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# Working Student DevOps & Cloud Engineering

- **Company:** Siemens AG
- **Location:** Berlin, Germany
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Amazon Web Services, Computer Vision, Command-Line Interface, Cloud Computing, Linux, DevOps, Github, Python (Programming Language), Software Systems, Gitlab, Information Technology, Terraform, Web Trends
- **Published:** October 12, 2026
- **Apply:** https://www.indeed.com/viewjob?jk=0ab539d457dbd80f

## About the Role

* You are currently pursuing a degree in Computer Science, Electrical Engineering, or a comparable field of study, have completed at least your fourth semester, and are available to work 15-20 hours per week.
 * You have good Linux skills, are comfortable working with the command line, and have already gained initial experience with Python.
 * In addition, you have gained first experience with cloud technologies (e.g., AWS) and have ideally applied them in practice.
 * You are passionate about innovative technologies and eager to explore new topics and areas of expertise.
 * You approach tasks independently, work in a structured manner, and communicate clearly and effectively.
 * You have very good English skills for collaborating in our international team; German language skills are a plus.

## Description

As a working student (f/m/d), you will support our research and development projects for the rail industry and contribute to innovative topics related to DevOps, cloud technologies, AI, and computer vision.

 * You work closely with our various project teams and support them in the development and operation of innovative software solutions.
 * You contribute to the maintenance and further development of our shared infrastructure components.
 * In doing so, you will work with modern technologies such as Terraform for Infrastructure as Code as well as CI/CD pipelines in GitLab and GitHub.
 * You research and analyze current technology trends in the DevOps domain and bring your insights into our projects.
 * Last but not least, you connect with other project teams and working students, share knowledge, and contribute your own ideas to our R&D community.