Linux Architect for Advanced Research

2 days ago

Bareilly, Uttar Pradesh, India beBeeLinuxEngineer Full time ₹ 1,50,00,000 - ₹ 2,00,00,000

Job Title: Senior Linux Engineer – Quantitative Research

We are seeking a senior technical professional to join our global technology infrastructure team. This is not a traditional admin or support role — instead, you will be a core enabler of quantitative research and high-performance computing (HPC) within a large-scale financial research environment.

Our infrastructure group builds and operates the foundational platforms that power cutting-edge quantitative research, analytics, and portfolio implementation. 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.

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.

Why This Role Stands Out:

  • You'll architect, engineer, and automate large-scale HPC platforms used for quantitative finance and advanced research.
  • You'll work on mission-critical systems enabling portfolio managers and researchers to test and run complex models.
  • 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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