Site Reliability Engineer, Fleet Health & Delivery
Mistral AI is hiring a Site Reliability Engineer, Fleet Health & Delivery for a remote role open to applicants in United States. Level rates it ; you can apply on Level.
Level's read on this job
- Level rates this role Builds AI ●●●●: the job is building AI systems.
- The posting lists this role as remote.
- Tools and skills the posting cites include Linux, Slurm and Kubernetes.
- Level files it as a mid-level role.
- Level lists 218 other open roles at Mistral AI.
AI in this role
Operate and scale infrastructure powering sovereign AI, ensuring reliability for large Linux and GPU workloads.
About Mistral
Mistral provides full-stack AI solutions: from frontier models to developer tools, applications, and compute. We partner with enterprises tackling the hardest problems across high-stakes industries like finance, manufacturing, defense, healthcare, and the public sector, co-creating customized AI systems that they can run on their terms.
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 Europe, North America, Asia and the Middle East. We are creative, low-ego and team-spirited.
The Role
At Mistral, you’ll build and support the infrastructure behind sovereign AI. As a Site Reliability Engineer in the Fleet team, you’ll work at the intersection of frontier models, products, and compute, ensuring our large-scale Linux environments, cloud systems, and AI workloads run reliably. This role is about more than just systems, it’s about enabling customers to leverage Mistral’s sovereign AI solutions with confidence, while helping us evolve toward modern, cloud-native technologies.
What You Will Do
Own and operate the infrastructure powering Mistral’s sovereign AI, including Linux environments, cloud systems, and AI workloads.
Troubleshoot and resolve incidents to ensure high availability, performance, and security for our models, products, and compute platforms.
Collaborate with research, product, and infrastructure teams to align systems with AI and customer needs.
Provide technical support to customers and internal teams, diagnosing issues, guiding solutions, and ensuring smooth operations.
Explore and contribute to modern cloud-native technologies, including Kubernetes and GPU orchestration, as we evolve our sovereign AI platform.
What We're Looking For
Strong Linux system administration experience at scale.
Proficiency in Slurm and/or Kubernetes to manage workloads effectively.
Familiarity with distributed storage, high performance networking, cloud security, or GPU/AI/ML workloads is a plus.
Customer-focused mindset: Ability to diagnose, explain, and resolve technical issues for users leveraging Mistral’s AI solutions.
Pragmatic, collaborative, and hands-on - you thrive at the intersection of AI, infrastructure, and customer success, and are eager to drive modernisation in a fast-evolving landscape.
What We Offer
We offer a comprehensive benefits package designed to support your well-being, growth, and work-life balance. Benefits vary by country and may include healthcare coverage, parental leave, retirement plans, relocation support, wellness programs, meal and transportation allowances, and other location-specific perks.
For the most up-to-date details on benefits available in your location, please refer to our Benefits page.
Privacy Policy
Your privacy matters to us. You can learn more about how we handle your personal data in our Applicant Privacy Policy.
How we rate this
Site Reliability Engineer, Fleet Health & Delivery at Mistral AI rates 85 out of 100 for how much of the daily work is AI. That makes it Builds AI (AI Level 4 of 4). The level is about AI in the job, not seniority.
Builds AI. The job is building AI systems.
- ●●●● Builds AI80 to 100
- ●●●○ Works on AI60 to 79
- ●●○○ Uses AI40 to 59
- ●○○○ Little AI0 to 39
Levels come from how often the tools, models and workflows of the role are named in the posting itself. Open the description and count.
Prepare for this job
Built from this posting and from similar jobs on Level.
Skills and AI tools this role asks for
Questions you could be asked
- Tell me about a project where site reliability engineering was part of your work. What did you do?
- Tell me about a project where system administration was part of your work. What did you do?
- Tell me about a project where gpu orchestration was part of your work. What did you do?
- Tell me about a project where cloud native was part of your work. What did you do?
- Walk me through how you've used Linux in your day-to-day work.
Adapt your resume
- List these exact terms on your resume: Site Reliability Engineering, System Administration, GPU Orchestration, Cloud Native, and Linux. An applicant tracking system matches the wording, not the idea.
- Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
- Lead with what you built, trained or shipped. This role is judged on the AI system itself, not the tools around it.
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