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Mistral AI

Open-weight LLMs and enterprise AI deployment

Software Engineer - Developer Experience

Platform Engineering +1Confirmed live in the last 24 hours
Full-timeÎle-de-France, FranceNo salary listedIn-person

About the Job

Requirements

  • At least 5 years of successful experience in a similar role, such as DevOps, Developer Experience, Platform Engineer, Internal Tooling Engineer, or Site Reliability Engineer.
  • Strong proficiency in scripting languages such as Go and Python, and software development best practices.
  • Experience optimizing developer workflows, tooling and automation for productivity, and real-time developer support and escalation paths.
  • Experience with Site Reliability Engineering practices, including continuous integration and continuous delivery, containerization, orchestration, infrastructure as code, monitoring, logging, alerting, and observability.
  • Exposure to multi-cloud infrastructure such as AWS, Google Cloud Platform, Azure, or on-premises environments.
  • Exposure to security tools and approaches including OWASP, static application security testing, dynamic application security testing, software composition analysis, and vulnerability scanners.
  • Problem-solving and communication skills, including the ability to contextualize issues, gauge risks, and gain buy-in for high-stakes, impactful solutions.
  • Ownership, high agency, and desire to improve things for others.
  • Autonomy, self-direction, and ability to work well in a fast-paced startup environment.

Responsibilities

  • Build, monitor, and enhance continuous integration and continuous delivery pipelines to streamline development workflows and accelerate deployments.
  • Design, operate, and maintain scalable, reliable, and secure multi-cloud infrastructures.
  • Identify areas for improvement and create solutions that enable high developer velocity.
  • Standardize DevOps practices to ensure consistency across engineering teams.
  • Establish measurable key performance indicators for security performance, reliability, and compliance adherence.
  • Partner with development and operations teams to embed security into daily workflows.
  • Lead training initiatives to upskill teams on secure coding, threat modeling, and incident response.
  • Champion a security-first mindset and drive adoption of DevSecOps principles across the organization.
  • Improve continuous integration and continuous delivery and build systems.
  • Optimize cloud registries, including Docker, Azure, and Google Cloud Platform.
  • Implement static and dynamic code analysis tools.
  • Implement automated vulnerability analysis.

Desired Qualifications

  • Exposure to multi-cloud infrastructure such as AWS, Google Cloud Platform, Azure, or on-premises environments.
  • Exposure to security tools and approaches including OWASP, static application security testing, dynamic application security testing, software composition analysis, and vulnerability scanners.

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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