High-Performance Computing Specialist

14 hours ago

Alwar, Rajasthan, India beBeeLinuxEngineer Full time ₹ 15,00,000 - ₹ 18,00,000
Job Summary:

We are seeking an experienced Senior Linux Engineer to lead our quantitative research and HPC specialist team. This is a critical role that requires designing, scaling, and automating large-scale high-performance computing (HPC) platforms for quantitative research and trading teams.

This role will involve designing and managing quant research platforms and HPC environments, researching and experimenting with new centralized multi-tenant clustered platforms, troubleshooting complex issues across storage, OS, and networking layers, building tools to improve performance, monitoring, and automation of HPC clusters, and driving efficiency through automation of provisioning and housekeeping.

About the Role
  • Design and Management: Design and manage quant research platforms and HPC environments
  • Research and Development: Research and experiment with new centralized multi-tenant clustered platforms
  • Troubleshooting: Troubleshoot complex issues across storage, OS, and networking layers
  • Tool Development: Build tools to improve performance, monitoring, and automation of HPC clusters
  • Process Optimization: Drive efficiency through automation of provisioning and housekeeping
Key Requirements:
  • 5+ years of engineering, deployment, and management of large-scale Linux infrastructure, ideally in financial services or HPC environments
  • Expertise in distributed file systems (Lustre, GPFS) and a variety of filesystems (ZFS, XFS, ext4)
  • Strong knowledge of Linux configuration, troubleshooting, and performance tuning
  • Familiarity with x86/AMD platforms optimized for both 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 (S3, Storage Gateway, EBS)
  • Knowledge of AI/ML HPC offerings on cloud platforms (AWS/GCP)
  • Experience with HPC job schedulers (Slurm, Condor, Airflow, SGE)
  • Hardware familiarity: HPE, Dell, Supermicro systems
  • Commitment to the highest standards of engineering and operational excellence

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