Mistral AI
Site Reliability Engineer
New York · Full-time · Posted Oct 26, 2026
- Experience
- 7+ years in a DevOps/SRE role.
- Education
- Master’s degree in Computer Science, Engineering or a related field.
About the job
Build and operate reliable, scalable infrastructure and platform services for Mistral’s customer-facing applications, AI inference, and model-training workloads.
What you'll do
- Operate production systems, troubleshoot incidents, participate in on-call rotations, and conduct root cause analysis.
- Improve infrastructure automation, deployment, orchestration, monitoring, and incident response.
- Collaborate with AI/ML researchers and software engineers to enable reproducible training and reliable platform services.
What they ask for
- Master’s degree in Computer Science, Engineering, or a related field.
- Strong experience with cloud computing and highly available distributed systems.
- Experience with production reliability, incident response, and reliability KPIs.
- Hands-on experience with CI/CD, containers, orchestration, monitoring, infrastructure as code, scripting, networking, and security.
Nice to have
- Experience in an AI/ML environment and with HPC systems or workload managers such as Slurm.
- Experience with AI-oriented solutions such as Fluidstack, Coreweave, or Vast.
Tools
Kubernetes, Flux, Terraform, Docker, Prometheus, Grafana, ELK Stack, Datadog
AI focus
Support AI inference and model-training workloads; collaborate with AI/ML researchers on safe, reproducible training experiments.
Model-written summary · the original posting is authoritative