HPC System Engineer

3 - 8 years

15 - 25 Lacs

Posted:6 days ago| Platform: Naukri logo

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Work Mode

Remote

Job Type

Full Time

Job Description

  • Role & responsibilities

Overview:

We are seeking a skilled and motivated HPC Systems Engineer with a strong background in supporting Microsoft HPC Pack environments. This role is ideal for candidates with at least 3 years of hands-on experience managing and optimizing HPC workloads in enterprise settings. Additional experience with Azure HPC, Kubernetes, and DevOps practices is desirable and will be considered a strong plus.

Key Responsibilities:

  • Administer, support, and troubleshoot Microsoft HPC Pack clusters in production environments.
  • Collaborate with engineering and research teams to optimize HPC workloads and job scheduling.
  • Monitor system performance, conduct capacity planning, and implement improvements.
  • Maintain and update HPC infrastructure documentation and operational procedures.
  • Work closely with cloud engineering teams to explore and potentially integrate Kubernetes or Azure HPC solutions.

Required Qualifications:

  • Minimum 3 years of experience supporting Microsoft HPC Pack in enterprise or research environments.
  • Experience with job schedulers, compute nodes, and HPC workload management.
  • Strong understanding of Windows Server, and networking fundamentals.
  • Familiarity with scripting languages (PowerShell, Python, etc.) for automation.

Desired Qualifications:

  • Experience with Azure HPC services and cloud-based HPC architecture.
  • Exposure to Kubernetes and container orchestration in HPC or DevOps contexts.
  • Understanding of CI/CD pipelines and infrastructure-as-code tools (e.g., Terraform, Ansible).
  • Experience in performance tuning and benchmarking HPC applications.

Soft Skills:

  • Strong problem-solving and analytical skills.
  • Excellent communication and collaboration abilities.
  • Ability to work independently and in cross-functional teams.

Why Join Us?

  • Work on cutting-edge HPC technologies in a dynamic and innovative environment.
  • Opportunity to transition workloads from HPC Pack to container platforms
  • Competitive compensation.

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