High Performance Computing Engineer

14 hours ago

Surat, Gujarat, India beBeeLinux Full time ₹ 20,00,000 - ₹ 30,00,000
Job Overview

We are seeking a Senior Linux Engineer to join our team and lead the design, scaling, and automation of compute and storage platforms.

  • The ideal candidate will have 5+ years of experience in engineering, deployment, and management of large-scale Linux infrastructure, with expertise in distributed file systems and strong knowledge of Linux configuration and performance tuning.

Key Responsibilities

As a Senior Linux Engineer, you will be responsible for designing, building, and managing high-performance computing environments that enable researchers to run advanced models and experiments.

  • 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

To succeed in this role, you should have:

  • 5+ years of experience in engineering, deployment, and management of large-scale (250+ servers) Linux infrastructure.
  • 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 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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