Senior DevOps Engineer (Full Remote from France)

What We're Looking For

• Solid MLOps or DevOps, background projects shipped in prod matter more than years on a resume.
• GCP expert: Vertex AI, GKE, GCS, BigQuery.
• Full GitOps: FluxCD first, ArgoCD accepted.
• Kubernetes in prod, not just in a lab.
• Hands-on with real MLOps tools: MLflow, Kubeflow, KubeRay.
• GPU-aware: you've managed GPU scarcity at scale during mass training runs.
• Python is a must, Bash expected, Go or Rust a plus.
• IaC (Terraform), containerization (Docker, Helm), observability (Prometheus, Datadog, Looker).
• AI Coding Assistants (Claude, Cursor, Dust)
• Data lifecycle management (cost, security, encryption)
• Fluent in French and English.

Nice to Have

• Jupyter Notebooks, broader ML/AI ecosystem
• Data pipelines (Airflow, Dataflow, Kestra)
• Redis clusters and infrastructure performance optimization

What Will Make the Difference

Beyond the tech stack, what will set you apart is your ability to act as a bridge rather than a silo. You thrive in ambiguity, stay calm under pressure, and turn complexity into clear solutions. You have a run culture, post-mortems and on-call sharpen you rather than drain you. And you lead by example: you advocate for best practices by winning people over, not by imposing them.