Quantitative Research Infrastructure Engineer

13 hours ago

Davangere, Karnataka, India beBeelinux Full time ₹ 15,00,000 - ₹ 20,00,000

Job Summary

We are seeking a highly skilled Senior Linux Engineer 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.

You will design, scale, and automate compute and storage platforms that allow researchers and portfolio managers to run advanced models and experiments. Our infrastructure group builds and operates the foundational platforms that power cutting-edge quantitative research, analytics, and portfolio implementation.

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.
Benefits
  • A challenging and rewarding role that allows you to work on mission-critical systems enabling portfolio managers and researchers to test and run complex models.
  • Exposure to cutting-edge HPC, cloud, and AI/ML workloads at scale.
  • The opportunity to 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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