Senior Infrastructure Specialist

2 days ago


Hyderabad, Telangana, India beBeeHighPerformanceComputing Full time ₹ 1,50,00,000 - ₹ 2,50,00,000
Job Title: High Performance Computing SpecialistJob Description:

The High Performance Computing Specialist will be responsible for the operational health deployment and lifecycle of HPC technology.

This role involves designing innovative solutions utilizing projects and qualification frameworks to run and optimize complex infrastructures.

  • Perform operational health deployment and lifecycle management of HPC technology.
  • Design innovative solutions using projects and qualification frameworks to optimize complex infrastructures.
  • Act as a technical escalation point during major incidents.
  • Track suppliers and partners for efficient delivery of projects.
  • Contribute to service strategy development.

Commitment to Diversity & Inclusion:

We are committed to building an outstanding, inclusive work environment and diverse teams representative of patients and communities we serve.

Requirements:

  • Associate degree in computer science or related field, or equivalent industry experience and 6+ years IT experience, of which at least 3 in an HPC/scientific computing environment.
  • Experience designing and building infrastructure within a public cloud platform (e.g. AWS, GCP or Azure) as they relate to HPC workloads.
  • Strong knowledge of Unix systems performance tuning and DevOps tools and practices.
  • Hands-on experience with system administrative tasks in Linux environments and fluency in scripting (shell scripting in bash required, Python knowledge advantageous).
  • Ability to build software from sources including knowledge of build systems (e.g. Make, CMake...).
  • Extensive knowledge of one or more HPC scheduling mechanisms (e.g. Grid Engine, Slurm, LSF... etc.) and HPC cluster management software packages (e.g. Bright Cluster Manager / Base Command Manager, xCat, OpenHPC etc.).

Desirable Requirements:

  • Experience setting up, maintaining, and tuning infrastructure for AI/ML workloads.
  • Experience with HPC infrastructure supporting scientific/research/pharmaceutical/bioinformatics/cheminformatics environment.


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