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Mistral AI

Open-weight LLMs and enterprise AI deployment

Software Engineer - Golang, Storage

Backend EngineeringConfirmed live in the last 24 hours
Full-timeÎle-de-France, FranceNo salary listedRemote

About the Job

Requirements

  • Experience building storage systems, including object, block, or distributed filesystems, rather than only operating them.
  • Deep understanding of distributed-systems fundamentals, including durability, consistency, replication, erasure coding, and failure domains.
  • Experience shipping production systems in Go, or systems engineering experience in C++ or Rust with readiness to write Go daily.
  • Comfort working with HDD, SSD, and NVMe tiers and understanding their economics.
  • At least 5 years of experience building backend or infrastructure systems.
  • Experience partnering with product, design, and business teams to ship software used by real users.

Responsibilities

  • Build the block, file, and object storage stack for training, sandbox, and general compute workloads.
  • Design and write services in Go, including S3-compatible APIs, tiering, backup and recovery, and caching layers.
  • Own the data plane, including allocation, duplication, tiering, backup, and recovery.
  • Plan capacity across datacenters and failure domains at petabyte scale.
  • Partner with Product Managers to shape the storage roadmap and make technical and business tradeoffs.

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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