Europe Arbeitnow ·
full-timeSoftware Engineer (golang), Managed K8s
Mistral.ai · Paris
Mistral.ai is a European AI company that builds full‑stack solutions, including a sovereign AI cloud that runs frontier models on its own metal, network and datacenters. The Cloud Platform team is responsible for the compute stack – Kubernetes, bare‑metal provisioning, storage and networking – that powers AI workloads for finance, healthcare and public‑sector customers. As a Software Engineer focused on Go and managed Kubernetes, you will design and deliver the control plane for a metal‑to‑on‑demand platform, implement scheduling, operators and node lifecycle, and ensure reliability of GPU‑enabled clusters. Daily work includes writing production‑grade Go code, automating cluster provisioning, troubleshooting incidents at any hour, and collaborating with product managers to prioritize features. The role suits engineers who have shipped Go services, have hands‑on experience building or extending Kubernetes components, are comfortable with Linux and GPU workloads, and enjoy building infrastructure as code rather than merely operating it. A collaborative, low‑ego attitude and ability to work across product and business teams are essential.
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. THE ROLE 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. WHAT YOU WILL DO - 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. WHAT WE'RE LOOKING FOR - 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. What We Offer 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 . Privacy Policy Your privacy matters to us. You can learn more about how we handle your personal data in our Applicant Privacy Policy . Find more English Speaking Jobs in France on Arbeitnow
| Role | Software Engineer (golang), Managed K8s |
|---|---|
| Company | Mistral.ai |
| Location | Paris |
| Type | full-time |
| Compensation | Not disclosed |
| Deadline | Rolling |
Typical process for this type of role
A general guide — the exact steps for this specific listing may vary; check the original posting for details.
- 1ApplicationSubmit your resume through the apply link.
- 2ScreeningRecruiter reviews your background against the role.
- 3AssessmentA technical test, assignment, or coding round, depending on the role.
- 4Interview(s)One or more rounds with the hiring team.
- 5OfferOffer letter with compensation and start date.
Before you apply
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