Software/DevOps Engineer, Compute - Mistral

Job Title: Software/DevOps Engineer, Compute
Job Location: Paris
Job Listing URL: https://jobs.lever.co/mistral/d60f6c60-ad5e-4753-af8a-56365b7db8b8
Job Description: 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 working life.

We democratize AI through high-performance, optimized, open-source and cutting-edge models, products and solutions. Our comprehensive AI platform is designed to meet enterprise needs, whether on-premises or in cloud environments. Our offerings include le Chat, the AI assistant for life and work.

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 France, USA, UK, Germany and Singapore. We are creative, low-ego and team-spirited.

Join us to be part of a pioneering company shaping the future of AI. Together, we can make a meaningful impact. See more about our culture on https://mistral.ai/careers.

Role Summary

We are building one of Europe’s largest AI infrastructure offering that will provide our customers a private and integrated stack in every form factor they may need — from bare-metal servers to fully-managed PaaS. As a Software/DevOps Engineer, you will join a fast growing team to help building, scaling and automating our computing management stack. You will be responsible for building fault-tolerant and reliable infrastructure to support both our internal processes and customer platform.

Location: France 🇫🇷 and UK 🇬🇧 as primary location, or remote under conditions (see below)
Reporting line: Software Architect, Compute

What you will do

As a Software/DevOps Engineer in our Compute team, your primary responsibility will be to engineer robust and dependable infrastructure that supports both our internal operations and customer-facing platforms.

Key Responsibilities:

• Design, build, and operate a scalable Kubernetes-based platform to host 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 the necessary software components—including automation, monitoring, and orchestration tools.
• Drive infrastructure innovation by designing 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 both 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

• Successful experience in an Infrastructure Engineering role (SWE, DevOps, SRE, Platform...)
• Strong proficiency in software development (preferably Golang) and knowledge of software development best practices
• 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 (issue root cause analysis, in-production troubleshooting, on-call rotations...)
• 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

Now, it would be ideal if you also had:
• Experience with HPC workload managers (Slurm) and distributed storage systems (Lustre, Ceph)
• Demonstrated history of contributing to open-source projects (e.g., code, documentation, bug fixes, feature development, or community support).