Senior Linux Infra Engineer: Bare Metal & GPU AI Factory

Uvation, Inc.; Oregon; Hybrid; USD 160,000 - 230,000; Full time

Job summary

Uvation, Inc. is seeking a Senior Linux Infrastructure Engineer to design, deploy, operate, and optimize large-scale, GPU-enabled Linux environments.

You will own BMaaS provisioning, hardware lifecycle, and storage architectures for AI Factory workloads and HPC environments. The role emphasizes hands-on hardware, kernel-level tuning, and high-availability operations across data center platforms, with a focus on reliability and performance.

Qualifications

• Extensive hands-on Linux administration across enterprise platforms.
• Proficiency with Ubuntu; Red Hat and SUSE experience preferred.
• Deep hands-on in BMaaS, bare metal provisioning and lifecycle management.
• Experience designing and operating GPU-enabled infrastructure for AI/ML workloads.
• Strong storage expertise (Ceph, NVMe, SAN) and high-performance networking.
• Familiarity with HPC and AI Factory environments; disaster recovery planning.

Responsibilities

• Design, deploy, operate and troubleshoot large-scale Linux-based infrastructure.
• Lead BMaaS deployment, hardware provisioning, and lifecycle management.
• Build and manage GPU clusters, AI-ready platforms, and HPC workloads.
• Administer enterprise storage (Ceph, NVMe, SAS/SAN) and networking (100G/400G).
• Develop runbooks, automation scripts (Bash/Python) and incident response playbooks.
• Monitor performance, diagnose issues, and drive reliability and uptime.

Skills

Linux administration

Bare metal provisioning

BMaaS

GPU infrastructure

Ceph storage

Networking (100G/400G)

HPC/AI workflows

Python scripting

Bash scripting

Tools

iLO/iDRAC

NVMe/Storage hardware

DGX/NVIDIA GPUs

Ceph tooling

Prometheus/Grafana

Job description

Uvation, Inc. is seeking a Senior Linux Infrastructure Engineer to design, deploy, operate, and optimize large-scale, GPU-enabled Linux environments.

You will own BMaaS provisioning, hardware lifecycle, and storage architectures for AI Factory workloads and HPC environments. The role emphasizes hands-on hardware, kernel-level tuning, and high-availability operations across data center platforms, with a focus on reliability and performance.