Description
The client combines AI and healthcare to improve patient care globally and is growing its engineering team. Its platform enables product and ML teams to deliver secure, reliable, compliant AI solutions.
Responsibilities
•Own and operate Kubernetes clusters across AWS EKS, bare-metal K3s, and on-prem K3s appliances, ensuring stability and scalability
•Manage and automate infrastructure changes using GitOps workflows and infrastructure-as-code tools
•Manage the lifecycle of on-prem gateway appliances, including VM image builds, TLS automation, and staged rollouts
•Build and maintain monitoring and observability stacks across cloud and edge environments
•Drive security hardening, access control, audit logging, and encrypted secrets management
•Support GPU clusters, training job orchestration, and reliable ML data processing pipelines
•Design and maintain CI/CD pipelines
•Participate in on-call rotations, including incident detection, triage, and post-incident reviews
Requirements
No explicit requirements specified
Conditions
•Flexible working hours
•Hybrid working setup and opportunity for remote working
•Stock options
•30 vacation days plus your birthday off
•Germany transport ticket
•Urban Sports Club membership
