MLOps / Platform Engineer (m/w/d)
Hybrid
Core
Building and operating the infrastructure behind AI systems, ensuring reliable operation of central cluster services and CI/CD pipelines.
Role type
MLOps/Platform Engineer
Builds
Kubernetes clusters, CI/CD pipelines, and observability stacks for AI/ML services
Domain
AI/ML infrastructure, DevOps, Cloud Native
Deliverable
infrastructure
Required skills
Kubernetes, CI/CD, GitOps, Linux, Networking, Observability, Software Engineering, DevOps
Preferred skills
Ray, GPU infrastructure, ArgoCD, ArgoWorkflows, Prometheus, Grafana, Loki
Responsibilities
Maintain and update central cluster services, improve platform services (Ingress, Certificates, DNS, Secrets), manage CI/CD and GitOps pipelines, integrate new services into clusters, monitor production services and build observability
Seniority
Mid-Senior, hands-on IC
