Dailymotion

Senior DevOps Engineer (Full Remote from France)

Rol remoto de DevOps Engineering con fit claro de ubicación del candidato.

Publicado16 jun 2026

Países elegibles1 país aceptado

Señal de senioritySenior

Modelo de trabajoRemoto

Ubicaciones aceptadas para candidatos

Francia

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Actualidad de la fuente16 jun 2026

Fit de ubicación1 país aceptado

Match de stackAWS, CI/CD

Camino de aplicaciónSitio de la empresa

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Match de stackAgrega skills al perfil para compararAWS, CI/CD

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Aplicando aSenior DevOps Engineer (Full Remote from France)Dailymotion

Fit de país1 país aceptado

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Resumen del rol

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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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