Senior Linux Infra Engineer - Bare Metal, GPU & AI Storage

Uvation, Inc.; Las Vegas (NV); On-site; USD 140,000 - 180,000; Full time

Job summary

Uvation, Inc. seeks a senior Linux Infrastructure Engineer to design, deploy, and sustain large-scale Linux-based infrastructure powering traditional workloads and AI/ML environments.

The role centers on BMaaS, GPU-enabled platforms, high-performance storage, and data center operations as part of a dedicated engineering team. The candidate will own hardware-to-software stack, including servers, networking, storage, GPU clusters, and AI-ready platforms, with emphasis on performance, reliability,

Qualifications

• Expert-level Linux administration across enterprise distros.
• Hands-on BMaaS platform deployment, lifecycle management.
• Experience with GPU-accelerated infrastructure for AI/ML workloads.
• Knowledge of HPC and AI Factory architectures.
• Strong storage expertise including Ceph and high-performance platforms.

Responsibilities

• Design, deploy, operate, and troubleshoot large-scale Linux infrastructure.
• Manage bare metal servers, networking, and storage
• Oversee GPU clusters, AI training environments, and HPC workloads.
• Ensure high availability, disaster recovery, and capacity planning.
• Develop runbooks, SOPs, and automation scripts (Bash/Python).

Skills

Linux administration

BMaaS

GPU infrastructure

HPC

AI Factory environments

CUDA/NVIDIA ecosystem

Ceph storage

High-performance storage

Networking (100G/200G/400G)

Bash scripting

Python scripting

Tools

Ceph

WEKA

VAST Data

Dell PowerScale

Pure Storage FlashBlade

NetApp

NVIDIA DGX / GPUs

KVM/VMware/OpenShift Virtualization

NVIDIA Spectrum-X

Job description

Uvation, Inc. seeks a senior Linux Infrastructure Engineer to design, deploy, and sustain large-scale Linux-based infrastructure powering traditional workloads and AI/ML environments.

The role centers on BMaaS, GPU-enabled platforms, high-performance storage, and data center operations as part of a dedicated engineering team. The candidate will own hardware-to-software stack, including servers, networking, storage, GPU clusters, and AI-ready platforms, with emphasis on performance, reliability,