Job Details
- Location: Hybrid, Kiel, Germany
- Language: German and English
- Salary: Attractive, above-average compensation with bonus opportunities and individual development prospects.
Responsibilities
If you would like to actively shape modern cloud and platform landscapes, beON is the right place for you. We are looking for an experienced Platform Engineer / DevOps Consultant with a strong focus on Linux, Kubernetes, cloud, and automation. In addition, we offer you the opportunity to grow into modern AI platform topics. Prior experience in this area is not required — what matters is a clear interest in learning and developing in this field.
- Build, operate, and further develop modern Linux-based platforms
- Administer and engineer Kubernetes, Red Hat OpenShift, or Rancher environments
- Design and implement cloud infrastructures on Azure, AWS, or GCP, including deployment and architecture-related tasks
- Automate infrastructure and deployments using Terraform and Ansible
- Develop and optimize CI/CD pipelines and GitOps-based operating models
- Support monitoring, security, code scanning, automation, and reliability in line with a DevOps / SRE mindset
- Work with Git and artifact management solutions such as Nexus, JFrog, or Harbor
- Grow into AI-related platform topics such as OpenShift AI, KServe, vLLM, GPU infrastructure, and model serving
- Collaborate with project teams, clients, and stakeholders in demanding transformation projects
Qualifications
- Degree with a technical focus or a comparable IT qualification
- Experience as a Platform Engineer, DevOps Consultant, Cloud Engineer, or in a comparable role
- Strong Linux / infrastructure administration skills, ideally with Red Hat, SUSE, or CentOS
- Hands-on experience with Kubernetes, Red Hat OpenShift, or Rancher
- Experience with at least one hyperscaler: Azure, AWS, or GCP, including practical project experience in deployments and architecture
- Strong skills in Infrastructure as Code, especially Terraform and Ansible
- Experience with CI/CD, automation, and GitOps, e.g. Jenkins, GitHub Actions, Azure DevOps, or ArgoCD
- DevOps / SRE mindset and experience with Git, artifact management, code scanning, and pipeline management
- Strong interest in AI platforms and motivation to learn topics such as OpenShift AI, AI/ML workloads on Kubernetes, KServe, vLLM, GPU infrastructure, and model serving
- Prior exposure to AI, data, or automation topics is a plus, but not required
- Business fluent German and English, both written and spoken
