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DDN Storage

Lab Administrator

Engineering

Employment

Full-time
From the employer

FullTime

Level

Not stated

Team

Department / SFA Engineering
Not doable from Austria

Country assessment

Not doable from Austria because the employer's own board marks it as not remote.

Our assessment is guidance. Confirm arrangements with the employer.

Skills mentioned in this posting

PythonDockerLinuxObservability

Job description

Role Summary
Responsible for the setup, maintenance, security, and day-to-day operation of a technical/research lab environment (servers, storage systems, networking equipment, and lab-issued workstations), ensuring high availability, performance, and compliance with organizational policies.

Key Responsibilities

  • Install, configure, and maintain lab hardware (servers, storage arrays, NICs, switches) and software (OS images, drivers, monitoring tools)

  • Manage user access, accounts, and permissions across lab systems

  • Monitor system health, performance, and capacity (CPU, memory, storage, network utilization)

  • Troubleshoot hardware/software issues and coordinate with vendors for support/RMAs

  • Maintain documentation: network diagrams, asset inventories, configuration baselines, SOPs

  • Implement and enforce security policies (patching, firewall rules, access controls)

  • Manage backups, disaster recovery procedures, and data retention policies

  • Support researchers/engineers with environment setup for experiments, benchmarks, or testing (e.g., provisioning compute nodes, storage volumes, network configs)

  • Track licensing, warranties, and hardware lifecycle (procurement to decommissioning)

  • Coordinate lab scheduling/resource allocation if shared across teams

Required Skills/Qualifications

  • Strong Linux administration experience (Ubuntu/RHEL/CentOS)

  • Networking fundamentals (TCP/IP, VLANs, bonding/LACP, basic troubleshooting)

  • Experience with storage systems (SAN/NAS, parallel filesystems like Lustre/GPFS a plus)

  • Scripting ability (Bash, Python) for automation

  • Familiarity with virtualization/containerization (KVM, Docker) is a plus

  • Experience with monitoring tools (Prometheus/Grafana, Nagios, Zabbix)

  • Understanding of hardware components (CPUs, NUMA architecture, PCIe, NICs/RDMA)

  • Good documentation and communication skills

Nice to Have

  • Experience with HPC/AI infrastructure (InfiniBand, RDMA, GPU clusters)

  • Experience with configuration management (Ansible, Puppet)