The company, a leader in AI-powered cloud and digital infrastructure, is seeking a highly skilled Senior Engineer – HPC Operations to oversee the daily operations and support of high-performance computing clusters designed to power large-scale AI and ML workloads. This role will ensure a stable, secure, and high-performing infrastructure leveraging technologies such as Slurm, Kubernetes, and modern MLOps platforms.
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The ideal candidate will possess deep technical expertise in HPC and a strong operational mindset to drive continuous improvement and automation across globally distributed environments. Responsibilities include collaborating with multidisciplinary teams, leading complex projects, implementing cutting-edge technologies, and providing mentorship to operations engineers.
Key Responsibilities:
- Lead the daily operational support of HPC infrastructure including compute, storage, networking, and scheduler components (Slurm, Kubernetes, etc.).
- Maximize the efficiency and performance of HPC systems, ensuring optimal resource utilization and minimal downtime.
- Act as the primary technical escalation point for L2 support teams and ensure prompt resolution of incidents and service requests.
- Monitor system health, performance, and utilization using advanced tools (e.g., Prometheus, Grafana, DCGM).
- Manage user environments for AI/ML workloads including container orchestration (e.g., Docker, Kubernetes) and workflow tools (e.g., MLflow, Kubeflow).
- Implement and manage job scheduling policies, priorities, and partitions within Slurm and/or Kubernetes environments.
- Lead root cause analysis (RCA) of operational issues and contribute to post-mortem documentation and continuous improvement efforts.
- Provide mentorship and guidance to junior engineers and participate in on-call rotation if required.
- Ensure compliance with security and operational policies; assist in audits and documentation for change and incident management processes.
Qualifications:
- Bachelor’s or Master’s degree in Computer Science, Engineering, or related technical field.
- 7+ years of experience in HPC operations, systems engineering, or DevOps roles.
- Advanced knowledge and expertise in configuring, optimizing, and maintaining complex HPC environments.
- Hands-on experience managing Slurm clusters and/or Kubernetes-based environments for AI/ML workloads.
- Expert knowledge of GPU resource management, workload schedulers, and performance tuning for AI/ML workloads.
- Experience with monitoring frameworks such as Prometheus, Grafana, and DCGM.
- Strong scripting and automation skills (Python, Bash, Ansible, Terraform).
- In-depth understanding of Linux (RHEL/CentOS/Ubuntu), networking concepts, and storage technologies.
What We Offer:
- Competitive salary based on skills and experience.
- Yearly performance-based bonus.
- Exclusive discount cards for services.
- Comprehensive health coverage, including dental, vision, and life insurance for employees and their families.
- Access to premium learning platforms for career development.
Location: Abu Dhabi, Abu Dhabi Emirate, United Arab Emirates
Work Conditions: On-site, Full-time
