Highly Skilled Senior Quantitative Engineer

2 days ago

Rajkot, Gujarat, India beBeeQuantitative Full time ₹ 1,20,00,000 - ₹ 2,00,00,000

We are seeking a highly skilled Senior Quantitative 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 be responsible for designing, scaling, and automating compute and storage platforms that allow researchers and portfolio managers to run advanced models and experiments.

  • Main 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.

Achieving Excellence:

  • Leverage expertise in distributed file systems, Linux configuration, troubleshooting, and performance tuning to optimize system performance.
  • Maintain a deep understanding of x86/AMD platforms optimized for both transaction speed and distributed parallel processing.
  • Develop strong knowledge of AI/ML HPC offerings on cloud platforms.
  • Stay current with industry trends and best practices in HPC, cloud, and AI/ML workloads at scale.

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.

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