High-Performance Computing Architect

1 day ago

Amrāvati, Maharashtra, India beBeeLinux Full time ₹ 1,50,00,000 - ₹ 2,00,00,000

Job Title: Senior Linux Engineer – Quantitative Research

About the Role:

We are seeking an experienced system architect to join our global technology infrastructure team. This role is not limited to traditional admin or support tasks – instead, you will be a key contributor to the design, engineering, and automation of large-scale HPC platforms used for quantitative finance and advanced research.

The ideal candidate will have expertise in designing, scaling, and automating compute and storage platforms that enable researchers and portfolio managers to run complex models and experiments. You will collaborate with cross-functional teams to drive efficiency through automation of provisioning and housekeeping.

  • 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

Requirements:

  • 5+ years of experience in engineering, deployment, and management of large-scale (250+ servers) Linux infrastructure, ideally in financial services or HPC environments.
  • Expertise in distributed file systems (Lustre, GPFS) and various filesystems (ZFS, XFS, ext4).
  • Strong knowledge of Linux (RHEL/CentOS/Ubuntu) configuration, troubleshooting, and performance tuning.
  • Familiarity with x86/AMD platforms optimized for both transaction speed and distributed parallel processing.

About the Infrastructure Group:

  • We build and operate foundational platforms that power cutting-edge quantitative research, analytics, and portfolio implementation.
  • You will work on mission-critical systems enabling portfolio managers and researchers to test and run complex models.
  • 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.

Key Responsibilities:

  • Infrastructure Automation: Terraform, Ansible, Puppet, Chef
  • Scripting Languages: Python and Shell
  • Network Knowledge: 10GE/25GE, InfiniBand, RoCE, RDMA
  • Storage Expertise: Linux software RAID, hardware RAID, erasure encoding
  • HPC Job Schedulers: Slurm, Condor, Airflow, SGE
  • Cloud Experience: AWS preferred, Hybrid and cloud-native HPC deployment
  • AWS Storage Services: S3, Storage Gateway, EBS
  • AI/ML HPC Offerings: AWS/GCP

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