Senior Engineer – HPC Operations | UAE

Raqmiyat; United Arab Emirates; On-site; AED 320,000 - 520,000; Full time

Job summary

Raqmiyat in the UAE is seeking a Senior Engineer – HPC Operations to lead the configuration, optimization, and maintenance of GPU‑intensive HPC clusters supporting AI/ML workloads. This role requires strong hands‑on experience in HPC infrastructure, systems engineering, or DevOps environments.

You will manage Slurm and/or Kubernetes clusters, optimize GPU resource usage, and implement scheduling and performance tuning.

Qualifications

• Minimum 5+ years of relevant professional experience.
• Hands-on experience in HPC Operations, Systems Engineering, or DevOps environments.
• Experience configuring and maintaining HPC infrastructure.
• Hands-on experience with Slurm Clusters and/or Kubernetes.
• Knowledge of GPU resource management and workload scheduling.
• Experience with performance tuning.
• Experience with Linux (RHEL/CentOS/Ubuntu).
• Networking: RDMA, InfiniBand, RoCE.
• Storage: NFS, Lustre, Ceph.
• Automation: Python, Bash, Ansible, Terraform.
• Monitoring: Prometheus, Grafana, DCGM.
• Immediate to 30 days notice preferred.

Responsibilities

• Configure, optimize, and maintain complex HPC infrastructure environments.
• Manage HPC clusters using Slurm and/or Kubernetes.
• Monitor GPU resources for AI/ML workloads.
• Implement workload scheduling and performance optimization.
• Monitor infrastructure with Prometheus, Grafana, DCGM.
• Automate operations using Python, Bash, Ansible, Terraform.
• Manage Linux-based operating systems.
• Support high-performance networking technologies (RDMA, InfiniBand, RoCE).
• Manage storage with NFS, Lustre, Ceph.
• Troubleshoot infrastructure and cluster performance issues.
• Support reliable HPC operations for demanding workloads.

Skills

HPC Operations

Systems Engineering

DevOps

Tools

Slurm Clusters

Kubernetes

Prometheus

Grafana

DCGM

Python

Bash

Ansible

Terraform

NFS

Lustre

Ceph

RDMA

InfiniBand

RoCE

Linux

RHEL

CentOS

Ubuntu

Job description

Location: United Arab Emirates (UAE)
Experience: 5+ Years
Notice Period: Immediate to 30 Days Preferred

Job Category:

• Information Technology (IT) & Software
• Engineering & Technical

Job Overview

An exciting opportunity is available for an experienced Senior Engineer – HPC Operations in the UAE. This position is suitable for professionals with strong hands‑on experience in High-Performance Computing (HPC) infrastructure, systems engineering, or DevOps environments.

The successful candidate will be responsible for configuring, optimizing, and maintaining complex HPC environments supporting GPU‑intensive workloads and AI/ML applications. Practical experience with cluster management technologies such as Slurm and/or Kubernetes, GPU resource management, workload scheduling, and performance tuning is essential.

Candidates should also have experience with Linux operating systems, infrastructure automation, monitoring tools, high-performance networking, and distributed storage technologies. Professionals with strong technical expertise in HPC infrastructure and AI/ML workload operations are encouraged to apply.

Key Responsibilities

• Configure, optimize, and maintain complex HPC infrastructure environments.
• Manage and support HPC clusters using Slurm and/or Kubernetes.
• Monitor and manage GPU resources for AI/ML workloads.
• Implement workload scheduling and performance optimization strategies.
• Monitor infrastructure performance using Prometheus, Grafana, and DCGM.
• Automate infrastructure operations using Python, Bash, Ansible, and Terraform.
• Manage and maintain Linux‑based operating systems.
• Support high‑performance networking technologies, including RDMA, InfiniBand, and RoCE.
• Manage storage environments using NFS, Lustre, and Ceph.
• Troubleshoot infrastructure and cluster performance issues.
• Support reliable HPC operations for demanding computational workloads.

Requirements & Qualifications

Experience Requirements

• Minimum 5+ years of relevant professional experience.
• Strong hands‑on experience in HPC Operations, Systems Engineering, or DevOps environments.

HPC Infrastructure & Cluster Management

• Experience configuring and maintaining HPC infrastructure.
• Hands‑on experience with Slurm Clusters and/or Kubernetes.
• Knowledge of GPU resource management and workload scheduling.
• Experience with performance tuning.

Monitoring Tools

• Prometheus.
• Grafana.
• DCGM.

Automation & Scripting

• Python.
• Bash.
• Ansible.
• Terraform.

Operating Systems

• Linux.
• Red Hat Enterprise Linux (RHEL).
• CentOS.
• Ubuntu.

Networking Technologies

• RDMA.
• InfiniBand.
• RoCE.

Storage Technologies

• NFS.
• Lustre.
• Ceph.

Additional Requirement

– Immediate to 30 days’ notice period is preferred.

Salary, Benefits & Career Growth

The employer has not specified salary or additional employee benefits.

This opportunity provides exposure to advanced HPC infrastructure, GPU computing, AI/ML workloads, cluster management, infrastructure automation, and high‑performance networking technologies.

Specific training, certification support, and additional professional development benefits have not been specified.