DevOps Engineer
On-site
Full Time
#Engineering
#AI
#Cloud Computing
#Golang
#GitOps
#Kubernetes
#AWS
#Azure
#GCP
#Serverless
#Terraform
Are you ready to shape the future of AI infrastructure at one of Europe’s leading cloud providers? At Scaleway, our AI Tribe is pioneering the deployment of advanced AI technologies, and our Inference Squad delivers LLM-as-a-Service that powers both dedicated and shared GPU resources for a wide range of client applications.
What you bring
We are looking for a Senior DevOps Engineer to join our Full Time team on an on-site basis in France. In this role you will help build and run the backend of our AI product portfolio, contribute to architecture decisions, and design CI/CD pipelines that keep our large-language-model services fast, secure, and scalable. Three key responsibilities include developing and operating the backend services that power our AI offerings, designing and implementing robust CI/CD pipelines tailored for AI workloads, and monitoring performance to guarantee the low-latency and high-throughput our customers expect. The position is based in our Paris or Lille offices.
Requirements
You bring strong coding skills in Golang, a solid grasp of GitOps practices, and hands-on experience running production workloads on Kubernetes. You are comfortable working across major cloud platforms such as AWS, Azure, and GCP, and you know how to keep serverless architectures reliable and observable. Clear communication in English is essential; a good command of French is a plus. Beyond technical expertise, you value clean, secure code and enjoy collaborating across teams to turn ambitious ideas into dependable systems. An ideal candidate also has exposure to AI model-serving frameworks, infrastructure-as-code tools like Terraform, and GPU-based computing environments.
What we offer
Joining Scaleway means working at the forefront of AI infrastructure in a collaborative, fast-moving environment where your contributions directly impact how organizations around the world access powerful language models.
- Opportunity to work with cutting-edge GPU clusters and large-scale AI deployments
- Continuous learning through internal tech talks, open-source contributions, and conference support
- Modern offices in Paris and Lille with a flexible, engineering-driven culture
How to Apply
If this sounds like the next step in your career, we would love to hear from you. Please send your application through our careers portal; after a brief screening call, selected candidates will move through a manager interview, a take-home assignment, team discussions, and a final HR conversation before receiving an offer.


