differentiate it from single-vendor hyperscalers by prioritizing data locality and flexibility. The company aims to enable reliable, customizable AI deployment at scale for businesses and public-sector customers across many countries.

Company size
1,001-5,000
Company stage
Series D
Total funding
$7.2B
Headquarters
Paris, France
Founded
2023

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