Ingénieur Devops IA - CDI (H/f)
Core
Industrialize and automate the deployment of on-premise generative AI platforms, ensuring high availability and security for inference workloads.
Role type
Senior DevOps Engineer (Generative AI Infrastructure)
Builds
On-premise generative AI platforms, managed model access gateways, and secure inference services.
Domain
Generative AI / Cloud Infrastructure / Security
Deliverable
production ML models
Required skills
Kubernetes/OpenShift, CI/CD (Jenkins, GitLab CI, Terraform, Ansible), GPU workload management, LLM deployment (vLLM, Triton, KServe), observability (Prometheus, Grafana, Dynatrace), security hardening, vector databases
Preferred skills
CKA/CKS certification, Red Hat OpenShift, self-hosted LLM deployment (Mistral), FinOps GPU
Technologies
Terraform, Ansible, Jenkins, GitLab CI, Kubernetes, OpenShift, Docker, LiteLLM, vLLM, Triton, KServe, OpenShift AI, Harbor, Vault, Keycloak, ArgoCD, MLflow, Dataiku, Airflow, Kubeflow, Argo Workflows, OpenSearch, pgvector, Dynatrace, Prometheus, Grafana, NVIDIA GPU Operator, CUDA
Responsibilities
Industrialize deployment of on-premise generative AI platforms; Automate CI/CD processes for models and services; Optimize GPU workloads and inference services; Design technical architecture integrating security and compliance; Develop managed services and model access gateways; Maintain operational platforms and monitor LLM-specific metrics; Lead technical aspects of the product within an Agile team.
Seniority
Senior, hands-on IC with technical leadership