Administer large-scale Linux environments supporting AI training, inference, and HPC workloads.

Own deep troubleshooting of OS, kernel, boot, package, firmware, driver, filesystem, service, and resource-consumption issues across bare-metal server fleets.

Diagnose failures across BIOS, BMC, PXE, DHCP, DNS, NFS, local disk, RAID, NVMe, systemd, and GPU driver stacks.

Build and maintain golden images, provisioning pipelines, configuration baselines, and post-deployment validation procedures.

Partner with network, platform, storage, and validation teams to isolate cross-domain failures affecting cluster readiness or job execution.

Investigate performance anomalies involving CPU, memory, NUMA, I/O, interrupts, process scheduling, and kernel tuning.

Automate repeatable administration and remediation tasks with Bash and Python.

Produce clear runbooks, failure signatures, and escalation criteria for recurring operational issues.

7+ years delivering Linux administration in data center, cloud, AI, or HPC environments.

Deep expertise with RHEL, Ubuntu, Rocky, or similar enterprise Linux distributions.

Strong troubleshooting skill across boot flow, system logs, networking stack, authentication, service lifecycle, and hardware-software interaction.

Experience with GPU servers, out-of-band management, firmware coordination, and cluster node bring-up.

Hands-on knowledge of Ansible, PXE/iPXE, Kickstart, cloud-init, image lifecycle management, and configuration enforcement.

Strong shell scripting and Python-based automation capability.

Working knowledge of storage and network dependencies affecting Linux host health.

Ability to operate independently in ambiguous, high-severity production situations.

Exposure to Slurm, Kubernetes, container runtimes, or AI cluster schedulers.

Familiarity with DCGM, Mellanox networking, and telemetry-driven health analysis.

Experience supporting validation labs or pre-production cluster certification.