Job Description

  • Do you want to actively shape modern software and AI platforms and ensure that applications operate reliably, securely, and automatically? As a DevOps Engineer, you will be responsible for building, developing, and maintaining the stable operation of our Kubernetes-based infrastructure. You will work closely with our development and data teams and play a key role in shaping our automation and deployment processes.
YOUR TASKS
  • You will develop, operate and optimize our Kubernetes infrastructure, including Infrastructure-as-Code, deployment mechanisms and cluster management.
  • You will implement and maintain CI/CD pipelines that ensure the automated build, test, and deployment process of our software and AI applications.
  • You automate operational processes, scaling concepts, and recurring workflows to provide an efficient and robust platform.
  • You will support the AI ​​team in the deployment, testing, and troubleshooting of their applications and models.
  • You maintain and further develop Helm charts, operators and deployment tools, and ensure that new features are rolled out in a targeted and reliable manner.
  • You will work in an agile project environment with a dedicated team.
YOUR PROFILE
  • You have a completed degree in computer science, data science, electrical engineering or a comparable qualification.
  • You have solid experience in dealing with Kubernetes, especially with deployments, Helm, operators, network and security concepts (RBAC), ideally in on-premises infrastructures.
  • You have knowledge of modern automation and infrastructure tools such as GitLab CI, ArgoCD, Terraform or Ansible.
  • Ideally, you would have experience with monitoring and logging stacks such as Prometheus, Grafana, Loki or the ELK stack.
  • You have practical experience with containers, Linux system administration and scripting (e.g. Bash).
  • If we could wish it, you would have knowledge in the area of ​​security hardening, for example in OPA/Gatekeeper, Kyverno or network policies.
  • You enjoy working in a team, actively contribute, and play a key role in shaping current and future topics in the field of AI.
Become part of our team! We look forward to receiving your application.