Ingénieur·e DevOps GPU (F/H/X)
Core
Deploy, industrialize, and operate on-premise GPUaaS and LLMaaS platforms for AI products and services.
Role type
Senior DevOps engineer (GPU/ML infrastructure)
Builds
GPUaaS and LLMaaS platforms
Domain
Data & AI, On-Premise infrastructure
Deliverable
production ML models
Required skills
Kubernetes, OpenShift, Docker, GPU orchestration (Run.ai, Slurm, ClearML, Volcano), MLOps, CI/CD (GitLab CI/CD, Jenkins), Python, Bash, Prometheus, Grafana, ELK Stack, PyTorch, TensorFlow
Preferred skills
Go, Kestra, CKA/CKAD/OpenShift certification, banking or regulated sector experience
Technologies
Kubernetes, OpenShift, Docker, Run.ai, Slurm, ClearML, Volcano, NVIDIA GPU Operator, GitLab CI/CD, Jenkins, Prometheus, Grafana, ELK Stack, PyTorch, TensorFlow
Responsibilities
Industrialize and automate AI platform deployment, evolve GPUaaS/LLMaaS architecture, implement managed services with security/compliance constraints, ensure production deployment and operational security, improve deployment and operation automation processes, present and demonstrate developed offerings, collaborate in an Agile DevOps team
Seniority
Senior, hands-on IC