Selby Jennings
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Base pay range
$150,000.00/yr - $265,000.00/yr Direct message the job poster from Selby Jennings Financial Services Recruitment Consultant- Infrastructure Technology
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 Seniority level
Mid-Senior level Employment type
Full-time Job function
Engineering, Finance, and Information Technology Industries
Data Infrastructure and Analytics
#J-18808-Ljbffr
$150,000.00/yr - $265,000.00/yr Direct message the job poster from Selby Jennings Financial Services Recruitment Consultant- Infrastructure Technology
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 Seniority level
Mid-Senior level Employment type
Full-time Job function
Engineering, Finance, and Information Technology Industries
Data Infrastructure and Analytics
#J-18808-Ljbffr