Engineering Team Lead, Kubernetes & AI Platform

Mistral

France

Hybride

EUR 90 000 - 150 000

Plein temps

Il y a 5 jours
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Avantages offerts par ce poste

Healthcare coverage
Retirement plans
Relocation support
Wellness programs
Meal and transportation allowances

Résumé du poste

Mistral is building a sovereign AI cloud for Europe. This role leads a team from day one, balancing architectural work with people management, and owning the Kubernetes product end to end.

You will shape the control plane, GPU scheduling, and the rack-to-cluster lifecycle with in-house infrastructure. You will mentor engineers, drive ownership, and work cross-functionally with product and design to ship scalable backend systems used by customers.

Qualifications

  • 2+ years of real people leadership experience.
  • Production-grade Go experience is required (Go language).
  • Hands-on Kubernetes experience; understanding core components and scheduling.
  • Experience running GPU workloads on Kubernetes.
  • Strong backend/infrastructure engineering background.
  • Collaborates with product, design and business teams to ship user-facing software.

Responsabilités

  • Design and ship the Kubernetes control plane and related architecture.
  • Grow and mentor engineers, drive ownership and high-quality deliverables.
  • Ensure reliability of the Kubernetes control plane and incident response.
  • Automate provisioning to reduce time-to-cluster deployment.
  • Partner with Product Managers to set priorities and trade-offs.
  • Lead people management: hiring, performance, growth, feedback.
  • Define processes and rituals as the team scales.

Connaissances

People leadership
Go production
Kubernetes
GPU workloads
Backend systems
Cross-functional collaboration

Outils

Kubernetes tooling

Description du poste

Mistral is building a sovereign AI cloud for Europe. This role leads a team from day one, balancing architectural work with people management, and owning the Kubernetes product end to end.

You will shape the control plane, GPU scheduling, and the rack-to-cluster lifecycle with in-house infrastructure. You will mentor engineers, drive ownership, and work cross-functionally with product and design to ship scalable backend systems used by customers.

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