Kubernetes Engineering Lead, On-Prem AI Cloud

Mistral AI

United States

Teletrabalho

USD 180 000 - 240 000

Tempo integral

14 dias+

Uma candidatura completa num minuto

Currículo e carta de apresentação personalizados, prontos a enviar.

Ultrapassa os filtros ATS

Vantagens oferecidas por esta oferta de emprego

Healthcare coverage
Parental leave
Relocation support
Retirement plans
Wellness programs

Resumo da oferta

Mistral AI is seeking a senior engineering leader to manage the Kubernetes product team, balancing architecture decisions with hands-on technical work and people leadership. You will own the control plane end to end—scheduling GPUs, provisioning clusters, and scaling from current footprint toward a gigawatt of compute—while mentoring engineers and shaping the roadmap.

This role emphasizes collaboration with product, design, and the business teams to ship reliable infrastructure used by customers

Qualificações

  • Experience leading engineers and growing a team.
  • Shipped production systems in Go.
  • Experience running Kubernetes in production, including GPUs.
  • Strong collaboration with product, design, and business teams.
  • Hands-on with critical architecture decisions.

Responsabilidades

  • Design and ship the Kubernetes control plane and its scheduling/ provisioning systems.
  • Grow the engineers and coach them to own their work.
  • Own reliability of the Kubernetes control plane and respond to incidents.
  • Shrink the gap from metal to on-demand clusters.
  • Partner with Product Managers to set priorities and tradeoffs.
  • Lead people management for the team.
  • Define processes and rituals as the team grows.

Conhecimentos

People leadership
Go programming
Kubernetes
GPU workloads
Linux
Backend/infrastructure
Cross-functional collaboration

Ferramentas

Go
Kubernetes
Linux

Descrição da oferta de emprego

Mistral AI is seeking a senior engineering leader to manage the Kubernetes product team, balancing architecture decisions with hands-on technical work and people leadership. You will own the control plane end to end—scheduling GPUs, provisioning clusters, and scaling from current footprint toward a gigawatt of compute—while mentoring engineers and shaping the roadmap.

This role emphasizes collaboration with product, design, and the business teams to ship reliable infrastructure used by customers

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