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# (Junior) Professional DevOps/Infrastructure Engineer

- **Company:** Giesecke+Devrient GmbH
- **Location:** München, Germany
- **Experience:** Starter
- **Contract:** Permanent contract
- **Skills:** Amazon Web Services, Microsoft Azure, Bash Shell, Unix, Databases, Continuous Integration, DevOps, Virtual Private Networks (VPN), Python (Programming Language), Networking Basics, TCP/IP, Data Logging, Scripting, Google Cloud, Delivery Pipeline, Firewalls (Computer Science), Infrastructure as Code (IaC), Git, Kubernetes, Terraform, Docker
- **Published:** May 13, 2026
- **Apply:** https://de.indeed.com/viewjob?jk=58f6bc484b9d1b31

## About the Role

Do you have experience in UNIX?, Do you have a Bachelor's degree?, * Bachelors degree in IT or comparable experience.

 * Hands-on experience with a public cloud provider (AWS, Azure, GCP)
 * Familiarity with Infrastructure as Code-especially Terraform is a major plus
 * Basic containerization knowledge (Docker) and exposure to Kubernetes/other orchestration platforms
 * Comfortable in Linux/Unix environments
 * Good scripting skills (Bash, Python, etc.)
 * Basic networking knowledge (TCP/IP, VPNs, firewalls) and an understanding of high-availability concepts
 * Exposure to Git/GitOps workflows-tools like ArgoCD are a bonus
 * Interest in security best practices and an eagerness to learn how to apply them
 * Problem-solving mindset and a desire to grow through collaboration

## Description

* Assist in defining and managing runtime infrastructure using Infrastructure as Code (IaC), covering basics like networking, databases, and proxies for both cloud (AWS, Azure) and on-prem setups
 * Contribute to building secure, stable, and scalable systems, following network and security best practices-with support and guidance from senior teammates
 * Help implement and maintain monitoring, logging, and alerting tools so teams understand and support their applications easily
 * Support development teams with CI/CD processes-build pipelines, testing, packaging, and deployment workflows
 * Spot repetitive tasks and help automate them, promoting self-service and operational efficiency across the team


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