Senior Linux Engineer – Quantitative Research & HPC

Job Title : Senior Linux Engineer – Quantitative Research & HPC

Location - Bengaluru

Years of Exp - 5 to 12 / 14 Years

Level - Mid to Senior / Lead

About the Client

Our client is a

leading global investment management firm

• . Their quantitative research and trading teams rely on advanced infrastructure and high-performance computing environments to drive complex financial models, analytics, and portfolio strategies. The firm is known for its

innovation-first culture, global scale, and high standards of technical excellence .

About the Role

We are seeking a

Senior Linux Engineer

to join the 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.

Our infrastructure group builds and operates the foundational platforms that power cutting-edge quantitative research, analytics, and portfolio implementation. 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.

What You’ll Do

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.

What’s Required

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.

Why This Role Stands Out

Not just Linux admin / support

→ You’ll architect, engineer, and automate large-scale HPC platforms used for quantitative finance and advanced research.

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.

Collaborate in a fast-paced, innovation-driven environment where infrastructure is seen as a

strategic enabler , not a back-office function.