Senior DevOps Engineer (Full Remote from France)
Core
Empower ML Engineers with industrialized infrastructure to ship +100 active AI projects on GCP, focusing on seamless integration, production monitoring, and large-scale experimentation.
Role type
Senior MLOps/DevOps Engineer (IC)
Builds
Production-ready ML products, CI/CD pipelines, and scalable GPU infrastructure on GCP.
Domain
AI/ML infrastructure on Google Cloud Platform (GCP)
Deliverable
production ML models | infrastructure
Required skills
GCP (Vertex AI, GKE, GCS, BigQuery), Kubernetes, GitOps (FluxCD), MLOps tools (MLflow, Kubeflow, KubeRay), Python, Bash, Terraform, Docker, Helm, Prometheus, Datadog, Looker, GPU resource management
Preferred skills
Go, Rust, Jupyter Notebooks, Airflow, Dataflow, Kestra, Redis clusters, infrastructure performance optimization
Responsibilities
Own ML CI/CD pipelines, monitor and troubleshoot models in production, manage dynamic GPU infrastructure, handle on-call duties and post-mortems, act as technical mediator between ML and Backbone teams
Seniority
Senior, hands-on IC