Job Description

Responsibilities:

• Architect and maintain high-performance computing (HPC) and storage systems across both on-premises environments and cloud-based clusters (GCP)
• 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 GCP 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

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