DevOps Engineer automating end-to-end deployments and collaborating with teams at AI cyber-risk platform company. Building observability stack and operating on-prem environment in Leipzig, Germany.
Responsibilities
Automate end-to-end deployments with GitOps (e.G. Argo CD/Flux) and CI/CD pipelines (e.G. GitHub Actions, Google Cloud Build).
Operate & scale a on-prem environment (NVIDIA GPU servers).
Build an observability stack (e.G. Prometheus, Grafana, OpenTelemetry) and define SLOs for latency, error budget and uptime.
Harden Kubernetes, implement Zero-Trust networking and manage secrets with Vault.
Collaborate with Data & ML engineers so new AI models reach production in minutes.
Requirements
3 + years as a DevOps/SRE in cloud or hybrid environments.
Solid hands-on with Terraform, Kubernetes, Docker and Linux networking.
Experience running CI/CD for microservices; GitOps mindset preferred.
Security & hardening know-how (IAM, least privilege, vulnerability patching).
Nice to have: Ceph, Ansible, Argo Workflow or Kubeflow.
Fluent in English (our team language); German is a plus.
Benefits
Ownership from Day 1 : blueprint and build the infra you always wanted.
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