Engineering Team Lead, Fleet Delivery

Mistral

11d•Hybrid

About The Position

Mistral is building a sovereign AI cloud for Europe. Our customers in finance, healthcare, and the public sector run frontier models on European-jurisdiction infrastructure, and the Cloud Platform team builds the systems that make that possible — compute orchestration, Kubernetes, bare metal, storage, networking, and the datacenter fleet that runs it all. European Compute Units let enterprises commit to multi-year capacity on that infrastructure, and we are scaling toward a gigawatt of compute across Europe by 2030. You will design and ship the layer every sovereign AI deployment depends on and shape the team building it.

Requirements

Automated bare-metal fleets — you have written the software that turns racks into clusters. If you have done it by hand, you resented it and scripted it.
Hardware fluency: servers, GPUs, NICs, switches, firmware — you can read a parts list and a topology diagram.
8+ years building backend or infrastructure systems, with at least 2 years leading engineers — real people leadership: you have hired, coached, and grown engineers, not just set technical direction.
Deep Linux: you are comfortable well below the application layer.
You have shipped production systems in Go. Not dabbled. Shipped.
Willing to travel to datacenter sites when the work demands it.
A low-ego, team-first mindset. We care less about your exact domain and more about whether you are the kind of technical force other engineers want to work alongside.

Responsibilities

Build the delivery pipeline in Go: provisioning, configuration, validation, burn-in, network bring-up, software stack install.
Build the team from scratch: make the first hires, onboard and coach them, own their performance and growth paths — and set the tooling standards and the playbook every future site reuses.
Own time-to-acceptance and drive it down relentlessly — measure it, break it down, kill the slowest step first.
Work shoulder-to-shoulder with Hardware Design and Fleet Health — reliability starts at delivery.
Handle GPU fleets at scale: H100 and GB200-class nodes, InfiniBand and RoCE fabrics, and the failure modes they bring.
Partner with Product Managers and the datacenter org to plan delivery waves against capacity commitments.