Overview
On Site
Full Time
Skills
High Performance Computing
Data Storage
Operating Systems
SAN
Collaboration
GPU
Trading
Research
Scripting
Python
Perl
Shell
Job Scheduling
Distributed File System
NFS
Weka
IBM GPFS
Cloud Computing
Google Cloud
Google Cloud Platform
Amazon Web Services
Management
HPC
Ansible
Terraform
Computer Networking
TCP/IP
Ethernet
Linux
File Systems
CPU
Scheduling
Job Details
Responsibilities:
Qualifications:
- Architect and maintain high-performance computing (HPC) and storage systems across both on-premises environments and cloud-based clusters (Google Cloud Platform)
- Diagnose and resolve issues related to operating systems, storage, networking, and other infrastructure components in close collaboration with cross-functional teams
- Oversee and optimize a range of compute resources, including both CPU and GPU workloads
- Partner directly with trading teams to deliver a robust, fully integrated research platform that supports advanced quantitative strategies
Qualifications:
- Proficient in scripting and automation using Python, Perl, or Shell
- Hands-on experience with job scheduling systems such as HTCondor, Slurm, or Ray
- Familiarity with distributed file systems like NFS, Weka, or GPFS
- Practical experience working with cloud platforms, particularly Google Cloud Platform or AWS
- Solid understanding of designing and managing large-scale HPC clusters
- Skilled in using Infrastructure as Code tools, including Ansible and Terraform
- Experience implementing and maintaining monitoring solutions such as Prometheus
- Strong grasp of networking principles, including TCP/IP and Ethernet protocols
- Knowledge of Linux internals, including virtual memory, file systems, and CPU scheduling
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.