Systems Engineer​/Administrator; m​/f​/d) AI Service Infrastructure

Description:

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We are looking to expand our team and are hiring:

Systems Engineer/Administrator(m/f/d)
for AI Service Infrastructure

• Planning, deploying and operating an ever-growing AI service infrastructure for researchers and academic users as a member of a dedicated team within a friendly and open work environment
• Running the day-to-day operations of high-performance cluster systems focused on AI and Data Analytics applications & workflows, following best-practices of system administration, automation and monitoring
• Interacting with technology providers and developers (hardware/software) as well as national and European collaboration partners and projects
• You actively contribute to the development and implementation of certified and transparent processes.

Required/Minimum Qualifications

• Master’s degree in computer science or other areas of scientific computing (e.g. physics, math), or Bachelor’s degree with multiple years (>3) of practical experience in system administration/engineering in research or enterprise environments

Other Requirements

• Proficiency working in data center environments (incl. Linux, Git, Gitlab)
• Advanced knowledge and experience in the administration/management of high-performance cluster systems for AI and Data Analytics, covering the majority of the following areas:
  • Compute resources, including
    • Accelerated server compute nodes (incl. GPUs)
    • Job scheduling and resource management (with Slurm Workload Manager)
    • Container orchestration (with Kubernetes)
  • Low latency fabrics (incl. Infini Band), Ethernet and additional networking technologies (DNS, Firewall, etc.)
  • Fabric attached high-performance storage (e.g. GPFS, NFS, RDMA)
  • Authentication/Authorization (incl. LDAP, Shibboleth)
• Practical knowledge in architecting/designing, deploying and maintaining hardware and software systems based on components/technologies as listed above
• Experience using automated tools for deployment and configuration management (i.e. infrastructure as code, e.g. Ansible), but not afraid to script on CLI, either (e.g. Bash, Python, Perl)
• Knowledge and experience in software deployment and software lifecycle management (ideally based on principles of continuous integration/continuous deployment, CI/CD)
• Willingness to keep up with current developments and to learn new technologies in the field of AI
• Friendly contact with colleagues/collaboration partners, and, where necessary, with users in higher level support
• Excellent English and preferably German writing and presentation skills
• You like to share your experience and review existing processes to identify opportunities for improvement within the team.

• Knowledge of machine learning/AI applications, frameworks and methods
• Experience with IT security management within an ISO 27001-compliant framework, including process definition, risk management, release and deployment management, and patching

Working time

full time (40 hrs) / part-time possible

flexible working model with electronic time recording

Contract duration

24 months, a further employment is intended

Remuneration

up to E 13, see Entgelttabelle TV-L

Annual leave / compensatory time off

30 days

(24.12. + 31.12. additionally day off)

Overtime is compensated by additional time off

Benefits

Up to 60% mobile work for suitable tasks, mostly two-person offices, bus and subway (U6) on the doorstep, free parking, pension plan of the Versorgungsanstalt des Bundes und der Länder (VBL), state-of-the-art work equipment, Cooperation Agreement with Sports Facility Providers for Discounted Membership

Are you looking for a multifaceted and intellectually stimulating position in a dynamic, cooperative and innovative work environment? Then LRZ is the place to be for you! Here at LRZ a collegial, appreciative work environment meets an international crowd of experts who work together to advance IT services for ground-breaking research. We offer flexible work schemes…