Advanced Research Infrastructure Specialist

24 hours ago


Gandhinagar, Gujarat, India beBeeHighPerformanceEngineer Full time US$ 1,80,000 - US$ 2,10,000

Job Description:

We are seeking an experienced professional to lead the design, scaling and automation of compute and storage platforms for quantitative research and high-performance computing.

This is a unique opportunity to architect and engineer large-scale HPC platforms used for advanced research in finance. You will work closely with cross-functional teams to build cutting-edge infrastructure that enables portfolio managers and researchers to test and run complex models.

Responsibilities:

  • 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.

Requirements:

  • 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 (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.

Why This Role Stands Out:

  • Not just Linux admin/support – you'll architect, engineer and automate large-scale HPC platforms used for quantitative finance and advanced research.
  • Work on mission-critical systems enabling portfolio managers and researchers to test and run complex models.
  • Exposure to cutting-edge HPC, cloud and AI/ML workloads at scale.
  • Collaborate in a fast-paced innovation-driven environment where infrastructure is seen as a strategic enabler, not a back-office function.


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