Senior DevOps Engineer (Full Remote from France)

Were hiring our first dedicated Devops / MLOps Engineer

Our ML team runs 100 active AI projects on GCP and needs the industrialized infrastructure to match. ML team is moving fast and they need a dedicated expert to connect the dots align on the right practices and help both sides deliver at their best. Youll be that person. Youll work at the heart of an AI-first environment where shipping models fast and reliably is the core business not a side project.

Your Mission

• Empower ML Engineers with the tools infrastructure and frameworks they need to iterate fast autonomously.
• Accelerate time-to-market for production-ready ML products: seamless integration proper service connections access to data and resources.
• Own ML CI/CD in close collaboration with the ML team adapting existing frameworks to ML-specific needs not just consuming them.
• Keep ML Engineers in control of their models in production: monitor troubleshoot iterate refine directly in prod no staging/prod mirror.
• Enable large-scale ML experimentation: robust reproducible scalable environments for both internal tests and A/B testing in production.
• Deliver concrete MLOps building blocks (MLflow Kubeflow KubeRay...) and manage GPU infrastructure dynamically youve seen L40 shortages mid-training you know how to handle them.
• Tackle technical debt on existing projects while laying the right foundations for whats next.
• Be the technical mediator between ML and Backbone teams understand both sides propose solutions that stick.
• Handle run responsibilities: on-call post-mortems level-1 failure analysis.

Qualifications :

What Were 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: youve 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.

Additional Information :

Dont check every box Apply anyway.

Were looking for the right person not the perfect resume. If this role excites you lets talk.

Dailymotion is an equal opportunity employer. All positions are open to people with disabilities. Need accommodations Just let us know.

Interview Process

• HR Interview with Marvin (30mn)
• Manager interview with  Cédric & Thierry (1h)
• Technical Interview with 2 Architects (1h) : no coding test just a real technical conversation.
• ML Interview with Brice & Samuel (1h)
• Final Interview with Alan VP Platform (1h)

Welcome at Dailymotion

Remote Work :

No

Employment Type :

Full-time