High-Performance Computing Systems Engineer

12 hours ago


Bengaluru, Karnataka, India beBeeSeniorLinuxEngineer Full time ₹ 1,80,00,000 - ₹ 2,40,00,000

Job Overview:

We are seeking a Senior Linux Engineer to enable quantitative research and high-performance computing (HPC) within our large-scale financial research environment.

This is not a traditional admin or support role – instead, you will be a core enabler of cutting-edge quantitative research, analytics, and portfolio implementation.

You will design, scale, and automate compute and storage platforms that allow researchers and portfolio managers to run advanced models and experiments.

  • About the Role:
  • You will be responsible for designing and managing 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 (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.

  • 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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