DevOps Engineer - Cloud and On-Prem Infrastructure (m/f/d)

Stellenbeschreibung:

Are you ready to develop a greenfield stack spanning Google Cloud, Azure, and our own GPU cluster in Leipzig? At Cyber Insight , we develop DARA , an AI-powered cyber-risk platform that is trusted by original equipment manufacturers (OEMs) and enterprises. We guarantee >99.95% uptime and release new features in hours, not days. Join our 15-person hybrid team and take ownership of the infrastructure that keeps our customers safe.

Tasks

  • 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.
  • Cutting-edge tech : GPU cluster, MLOps, IaC—no legacy.
  • VSOP possible, hardware of your choice.
  • Flat hierarchy, 30 days vacation.

If you love automating everything, care about secure, observable systems and want your work to stop real-world cyber threats, let’s talk . Apply now with your résumé – and tell us your salary expectations. We aim to move from first call to offer within two weeks.

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Stelleninformationen

  • Veröffentlichungsdatum:

    04 Jan 2026
  • Standort:

    Leipzig
  • Typ:

    Vollzeit
  • Arbeitsmodell:

    Vor Ort
  • Kategorie:

  • Erfahrung:

    2+ years
  • Arbeitsverhältnis:

    Angestellt

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