Engineering Team Lead, Managed K8s

Mistral.ai·Parislead

In short

→Liderazgo técnico de un equipo que construye y opera Kubernetes personalizado en infraestructura de metal propio para IA soberana en Europa.
→Mitad arquitectura y decisiones técnicas clave (escalado, planificación de GPU, provisioning), mitad gestión de personas y crecimiento del equipo.
→El control plane de Kubernetes es un producto crítico que escala desde racks de metal hasta clusters on-demand en minutos.

Fluent in English (required for collaboration across global teams)

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What they ask for

✓2+ años de experiencia real liderando equipos de ingenieros.
✓Experiencia comprobada en producción con Go (no solo pruebas o prototipos).
✓Experiencia probada usando Kubernetes en entornos de alta carga (en producción real).
✓Habilidades sólidas en gestión de equipos: contratación, retroalimentación honesta, desarrollo profesional.
✓Habilidad para tomar decisiones técnicas estratégicas en arquitectura de sistemas distribuidos.
✓Capacidad de liderar desde el código, combinando entrega técnica con mentoría continua.

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GoKubernetesBare metalGPU schedulingControl planeOrchestrationNode lifecycleProvisioning automationNetworkingStorage

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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 and shape the team building it. The Role This is a people-leadership role from day one. You will manage the team — hiring, coaching, performance, growth paths, honest feedback — while staying close to the code: roughly half your time in architecture decisions and the hardest technical problems the team faces, the other half leading your squad. If you are looking for a senior IC role, this is not it. You will own 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. This is a role for an engineer who leads from the front because that is where the work is, not because management was the next rung on the ladder. What You Will Do Design and ship the control plane. You build alongside your team and own the architecture and the hardest implementation decisions — scheduling, operators, provisioning, node lifecycle. Grow the engineers, not just the software. You set the standard for ownership, remove the obstacles in their way, and coach them past their comfort zone until the work they ship surprises them. Own the reliability of the Kubernetes control plane. It is the team's headline KPI. You make the calls when it breaks at 3am, and your engineers learn from how you do it. 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. Own people management for the team: hiring, performance, growth paths, and honest feedback — the leadership work that never becomes someone else's job. Define the team's processes and execution rituals as it grows. What We're Looking For 2+ years of real people leadership. You have managed engineers — hired, coached, given honest feedback, and grown them. Hands-on contribution matters here, but this role is judged on the team you build and lead, not just the code you write. You have shipped production systems in Go. Not dabbled. Shipped.

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