Senior High Performance Computing Specialist

14 hours ago

Gulbarga, Karnataka, India beBeeEngineer Full time ₹ 12,00,000 - ₹ 21,00,000

High-Performance Computing Engineer

Our technology infrastructure team seeks a highly skilled High-Performance Computing (HPC) engineer to join our global organization.

This is not a traditional admin or support role. You will be a core enabler of cutting-edge quantitative research and HPC within a large-scale financial environment.

Our infrastructure group builds and operates the foundational platforms that power advanced analytics, portfolio implementation, and AI/ML workloads. You will design, scale, and automate compute and storage platforms for researchers and portfolio managers to run complex models and experiments.

  • Design and manage quant research platforms and HPC environments.
  • Research and experiment with new centralized multi-tenant clustered platforms.
  • Troubleshoot complex issues across storage, OS, and networking layers.
  • Build tools to improve performance, monitoring, and automation of HPC clusters.
  • Drive efficiency through automation of provisioning and housekeeping.

Key Skills and Qualifications:

  • 5+ years of experience in engineering, deployment, and management of large-scale Linux infrastructure, ideally in financial services or HPC environments.
  • Expertise in distributed file systems and various filesystems.
  • Strong knowledge of Linux configuration, troubleshooting, and performance tuning.
  • Familiarity with x86/AMD platforms optimized for transaction speed and distributed parallel processing.
  • Networking knowledge: 10GE/25GE, InfiniBand, RoCE, RDMA.
  • Experience with Linux software RAID, hardware RAID, erasure encoding.
  • Infrastructure automation skills: Terraform, Ansible, Puppet, Chef.
  • Scripting: Python and Shell.
  • Protocol knowledge: NFS (v4.1), CIFS, SMB, ACLs.
  • Hybrid and cloud-native HPC deployment experience (AWS preferred).
  • Familiarity with AWS storage services.
  • Knowledge of AI/ML HPC offerings on cloud platforms.
  • Experience with HPC job schedulers.
  • Hardware familiarity: HPE, Dell, Supermicro systems.
  • Commitment to the highest standards of engineering and operational excellence.

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