Aquatic Capital Management
Systems Engineer
Chicago · Senior · Full-time
Sponsorship not specifiedDetected 75 days ago
PythonC++BashGitAWSGCPCloud PlatformsCI/CDGitHub ActionsLinuxMachine LearningSparkSystems EngineeringResearchLeadershipCollaborationMentoring
About the role
- We are hiring a Systems Engineer to join our Infrastructure team.
- This is a senior individual contributor role with significant architectural ownership, and real accountability for how our research and trading systems compute.
Responsibilities
- Own and evolve Aquatic's Slurm and Ray cluster infrastructure across on-prem and GCP - supporting research and trading workloads including fitting, tuning, backtesting, feature computation, and market data processing.
- Drive architectural improvements to capacity, scheduling efficiency, and throughput across the full footprint, including GPU computation.
- Design and maintain the connectivity and automation between on-prem and cloud environments
- Evaluate and implement newer compute paradigms as research needs evolve
- Own high-performance storage systems including VAST (NFS and S3-compatible), ensuring data access is fast and reliable across research, trading, and build workloads.
- Design and maintain provisioning systems for complex compute resources and datacenter onboarding.
- Own and improve CI/CD infrastructure (GitHub Actions) as well as the development toolchain for the broader engineering organization.
Requirements
- 10+ years of experience in systems engineering, infrastructure, or a closely related discipline.
- Deep Unix/Linux expertise across multiple distributions
- Experience provisioning and managing bare-metal infrastructure and data centers, not just cloud-native environments.
- Familiarity with high-performance / parallel storage systems (VAST, GPFS, Lustre, or similar).
Nice to have
- Experience with distributed compute frameworks such as Ray, Dask, or Spark in a research context.
- Low-level systems programming on Linux using C/C++, with a focus on performance and reliability.
- Experience with GPU computation and instrumenting GPU utilization for ML/research workloads.
- Strong networking fundamentals
- Background working alongside quantitative researchers or software engineers in a trading, finance, or research-intensive organization.
- Strong experience with HPC grid systems (SLURM preferred) in a research or scientific computing environment.
Skills
- our on-premise grid, hybrid cloud compute (GCP and AWS), GPU workloads, storage systems, and the automation that ties it all together.
Compensation
- The base salary for this role is anticipated to be between $150,000 and $300,000, which is based on information at the time of posting.
Benefits
- Benefits: For full-time employees, fully paid medical, dental, and vision for employees and dependents, competitive 401k plan, employer-paid life & disability insurance
- Perks: Wellness programs, casual dress, snacks, lunch, game room, team and company events
- Development: Open environment to maximize learning and knowledge sharing
- Time: Generous PTO, paid holidays, competitive paid caregiver leaves
- provide technical direction and help establish vision across the team.
Company info
- We are hiring a Systems Engineer to join our Infrastructure team. This is a senior individual contributor role with significant architectural ownership, and real accountability for how our research and trading systems compute.
Equal opportunity
- equal opportunity workplace.
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This listing is sourced directly from Aquatic Capital Management's careers page and normalized into a canonical job model.