Senior DevOps Engineer, Full Remote

Dailymotion

Senior DevOps Engineer focusing on empowering ML Engineers with tools and infrastructure at Dailymotion. Collaborating closely with AI teams in an AI-first environment.

Posted 8/1/2026full-timeRemote • 🇫🇷 FranceSenior💰 €75,000 - €85,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in MLOps and DevOps, with a strong focus on managing ML infrastructure and tools such as MLflow, Kubeflow, and GCP services. Proficient in Python and containerization technologies, enabling efficient ML product delivery and experimentation.

Highest-signal resume keywords

MLOps ExpertiseGCP (Vertex AI, GKE, GCS, BigQuery)Kubernetes in ProductionMLflow, Kubeflow, KubeRayPython Programming

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

MLOpsDevOpsPythonBashIaC (Terraform)Containerization (Docker, Helm)GPU ManagementGitOps (FluxCD, ArgoCD)Observability (Prometheus, Datadog, Looker)Kubernetes

Soft Skills

Technical MediationCollaborationProblem-Solving

Tools & Technologies

MLflowKubeflowKubeRayGCPVertex AIGKEGCSBigQueryPrometheusDatadog

Industry Keywords

MLOpsDevOpsCI/CDMachine LearningInfrastructure Management

Tech Stack

Tools & technologies

BigQueryDockerGoGoogle Cloud PlatformKubernetesPrometheusPythonRustTerraform

About the role

Key responsibilities & impact

Empower ML Engineers with the tools, infrastructure, and frameworks they need
Accelerate time-to-market for production-ready ML products
Own ML CI/CD in collaboration with the ML team
Keep ML Engineers in control of their models in production
Enable large-scale ML experimentation
Deliver MLOps building blocks (MLflow, Kubeflow, KubeRay)
Manage GPU infrastructure dynamically
Tackle technical debt on existing projects
Be the technical mediator between ML and Backbone teams
Handle run responsibilities including on-call and post-mortems

Requirements

What you’ll need

Solid MLOps or DevOps background
GCP expert: Vertex AI, GKE, GCS, BigQuery
Full GitOps: FluxCD first, ArgoCD accepted
Kubernetes in production
Hands-on with MLOps tools: MLflow, Kubeflow, KubeRay
GPU-aware management during mass training runs
Python is a must, Bash expected, Go or Rust is a plus
IaC (Terraform), containerization (Docker, Helm), observability (Prometheus, Datadog, Looker)
Fluent in French and English.

Benefits

Comp & perks

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