Systems Engineer Aquatic · Chicago, United States an hour ago

Tradermath

Chicago (IL)

Hybrid

USD 150,000 - 300,000

Full time

14 days+

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Benefits offered by this job

Medical, dental, vision benefits
401k plan
Life & disability insurance
PTO and holidays

Job summary

Aquatic Capital Management in Chicago is seeking a Senior Systems Engineer to lead the Infrastructure team. You will own the on-premise grid, cloud compute (GCP/AWS), GPU workloads, and automation, shaping research and trading compute platforms.

You will mentor engineers, drive architectural decisions, and ensure high-performance storage and reliable data access across research and trading workloads. A strong leadership presence and deep Unix/Linux expertise are essential.

Qualifications

  • 10+ years of systems engineering, infrastructure, or related discipline.
  • Deep Unix/Linux expertise across distributions.
  • Strong experience with HPC grid systems (Slurm) in research or scientific computing.
  • Experience provisioning and managing bare-metal infrastructure and data centers.
  • Familiarity with high-performance/parallel storage systems (VAST, GPFS, Lustre).
  • Strong scripting and automation fluency (Bash, Python).
  • Ability to lead technically and communicate with stakeholders.

Responsibilities

  • Own and evolve the compute infrastructure powering quantitative research and production trading.
  • Architectural improvements for capacity, scheduling efficiency, and throughput, including GPU computation.
  • Design and maintain connectivity/automation between on-prem and cloud environments.
  • Evaluate and implement newer compute paradigms as research needs evolve.
  • Own high-performance storage systems (VAST, NFS, S3-compatible).
  • Design provisioning systems for complex compute resources and datacenter onboarding.

Skills

Unix/Linux
HPC grid systems
Slurm
Automation scripting
Technical leadership

Tools

GCP
AWS
GPFS/Lustre
VAST

Job description

Aquatic was founded with a shared passion for tackling some of the most complex challenges in one of the world’s most competitive arenas—global financial markets. From the very beginning, we have been driven by a deep commitment to applying cutting-edge scientific research and technological innovation to deliver unparalleled performance. Our journey is one of continuous growth and exploration, marked by a spirit of curiosity and relentless drive for excellence.

Aquatic Capital Management is seeking a Systems Engineer to join our team.

Systems Engineer
Infrastructure & Research Computing

Aquatic Capital Management • Chicago, IL • Full-Time

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.
  • You will own and evolve the compute infrastructure that powers quantitative research and production trading at Aquatic: our on-premise grid, hybrid cloud compute (GCP and AWS), GPU workloads, storage systems, and the automation that ties it all together.
What You Will Do
Grid & High-Performance Computing
  • 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
Storage & Performance
  • Own high-performance storage systems including VAST (NFS and S3-compatible), ensuring data access is fast and reliable across research, trading, and build workloads.
  • Investigate and resolve performance bottlenecks at the intersection of storage, network, and compute.
Developer Experience & Automation
  • 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.
Technical Leadership & Mentorship
  • Serve as the go-to architect for infrastructure decisions; provide technical direction and help establish vision across the team.
  • Pair with and mentor earlier-career Systems & Software Engineers, helping them develop sound instincts and grow their skills.
  • Diagnose and resolve the hardest, most obscure system issues that others cannot get to the bottom of.
What We Are Looking For
Required
  • 10+ years of experience in systems engineering, infrastructure, or a closely related discipline.
  • Deep Unix/Linux expertise across multiple distributions; comfortable at every layer of the stack.
  • Strong experience with HPC grid systems (SLURM preferred) in a research or scientific computing environment.
  • 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).
  • Strong scripting and automation fluency (Bash, Python, or similar); able to build tools that others rely on and to contribute to and own production codebases.
  • Ability to operate as an independent technical leader: establishing direction, building trusted relationships, and communicating clearly with stakeholders outside the team.
Strongly Preferred
  • 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.
  • Hands‑on experience building and operating cloud infrastructure on GCP (or comparable major cloud), including autoscaling compute clusters.
  • Strong networking fundamentals; able to design and troubleshoot complex network topologies including cloud interconnects.
  • Background working alongside quantitative researchers or software engineers in a trading, finance, or research‑intensive organization.
What Makes You Stand Out
  • You have an architectural mindset: you think about how systems will fail before they do, and you build for stability and operational simplicity.
  • You are energized by the intersection of systems and the people who use them. You want researchers and engineers to have great tools, not just working ones.
  • You are a patient, generous mentor. You grow the people around you.
  • You are direct, give well‑reasoned dissenting opinions when you have them, and do not let ideas roll by unchallenged when you see a better path.

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. This position may also be eligible for additional forms of compensation, such as a discretionary bonus, and benefits. Discretionary bonus can be a significant portion of total compensation. Actual compensation for successful candidates will be carefully determined based on a number of factors, including their unique skills, qualifications and relevant experience.

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

Aquatic Capital

This role represents a unique opportunity to join a quantitative investment manager in its early stage of growth. The firm’s culture will be shaped by collaboration, meritocracy, ambition, and calm determination.

Aquatic is a proud equal opportunity workplace. We do not discriminate based upon race, religion, color, national origin, sex, sexual orientation, gender identity/expression, age, status as a protected veteran, status as an individual with a disability, or any other applicable legally protected characteristics.

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