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OpenStack Cloud System Specialist (f/m/d)

04.02.2025, Wissenschaftliches Personal

As an OpenStack Cloud System Specialist, you will be responsible for managing, maintaining, and optimizing an OpenStack cloud infrastructure dedicated to medical research. Your expertise will be pivotal in ensuring its security, reliability, and scalability. You will contribute strategically to the system architecture ensuring the system aligns with security and medical research goals of the DigiMed Bayern Project.

YOUR ROLE AND RESPONSIBILITIES:

  • Administer and manage an OpenStack cloud infrastructure, including deployment, configuration and maintenance.
  • Monitor system performance, troubleshoot issues, and ensure high availability and reliability of the cloud environment.
  • Automate routine tasks using scripting languages, with an emphasis on ansible.
  • Implement and maintain security best practices to protect the cloud infrastructure and data.
  • Cooperate with third-party project partners to enhance workflow efficiency and data migration, integration, and management.
  • Carry out research on state-of-the-art technologies

BASIC QUALIFICATIONS:

  • University degree (master or above) in computer science, mathematics or natural sciences, preferably with background in IT and cloud computing technologies.
  • Proven experience in system administration, with a focus on cloud environments.
  • In-depth knowledge of virtualization and containerization technologies.
  • Familiar with at least one programming/scripting language, e.g. Python, Golang.
  • Fluent in English (C1 level).
  • German speaking is a plus.

PREFERRED QUALIFICATIONS:

  • Knowledge of different cloud technologies/platforms, e.g. VMware, Kubernetes, Azure etc.
  • Knowledge of storage management systems, e.g. ceph, Lustre.
  • Knowledge of monitoring tools, e.g. Checkmk.
  • Knowledge of regulation and compliance framework, e.g. NIS2, C5 etc.

The position is suitable for disabled persons. Disabled applicants will be given preference in case of generally equivalent suitability, aptitude and professional performance.

Data Protection Information:
When you apply for a position with the Technical University of Munich (TUM), you are submitting personal information. With regard to personal information, please take note of the Datenschutzhinweise gemäß Art. 13 Datenschutz-Grundverordnung (DSGVO) zur Erhebung und Verarbeitung von personenbezogenen Daten im Rahmen Ihrer Bewerbung. (data protection information on collecting and processing personal data contained in your application in accordance with Art. 13 of the General Data Protection Regulation (GDPR)). By submitting your application, you confirm that you have acknowledged the above data protection information of TUM.

Kontakt: Florent Dufour, florent@lrz.de

More Information

https://lrz.jobs.personio.de/job/1947072?language=en&display=en