DevOps Backup & Restore Engineer

Quick Facts

• Unlimited full-time position in a newly forming operations team focused on reliable operations, data security, and recoverability of critical systems.

Description

You will help design, build, operate, and continuously improve the DZA’s backup and restore infrastructure. The role focuses on robust, scalable backup/restore processes, data integrity, availability, and disaster recovery—integrated with virtualized environments and supported by the HPC environment at TU Dresden.

Responsibilities

• Build, operate, and further develop the DZA backup and restore infrastructure
• Ensure data integrity, system availability, and disaster recovery capabilities (business continuity management)
• Automate and monitor backup processes; implement monitoring and reporting solutions
• Integrate backup solutions in virtualized environments (snapshot, image, and file-level backups)
• Collaborate with internal departments, TU Dresden (HPC environment), and external project partners
• Support planning and implementation of security and compliance measures (BSI IT-Grundschutz, GDPR)
• Develop and document operating, recovery, and emergency procedures
• Contribute to designing and optimizing a scalable DevOps infrastructure for future research projects

Requirements

• Completed university degree in Computer Science or a related natural science/technical field
• Multi-year experience in backup and restore environments, ideally HPC or large data contexts
• Knowledge of HPC architectures, including batch job systems (e.g., Slurm, PBS Pro, LSF) and parallel file systems
• Experience with HPC, especially distributed file systems (e.g., CephFS, Lustre)
• Strong Unix/Linux skills, shell scripting, and automation (cron jobs, scripting)
• Basic knowledge of network protocols and experience operating backup infrastructure in virtualized environments
• Understanding of IT security and compliance (data integrity, encryption, GDPR, BSI IT-Grundschutz, disaster recovery)
• Interest in radio astronomy and processing extremely large datasets
• Proactive, solution-oriented and team-oriented working style
• Good English and German written and spoken skills

Benefits

• Responsible, versatile role at the interface of science, IT operations, and infrastructure management
• Opportunity to actively shape the technology build-up of a new national research center
• Collegial, interdisciplinary team with high technical expertise
• TVöD Bund pay (E 12) including annual special payment and additional social benefits
• High value placed on work-life balance, flexible work-time models, and possibility of part-time work