Dailymotion

Senior DevOps Engineer (Full Remote from France)

Vaga remota de DevOps Engineering com fit claro de localização do candidato.

Publicada16 de jun. de 2026

Países elegíveis1 país aceito

Sinal de senioridadeSenior

Modelo de trabalhoRemoto

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França

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Atualidade da fonte16 de jun. de 2026

Fit de localização1 país aceito

Match de stackAWS, CI/CD

Caminho de aplicaçãoSite da empresa

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Aplicando paraSenior DevOps Engineer (Full Remote from France)Dailymotion

Fit de país1 país aceito

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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, you've seen L40 shortages mid-training, you know how to handle them.
Tackle technical debt on existing projects while laying the right foundations for what's 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.

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.

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)

Opening perspectives - We are building bridges between different sides of the spectrum. We believe in freedom of speech, inclusivity, and a mix of cultures.
Building a safer world - Empathy is the key to understanding alterity. Caring for each other is our driver to creating a safe community.
Making bold moves - We are ambitious challengers. We are making against-the-flow choices to make visible changes in the platform's ecosystem
Creating meaning - We spark joy and curiosity, we feel good about what we do and we want everyone else to feel the same fulfillment

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