Shape the future of modern AI and cloud platforms. We are looking for two experienced **DevOps Engineers (m/f/d)** with a focus on **Cloud, Databricks, and Kubernetes** who will actively contribute to the development and enhancement of a modern AI and cloud landscape. In this role, you will work on the transformation of a cutting-edge technology platform and be responsible for the automation, stability, and scalability of cloud and container environments. You will operate in an innovative environment of **Azure, Databricks, Kubernetes/OpenShift, GitLab, and Infrastructure as Code**. **Your Responsibilities** - Design and support the further development of the AI and cloud platform landscape - Automated provisioning and management of cloud-native services using Infrastructure as Code - Build, maintain, and optimize CI/CD pipelines - Operate and enhance platforms based on Kubernetes/OpenShift - Deployment, operation, and orchestration of container applications - Ensure reliable GPU resource management for data- and AI-driven workloads - Design and operate monitoring, logging, and alerting solutions (e.g., Prometheus, Grafana, CheckMK) - Analyze and resolve incidents and issues as part of 2nd-level support - Collaborate with vendors and external support units - Ensure stability, quality, and delivery speed throughout the entire product lifecycle - Work closely with development and platform teams to establish Site Reliability Engineering (SRE) principles - Integrate security requirements and best practices into infrastructure and deployment processes. **Your Profile** - Successfully completed studies in computer science, business informatics, or a comparable IT education - Several years of practical experience as a DevOps Engineer, Cloud Engineer, or Platform Engineer - Very good knowledge of Linux systems, networks, and infrastructure operations - Experience in operating applications on Kubernetes/OpenShift - Knowledge of public cloud environments, ideally Microsoft Azure - Experience with Databricks, Apache Spark, or comparable big data/analytics platforms is a plus - Practical experience with CI/CD tools, Git-based development processes, and modern DevOps methods - Knowledge of Terraform or comparable Infrastructure-as-Code technologies is desirable - Experience with agile working methods and tools like Git, Jira, and Confluence - Fluent in German (at least C1) and good English skills (at least B2) - High degree of personal responsibility, strong teamwork skills, and a solution-oriented working style. **Technology Stack** - Azure - Databricks - Kubernetes / OpenShift - GitLab - Terraform - Prometheus - Grafana - CheckMK - Linux - CI/CD - Apache Spark **What to Expect** - Contribute to a pioneering cloud and AI transformation - Modern technologies and challenging platform engineering tasks - High technical design possibilities - Collaboration in interdisciplinary and agile teams - Exciting environment focused on cloud, data, and artificial intelligence. **Start:** November 2026 **Workload:** Full-time **Location:** remote and 1 to 2 days a month on-site in Karlsruhe + every 13 weeks for 2 to 3 days on-site in Karlsruhe.