High Performance Computing Expert

4 days ago

Kolkata, West Bengal, India beBeeLinuxEngineer Full time ₹ 1,50,00,000 - ₹ 2,00,00,000

**Job Title: Senior Linux Engineer – Quantitative Research & HPC**

Our client is a leading global investment management firm. Their quantitative research and trading teams rely on advanced infrastructure and high-performance computing environments to drive complex financial models, analytics, and portfolio strategies.

We are seeking a Senior Linux Engineer to join the global technology infrastructure team. This role is not just about administration or support – it's about architecting, engineering, and automating large-scale HPC platforms used for quantitative finance and advanced research.

You will be responsible for designing, scaling, and automating compute and storage platforms that allow researchers and portfolio managers to run advanced models and experiments. You'll work on mission-critical systems enabling portfolio managers and researchers to test and run complex models.

**Key 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 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 a variety of 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.
  • 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.

This role offers a unique opportunity to work on cutting-edge HPC, cloud, and AI/ML workloads at scale. As a core enabler of quantitative research and HPC, you'll 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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