Mistral AI

Software Engineer, Compute Infrastructure

Mistral AI WorkFromHome

Stellenbeschreibung:

Software Engineer, Compute Infrastructure

Join to apply for the Software Engineer, Compute Infrastructure role at Mistral AI

About Mistral: At Mistral AI, we believe in the power of AI to simplify tasks, save time, and enhance learning and creativity. Our technology is designed to integrate seamlessly into daily work life, democratizing AI through high-performance, optimized, open‑source models and solutions. We offer a collaborative environment distributed across France, the USA, the UK, Germany, and Singapore.

Role Summary

We are building one of Europe’s largest AI infrastructure offerings, providing a private and integrated stack from bare‑metal servers to fully‑managed PaaS. As a Software Engineer, you will help build, scale, and automate our computing management stack, ensuring fault‑tolerant and reliable infrastructure that supports internal processes and the customer platform. You will report to the VP of Mistral Compute.

Key Responsibilities

  • Design, build, and operate a scalable Kubernetes‑based platform for large‑scale AI and HPC workloads, ensuring high performance, reliability, and security.
  • Own the full lifecycle of cluster management, from bootstrapping and provisioning to global operations, by integrating and developing automation, monitoring, and orchestration tools.
  • Drive infrastructure innovation through workflows, tooling (scripts, APIs, dashboards), and CI/CD pipelines to optimize system reliability, availability, and observability.
  • Champion a zero‑trust security model, strengthening IAM, networking (VPC), and access controls to safeguard the platform.
  • Develop user‑centric features that simplify operations for sysadmins and end customers, reducing friction in daily workflows.
  • Lead incident resolution with rigorous root‑cause analysis to prevent recurrence and improve system resilience.

About You

  • Strong proficiency in software development (preferably Golang) and knowledge of best practices.
  • Successful experience in an Infrastructure Engineering role (SWE, DevOps, SRE, Platform).
  • Deep understanding of Kubernetes internals and hands‑on experience with containerization and orchestration tools (Docker, Kubernetes, OpenStack).
  • Familiarity with infrastructure‑as‑code tools like Terraform or CloudFormation.
  • Knowledge of monitoring, logging, alerting, and observability tools (Prometheus, Grafana, ELK, Datadog).
  • Exposure to highly available distributed systems and site reliability issues in critical environments.
  • Experience working against reliability KPIs (observability, alerting, SLAs).
  • Excellent problem‑solving and communication skills.
  • Self‑motivation and ability to thrive in a fast‑paced startup environment.

Preferred Experience

  • Experience with HPC workload managers (Slurm) and distributed storage systems (Lustre, Ceph).
  • Demonstrated history of contributing to open‑source projects (code, documentation, bug fixes, feature development, or community support).

Location & Remote

This role is primarily based in our European offices, in Paris, France, or London, UK. Candidates residing in these locations or willing to relocate are preferred. We also consider remote candidates from France, the UK, Germany, Belgium, the Netherlands, Spain, and Italy. All new hires must attend the Paris HQ office: first two weeks onsite, then at least three days per month.

What We Offer

  • Competitive salary and equity.
  • Health insurance.
  • Transportation allowance.
  • Sport allowance.
  • Meal vouchers.
  • Private pension plan.
  • Generous parental leave policy.
  • Visa sponsorship.

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. For more information about how your data is processed, please contact us.

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Stelleninformationen

  • Typ:

    Vollzeit
  • Arbeitsmodell:

    Vor Ort
  • Kategorie:

  • Erfahrung:

    2+ years
  • Arbeitsverhältnis:

    Angestellt
  • Veröffentlichungsdatum:

    04 Nov 2025
  • Standort:

    WorkFromHome

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