Mistral AISoftware Engineer (Golang), Managed K8s
Mistral AI is hiring a Software Engineer (Golang), Managed K8s for a remote role open to applicants in France. Level rates it ; you can apply on Mistral AI.
Level's read on this job
- Level rates this software engineer role Builds AI ●●●●: the job is building AI systems.
- This is listed as a remote role.
- The posting mentions AI research among its tools and skills.
- Mistral AI has 216 other open roles on Level.
- Posted in the last few days.
AI in this role
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.
How we rate this
Software Engineer (Golang), Managed K8s at Mistral AI rates 83 out of 100 for how much of the daily work is AI. That makes it Builds AI (AI Level 4 of 4). The level is about AI in the job, not seniority.
Builds AI. The job is building AI systems.
- ●●●● Builds AI80 to 100
- ●●●○ Works on AI60 to 79
- ●●○○ Uses AI40 to 59
- ●○○○ Little AI0 to 39
Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.
Prepare for this job
Built from this posting and from similar jobs on Level.
Skills and AI tools this role asks for
Pay
- Typical software engineer job
- $168k
This posting doesn't list pay. Use the typical software engineer figure when pay comes up. See software engineer jobs
Questions you could be asked
- Tell me about a research question you investigated. What did you find?
- How would you decide a model or AI system is ready to ship?
- Tell me about a time a model underperformed in production. How did you find out, and what did you change?
Adapt your resume
- List these exact terms on your resume: AI Research. An applicant tracking system matches the wording, not the idea.
- Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
- Lead with what you built, trained or shipped. This role is judged on the AI system itself, not the tools around it.
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