Mistral AI
Technical Support Engineer (L2) - Compute
Paris +1 · Full-time · Posted Sep 18, 2026
- Location
- Paris
San Francisco - Experience
- 5+ years in system administration, technical support, or infrastructure operations, focused on compute-heavy environments.
About the job
Provides customer-facing L1/L2 support and technical troubleshooting for GPU compute infrastructure and Kubernetes clusters, helping keep AI workloads reliable and performant.
What you'll do
- Triage customer and internal requests, diagnose issues using logs and metrics, and provide guidance or workarounds while meeting SLAs.
- Troubleshoot Linux, Kubernetes, container, GPU, and compute infrastructure issues; participate in on-call rotations.
- Maintain runbooks and documentation, contribute to post-mortems, and help develop the new Compute Support team’s processes.
What they ask for
- Hands-on Kubernetes troubleshooting experience is mandatory, including pods, nodes, networking, storage, and resource management.
- Deep Linux/Unix expertise, including kernel debugging, performance tuning, networking, and storage.
- Familiarity with Docker or containerd, basic IaC awareness, and monitoring tools such as Prometheus, Grafana, ELK, or OpenTelemetry.
- Basic scripting or automation skills; Go, Bash, or Python are acceptable. Strong communication and customer-support skills are also requested.
Nice to have
- Experience with bare metal, virtualization, or HPC environments.
- Optimizing system configurations for HPC and AI workloads.
Tools
Linux/Unix, Kubernetes, Docker, containerd, Prometheus, Grafana, Go, Terraform
AI focus
Supports GPU/TPU compute infrastructure and helps ensure AI workloads run reliably and at scale.
Model-written summary · the original posting is authoritative