Engineering Team Lead — Kubernetes & AI Infra

Mistral; Warszawa; On-site; PLN 220,000 - 380,000; Full time

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.