Engineering Team Lead — Kubernetes & AI Infra

Mistral

Warszawa

On-site

PLN 220,000 - 380,000

Full time

2 days ago
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Benefits offered by this job

Healthcare coverage
Parental leave
Relocation support
Wellness programs
Meal and transportation allowances

Job summary

Mistral is seeking a senior engineering leader to own the Kubernetes product end to end, from architecture decisions to delivering on-demand compute. You will lead from day one, balancing hands-on coding with people management, and work across Europe, North America, and beyond to scale the sovereign AI cloud.

You will shape the control plane, GPU scheduling, and the infrastructure stack while mentoring engineers and collaborating with product teams.

Qualifications

  • 2+ years of real people leadership.
  • Shipped production systems in Go.
  • Experience running Kubernetes, ideally building parts of it.
  • Knowledge of GPU workloads on Kubernetes or willingness to own that domain.
  • Developer-minded, writing code others depend on.
  • Extensive experience building backend or infrastructure systems.
  • Partnered with product, design, and business teams to ship software.
  • Low-ego, team-first mindset.

Responsibilities

  • Design and ship the Kubernetes control plane and related architecture decisions.
  • Grow the engineers, remove obstacles, coach them to perform beyond their comfort zone.
  • Own reliability of the Kubernetes control plane and set it as a KPI.
  • Shrink the distance from metal to on-demand through automation and efficient provisioning.
  • Collaborate with Product Managers to set priorities and tradeoffs.
  • Own people management for the team: hiring, performance, growth paths, feedback.
  • Define team processes and execution rituals as the team grows.

Skills

People leadership
Go programming
Kubernetes expertise
Backend/infrastructure development
Cross-functional collaboration

Tools

Go
Kubernetes
Linux

Job description

Mistral is seeking a senior engineering leader to own the Kubernetes product end to end, from architecture decisions to delivering on-demand compute. You will lead from day one, balancing hands-on coding with people management, and work across Europe, North America, and beyond to scale the sovereign AI cloud.

You will shape the control plane, GPU scheduling, and the infrastructure stack while mentoring engineers and collaborating with product teams.

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