Linux Infrastructure Engineer (Bare Metal, Storage & AI Factory)

About the role

We are looking for a senior Linux Infrastructure Engineer to design, deploy, operate and troubleshoot large‑scale Linux‑based infrastructure that supports both traditional enterprise workloads and modern AI/ML environments. The role focuses on bare‑metal as a service, high‑performance storage, and GPU‑accelerated AI Factory platforms.

Key responsibilities

• Architect and manage bare‑metal server provisioning, lifecycle, and BMaaS platforms.
• Deploy, configure, and maintain enterprise Linux environments (Ubuntu, Red Hat, SUSE) at scale.
• Design, install, and support GPU clusters for AI/ML workloads, including NVIDIA A100/H100/H200/B200 platforms.
• Implement high‑performance storage solutions and ensure low‑latency networking for HPC and AI training.
• Monitor hardware health, perform diagnostics, and resolve firmware, BIOS/UEFI, RAID, iLO/iDRAC, IPMI, SmartNIC and HBA issues.
• Optimize GPU resource allocation, scheduling, and performance using CUDA, NCCL, GPUDirect Storage and NVIDIA Fabric Manager.

Required profile

• Extensive hands‑on experience with Linux system administration on Ubuntu (mandatory) and preferably Red Hat or SUSE.
• Deep knowledge of bare‑metal infrastructure, server hardware components and lifecycle management.
• Proven track record deploying and supporting GPU‑accelerated AI/ML environments.
• Strong understanding of high‑performance computing (HPC) and AI Factory architecture.

Required skills

• Linux (Ubuntu, Red Hat, SUSE)
• Bare Metal as a Service (BMaaS)
• Server hardware: BIOS/UEFI, RAID, iLO/iDRAC, IPMI, SmartNICs, HBAs
• NVIDIA GPUs (A100, H100, H200, B200, DGX, OEM servers)
• GPU provisioning, monitoring and performance tuning
• CUDA, NCCL, GPUDirect Storage, NVIDIA Fabric Manager, NVIDIA Base Command
• High‑bandwidth, low‑latency networking design
• HPC and AI/ML workload support