HPC High-Performance Computing System Administrator

Client Provided Role Summary: The HPC Administrator will support the deployment, monitoring, and maintenance of High Performance Computing (HPC) environments, along with broader infrastructure components including CPU-based servers and operating systems.

Client Provided Key Responsibilities

• Support day-to-day operations of HPC clusters (compute, storage, and networking)
• Monitor system performance, job scheduling, and resource utilization
• Assist in installation, configuration, and patching of Linux/Unix-based systems
• Manage CPU-based servers and virtual environments
• Support job schedulers (e.g., Slurm, PBS, LSF – basic exposure)
• Perform system health checks, troubleshooting, and incident resolution
• Assist in user onboarding, access management, and environment setup
• Work with senior engineers on cluster optimization and scaling activities
• Maintain documentation and operational runbooks

Client Provided Required Skills & Experience

• 1–3 years of experience in IT infrastructure / system administration
• Basic exposure to HPC environments or cluster computing
• Strong knowledge of: Linux (RHEL, Ubuntu, CentOS) and CPU-based servers (bare metal / virtualized)
• Understanding of: Networking fundamentals (TCP/IP, DNS, etc.) and Storage concepts (NAS, SAN, parallel file systems – basic awareness)
• Scripting knowledge (Shell / Python – preferred) • Good troubleshooting and analytical skills

Client Provided Preferred Skills

• Exposure to GPU-based environments (nice to have)
• Awareness of cloud platforms (AWS / Azure HPC offerings)
• Familiarity with monitoring tools ============================= What an ideal candidate should have: (A) Required / Basic Exposure:
• Understanding of HPC cluster architecture, including compute nodes, storage systems and networking components.
• Basic exposure to HPC job schedulers (Slurm, PBS or LSF).
• Familiarity with Linux-based HPC environments and system administration.
• Understanding of HPC workload monitoring, resource utilisation and troubleshooting.
• Basic knowledge of enterprise storage, filesystems and networking.

(B) Preferred / Good to Have:

• Exposure to parallel filesystems (GPFS, Lustre or BeeGFS).
• Familiarity with InfiniBand, RDMA or high-speed cluster networking.
• Exposure to GPU-based HPC environments (NVIDIA GPU/CUDA).
• Experience supporting HPC workload optimisation or performance monitoring.
• Exposure to HPC cluster deployment, provisioning or configuration.