DevOps / System Administrator | DevOps/Systemadministrator (m/w/d)

Sielaff Software & Service GmbH & Co. KG

Ilmenau, Thüringen, Thüringen, Deutschland
Published Feb 16, 2026
Full-time
Permanent

Job Summary

This role involves the comprehensive management and evolution of a modern IT infrastructure for a company specializing in vending machine software and automated return systems. You will be responsible for building and maintaining CI/CD pipelines, managing containerized environments using Docker and Kubernetes, and automating internal deployment processes. Beyond routine Linux server administration, you will play a pivotal role in optimizing monitoring and logging systems and supporting the development of future AI-based data pipelines. This position is ideal for a proactive professional who enjoys bridging the gap between software development and infrastructure operations. The company offers a stable, family-oriented work environment with flexible hours, remote work options, and 30 days of vacation, making it an attractive choice for those seeking a healthy work-life balance while working on cutting-edge automation technology.

Required Skills

Education

Completed vocational training as an IT Specialist for System Integration, a University degree in IT/Computer Science, or a comparable qualification through professional experience.

Experience

  • Professional experience in Linux system administration and command-line operations
  • Practical experience with containerization technologies, specifically Docker
  • Experience in managing and configuring CI/CD tools such as GitLab CI or TeamCity
  • Experience in scripting and automation using Bash or Python
  • Experience with core network services and security protocols
  • Preferred experience in Kubernetes orchestration and Proxmox virtualization

Languages

Not specified

Additional

  • The position is a full-time, permanent (unbefristet) contract. Candidates must be willing to work in a hybrid model (office/home office) and demonstrate a high readiness to learn, particularly in the field of AI-supported automation.