Software Engineer (Golang), Managed K8s

Description

About Mistral

Mistral provides full-stack AI solutions: from frontier models to developer tools, applications, and compute. We partner with enterprises tackling the hardest problems across high-stakes industries like finance, manufacturing, defense, healthcare, and the public sector, co-creating customized AI systems that they can run on their terms.

We are a dynamic, collaborative team passionate about AI and its potential to transform society. Our diverse workforce thrives in competitive environments and is committed to driving innovation. Our teams are distributed between Europe, North America, Asia and the Middle East. We are creative, low-ego and team-spirited.

THE TEAM

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.

We run it all on our own metal, our own network, our own datacenters — which means when something breaks, the fix is ours to write.

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.

Responsibilities

• You will build our Kubernetes product end to end: a metal-to-on-demand platform built on in-house infrastructure, with GPU support for training, inference, and general-purpose compute.
• Kubernetes is our product, not just our platform — we run it on infrastructure we own end to end. You will decide how the control plane scales, how GPUs get scheduled, and how quickly a rack of bare metal becomes an on-demand cluster a customer can use. The decisions you make here shape how our infrastructure scales from today's footprint to a gigawatt, and how we turn frontier AI research into production systems used by millions.
• Design and ship the control plane. You own the architecture and the hardest implementation decisions — scheduling, operators, provisioning, node lifecycle.
• Own the reliability of the Kubernetes control plane. It is the team's headline KPI. You make the calls when it breaks at 3am.
• Shrink the distance from metal to on-demand. Provisioning a cluster should be minutes of automation, not weeks of tickets.
• Partner with Product Managers to set priorities, scope initiatives, and make the technical and business tradeoffs.
• Raise the engineering bar through code review and knowledge sharing across the Cloud Platform org.

Requirements

• You have shipped production systems in Go. Not dabbled. Shipped.
• You have run Kubernetes in anger — and ideally built parts of it: operators, schedulers, controllers. You understand what happens underneath it, and you have worked on Linux directly, not just on managed services that sit on top of it.
• You have run GPU workloads on Kubernetes, or you are confident you can own that domain fast.
• You think like a developer who happens to build infrastructure, not an operator who manages it. You write code other engineers depend on.
• Extensive experience building backend or infrastructure systems.
• You have partnered with product, design, and business teams to ship software that reached real users.
• 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.

Benefits

• We offer a comprehensive benefits package designed to support your well-being, growth, and work-life balance. Benefits vary by country and may include healthcare coverage, parental leave, retirement plans, relocation support, wellness programs, meal and transportation allowances, and other location-specific perks.
• For the most up-to-date details on benefits available in your location, please refer to our Benefits page .