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