Linux Infrastructure Expert

18 hours ago

Shimoga, Karnataka, India beBeeLinuxEngineer Full time ₹ 2,00,00,000 - ₹ 3,00,00,000

A Senior Linux Engineer with expertise in designing and managing large-scale Linux infrastructure is required for a leading global investment management firm.

The successful candidate will join the global technology infrastructure team and play a crucial role in enabling quantitative research and high-performance computing within a large-scale financial research environment.

The firm's infrastructure group builds and operates foundational platforms that power cutting-edge quantitative research, analytics, and portfolio implementation. As a key member of this team, you will design, scale, and automate compute and storage platforms to 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:

  1. 5+ years of engineering, deployment, and management of large-scale (250+ servers) Linux infrastructure, ideally in financial services or HPC environments.
  2. Expertise in distributed file systems (Lustre, GPFS) and a variety of filesystems (ZFS, XFS, ext4).
  3. Strong knowledge of Linux (RHEL/CentOS/Ubuntu) configuration, troubleshooting, and performance tuning.
  4. Familiarity with x86/AMD platforms optimized for both transaction speed and distributed parallel processing.
  5. Networking knowledge: 10GE/25GE, InfiniBand, RoCE, RDMA.
  6. Experience with Linux software RAID, hardware RAID, erasure encoding.
  7. Infrastructure automation skills: Terraform, Ansible, Puppet, Chef.
  8. Scripting: Python and Shell.
  9. Protocol knowledge: NFS (v4.1), CIFS, SMB, ACLs.
  10. Hybrid and cloud-native HPC deployment experience (AWS preferred).
  11. Familiarity with AWS storage services (S3, Storage Gateway, EBS).
  12. Knowledge of AI/ML HPC offerings on cloud platforms (AWS/GCP).
  13. Experience with HPC job schedulers (Slurm, Condor, Airflow, SGE).
  14. Hardware familiarity: HPE, Dell, Supermicro systems.
  15. Commitment to the highest standards of engineering and operational excellence.

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