Systems Engineer (Fintech)

TL;DR

Systems Engineer (HPC/Infrastructure): Designing and evolving high‑performance compute infrastructure for quantitative research and production trading with an accent on Slurm, Ray, and hybrid cloud integration. Focus on optimizing GPU workloads, managing high‑performance storage systems, and scaling bare‑metal and cloud‑native environments.

Location: Chicago, IL

Salary: $150,000 – $300,000 base

Company

A quantitative investment manager applying scientific research and technological innovation to deliver performance in global financial markets.

What you will do

• Own and evolve Slurm and Ray cluster infrastructure across on-prem and GCP for research and trading workloads.
• Drive architectural improvements to capacity, scheduling efficiency, and throughput, including GPU computation.
• Manage high-performance storage systems (VAST) and resolve performance bottlenecks across storage, network, and compute.
• Design and maintain provisioning systems for complex compute resources and improve CI/CD infrastructure via GitHub Actions.
• Serve as the lead architect for infrastructure decisions and provide technical mentorship to junior engineers.
• Diagnose and resolve complex, low-level system issues.

Requirements

• 10+ years of experience in systems engineering or infrastructure.
• Deep Unix/Linux expertise across multiple distributions.
• Strong experience with HPC grid systems (SLURM preferred) in research or scientific environments.
• Experience provisioning and managing bare-metal infrastructure and data centers.
• Familiarity with high-performance parallel storage systems (VAST, GPFS, Lustre, or similar).
• Strong scripting and automation fluency in Bash and Python.

Nice to have

• Experience with distributed compute frameworks such as Ray, Dask, or Spark.
• Low-level systems programming on Linux using C/C++ for performance and reliability.
• Experience with GPU computation and instrumenting utilization for ML/research workloads.
• Hands-on experience building and operating autoscaling compute clusters on GCP.
• Strong networking fundamentals and experience with complex network topologies.

Culture & Benefits

• Comprehensive healthcare: fully paid medical, dental, and vision for employees and dependents.
• Financial security: competitive 401k plan and employer-paid life and disability insurance.
• Work environment: casual dress, snacks, lunch, game room, and regular team events.
• Time off: generous PTO, paid holidays, and competitive caregiver leaves.
• Professional growth: open environment designed to maximize learning and knowledge sharing.