Senior Engineer – HPC Operations (Slurm, Kubernetes & GPU Computing) | Raqmiyat | UAE

Raqmiyat; United Arab Emirates; On-site; AED 300,000 - 450,000; Full time

Job summary

Raqmiyat seeks a Senior Engineer - HPC Operations to own and optimize cutting-edge HPC infrastructure in the UAE. You will manage Slurm clusters, containerized Kubernetes, GPU scheduling, and performance tuning.

The role requires hands-on experience with Prometheus, Grafana, and DCGM, plus automation via Python, Bash, Ansible, and Terraform. Responsibilities include Linux administration across RHEL/CentOS/Ubuntu, and high-speed networking support (RDMA/InfiniBand/RoCE), as well as

Qualifications

• Bachelor's or Master's in CS/CE/EE or related technical discipline.
• 5+ years in HPC Operations, Systems Engineering, or DevOps.
• Strong HPC infrastructure configuration, optimization, and maintenance.
• Experience with Slurm and Kubernetes cluster management.
• GPU scheduling, resource management, and performance tuning.
• Monitoring with Prometheus, Grafana, and DCGM.
• Automation with Python, Bash, Ansible, Terraform.
• Linux administration (RHEL/CentOS/Ubuntu) and high-speed networking.
• Familiarity with NFS, Lustre, Ceph storage.
• UAE work authorization and availability.

Responsibilities

• Architect, configure, optimize, and maintain HPC infrastructure and compute clusters.
• Manage enterprise clusters using Slurm and containerized Kubernetes.
• Oversee GPU resource management, job scheduling policies, and performance tuning.
• Configure and monitor observability stacks (Prometheus, Grafana, DCGM).
• Develop automation scripts and IaC with Python, Bash, Ansible, Terraform.
• Administer Linux OS (RHEL/CentOS/Ubuntu) and high-speed networking (RDMA/InfiniBand/RoCE).
• Support parallel storage (NFS, Lustre, Ceph) and collaborate with AI/data teams.
• Maintain runbooks and documentation; ensure security and reliability.

Skills

HPC operations

Slurm Workload Manager

Kubernetes

GPU resource management

AI/ML workload scheduling

Prometheus

Grafana

DCGM

Automation scripting

Python

Bash

Ansible

Terraform

RHEL/CentOS/Ubuntu

RDMA/InfiniBand/RoCE

NFS/Lustre/Ceph storage

Education

Bachelor's or Master's in CS/CE/EE

Tools

Slurm

Kubernetes

Prometheus

Grafana

DCGM

Python

Bash

Ansible

Terraform

RHEL

CentOS

Ubuntu

RDMA

InfiniBand

RoCE

NFS

Lustre

Ceph

Job description

Position Summary:

Driving cutting-edge High-Performance Computing (HPC) infrastructure, AI/ML workload orchestration, and complex systems engineering in the UAE, Raqmiyat is actively seeking an accomplished Senior Engineer - HPC Operations for a permanent full-time professional engagement. In this vital technical leadership role, you will take full operational, tactical, and technical ownership of complex HPC environments, cluster management utilizing Slurm and Kubernetes, GPU resource management, DCGM monitoring, network fabrics, and parallel storage systems. Bringing 5+ years of progressive professional hands-on experience in HPC operations, systems engineering, or DevOps environments, you will empower an elite technology enterprise to achieve uncompromised compute performance, scalable GPU resource allocation, and superior AI/ML operational excellence. This prestigious career opportunity offers competitive remuneration, high-visibility enterprise exposure, and professional growth within a leading global technology solutions and digital transformation consultancy.

Detailed Job Description:

As a Senior Engineer - HPC Operations supporting Raqmiyat on a professional basis in the UAE, you will take full operational, tactical, and technical ownership of HPC infrastructure optimization, cluster lifecycle management, automation scripting, and cross-functional engineering collaboration. Your day-to-day responsibilities include configuring, optimizing, and maintaining complex HPC environments, managing high-throughput Slurm clusters and containerized Kubernetes orchestration platforms, overseeing GPU resource management, workload scheduling, and hardware performance tuning, administering Prometheus, Grafana, and DCGM monitoring and telemetry stacks, developing robust automation scripts and infrastructure as code utilizing Python, Bash, Ansible, and Terraform, managing enterprise Linux operating systems across RHEL, CentOS, and Ubuntu, supporting advanced high-speed networking including RDMA, InfiniBand, and RoCE fabrics, configuring high-performance parallel storage systems like NFS, Lustre, and Ceph, collaborating proactively with data science teams, AI researchers, and software engineering squads, and interacting directly with recruitment leadership like Vinodhini Nagarajan.

Key Responsibilities:

• Architect, configure, optimize, and maintain complex High-Performance Computing (HPC) infrastructure and compute clusters.
• Manage and scale enterprise cluster management platforms utilizing Slurm Workload Manager and containerized Kubernetes.
• Oversee GPU resource management, job scheduling policies, hardware acceleration, and performance tuning for AI/ML workloads.
• Configure and monitor comprehensive system observability stacks utilizing Prometheus, Grafana, and NVIDIA Data Center GPU Manager (DCGM).
• Develop robust automation scripts, configuration management playbooks, and infrastructure as code utilizing Python, Bash, Ansible, and Terraform.
• Administer, secure, and tune enterprise Linux operating system distributions including RHEL, CentOS, and Ubuntu.
• Support high-speed low-latency network fabrics including Remote Direct Memory Access (RDMA), InfiniBand, and RoCE.
• Implement and manage high-performance parallel file systems and storage technologies including NFS, Lustre, and Ceph.
• Collaborate proactively with AI researchers, data scientists, and DevOps engineering squads to streamline computational workflows.
• Maintain meticulous infrastructure documentation, cluster configuration backups, and operational runbooks.

Required Qualifications & Skills:

• Bachelor's or Master's degree in Computer Science, Computer Engineering, Electrical Engineering, or a related technical discipline.
• Minimum of 5+ years of progressive professional hands-on experience in HPC Operations, Systems Engineering, or DevOps environments.
• Strong, demonstrable operational expertise in HPC infrastructure configuration, optimization, and maintenance.
• Comprehensive working knowledge and practical proficiency in cluster management platforms (Slurm Clusters, Kubernetes).
• Deep practical experience with GPU resource management, AI/ML workload scheduling, and performance tuning.
• Solid practical grasp of monitoring tools including Prometheus, Grafana, and DCGM.
• Proven hands-on proficiency in automation and scripting utilizing Python, Bash, Ansible, and Terraform.
• Extensive experience administering Linux operating systems (RHEL, CentOS, Ubuntu) and high-speed networking (RDMA, InfiniBand, RoCE).
• Familiarity with parallel storage technologies including NFS, Lustre, and Ceph.
• Mandatory legal work authorization and physical availability for professional operations in the UAE.

Nice-to-Have Skills:

• Professional vendor certifications such as Certified Kubernetes Administrator (CKA) or Red Hat Certified Engineer (RHCE).
• Prior professional working experience supporting Tier-1 supercomputing centers, AI research labs, or enterprise cloud providers.
• Hands-on familiarity with MPI (Message Passing Interface) tuning and parallel application compilation.
• Experience utilizing enterprise agile tracking and IT service desk platforms (Jira, Confluence, ServiceNow).
• Active participation in high-performance computing user groups, open-source AI initiatives, or supercomputing conferences.

Application Information:

• Recruiter: Raqmiyat Recruitment Division
• Contact Name: Vinodhini Nagarajan (Technical Recruitment Specialist)
• Email: [e-mail]
• Phone:
• Company Website: https://www.raqmiyat.com
• Salary/Rate: Market Competitive / Enterprise HPC Engineering Package
• Work Schedule: Professional Operations (UAE)
• Deadline: Open until filled (Urgent UAE Senior HPC Operations Engineer Opening)
• Notice Period: Immediate to 30 Days Preferred
• Contract Duration: Permanent / Full-Time Employment

Recruitment Pro Tip:

• When applying for this Senior Engineer - HPC Operations position with Raqmiyat in the UAE, ensure your resume explicitly highlights your Slurm/Kubernetes cluster management tenure, GPU performance tuning expertise, and InfiniBand/RDMA networking background.