Senior HPC Systems Engineer: Linux, Slurm & Storage

Rapsys Technologies Pte Ltd.; Singapore; On-site; SGD 90,000 - 140,000; Full time

Job summary

Rapsys Technologies Pte Ltd. is seeking an experienced HPC Systems Engineer to support and operate large-scale Linux-based HPC, storage, and networking environments in Singapore.

The role serves researchers, academic users, and enterprise workloads, ensuring reliable, secure, and high-performance HPC operations. You will administer HPC clusters, manage schedulers, parallel file systems, and data lake solutions, while coordinating with software and desktop teams to assist users and optimize

Qualifications

• ITIL Foundation or RHCSA or equivalent certification is required.
• Experience operating Linux-based HPC clusters and storage networks.
• Strong troubleshooting and problem-solving skills in high-performance environments.
• Ability to support researchers, academic users, and enterprise workloads.

Responsibilities

• Administer, operate, and maintain Linux-based HPC clusters, including compute, storage, and high-speed networking.
• Manage HPC schedulers (Slurm, PBS Pro, LSF).
• Handle parallel file systems (Lustre, GPFS/Spectrum Scale, BeeGFS) and Data Lake solutions (e.g. VAST).
• Oversee Hierarchical Storage Management (DMF) and cluster provisioning tools.
• Perform system monitoring, patching, upgrades, and capacity planning.
• Troubleshoot hardware, software, OS, and network issues; participate in on-call rotations.
• Collaborate with software engineers to support AI/DL workloads and assist users.
• Provide guidance to researchers on HPC application development, debugging, and parallelization.

Skills

Analytical thinking

Troubleshooting

Communication

Tools

Slurm

PBS Pro

LSF

Lustre

GPFS Spectrum Scale

BeeGFS

DMF

Data Lake (e.g. VAST)

Monitoring tools

Job description

Rapsys Technologies Pte Ltd. is seeking an experienced HPC Systems Engineer to support and operate large-scale Linux-based HPC, storage, and networking environments in Singapore.

The role serves researchers, academic users, and enterprise workloads, ensuring reliable, secure, and high-performance HPC operations. You will administer HPC clusters, manage schedulers, parallel file systems, and data lake solutions, while coordinating with software and desktop teams to assist users and optimize