DevOps Engineer Cloud & Databricks, remote and Karlsruhe (m/f/d)

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.

Skills

• Databricks
• Kubernetes
• Gitlab
• Prometheus
• Grafana
• Checkmk
• Terraform
• DevOps
• Cloud
• Azure
• Infrastructure as Code
• CI/CD
• Linux
• Apache Spark

emagine IT Services and IT Consulting Denmark 1961