Campus Systems Engineer (Full-Time)

Company: Jump Trading
Location: Chicago
Type: Full-time
Posted: Aug 19, 2026
Views: 2

✨ AI Summary

Jump Trading Group, a proprietary trading firm leveraging cutting-edge research in global financial markets, is hiring a Campus Systems Engineer (Full-Time) in Chicago. The role involves monitoring and optimizing low-latency trading infrastructure, troubleshooting system/network issues, and building automation. Tech stack: Linux/UNIX, Python, and networking concepts (routing, multicast, ethernet). Requires a degree in a technical field and a detail-oriented, collaborative mindset; salary range is $200,000-$250,000 per year with discretionary bonus and comprehensive benefits.

Jump Trading Group is committed to world class research. We empower exceptional talents in Mathematics, Physics, and Computer Science to seek scientific boundaries, push through them, and apply cutting edge research to global financial markets. Our culture is unique. Constant innovation requires fearlessness, creativity, intellectual honesty, and a relentless competitive streak. We believe in winning together and unlocking unique individual talent by incenting collaboration and mutual respect. At Jump, research outcomes drive more than superior risk adjusted returns. We design, develop, and deploy technologies that change our world, fund start-ups across industries, and partner with leading global research organizations and universities to solve problems.

Trading Infrastructure is a global organization of Engineers who architect, build and maintain our world-class infrastructure. From colo design/implementation, to optimizing our exchange connectivity, to building world class low latent Wide Area Networks, we leverage research and automation to consistently adapt and innovate our infrastructure to scale and drive our trading and evolving business.

WHAT YOU’LL DO:

The Systems Engineer will work with traders, operations, exchanges, and developers to optimize the trading environment and investigate and solve system issues.

  • Proactively monitor the overall health and performance of the trading platform
  • Work closely with our world-class technology organization to:
    • Analyze and troubleshoot complex system, software, and networking infrastructure issues
    • Design, implement and optimize network infrastructure for proprietary low latency trading applications at various data centers throughout the world
  • Build automation to manage and improve the production trading environment
  • Work closely with risk management and trading teams to coordinate changes and manage incidents
  • Manage and assess operational risk of change control into the production environment
  • Define and document process and procedure
  • Other duties as assigned or needed

SKILLS YOU’LL NEED:

  • Major in Computer Science/Engineering, Information Systems, or related technical field
  • Experience working with Linux/UNIX OS including advanced commands and shell scripts
  • Practical working knowledge of python
  • Understanding of networking concepts such as routing, multicast, ethernet
  • A rigorous, detail-oriented approach to operations
  • Ability to operate and communicate clearly under pressure
  • Desire to work in a collaborative, team environment with a positive can do attitude
  • Reliable and predictable availability

The estimated base salary for this role is $200,000-$250,000 per year.

Benefits

- Discretionary bonus eligibility
- Medical, dental, and vision insurance
- HSA, FSA, and Dependent Care options
- Employer Paid Group Term Life and AD&D Insurance
- Voluntary Life & AD&D insurance
- Paid vacation plus paid holidays
- Retirement plan with employer match
- Paid parental leave
- Wellness Programs

About the Company

Name: Jump Trading
Location: Chicago

Jump Trading is a global trading firm where smart people build remarkable things. We’ve spent over two decades developing the research, infrastructure, and culture necessary to create a home for people who believe trading is the most interesting problem in the world and want to solve it from every angle. We’re traders, builders, engineers, and researchers obsessed with improving the models, tools, and systems that power everything we do. From raw silicon through order execution, we tackle problems few ever get to see. We don’t chase what’s working. We build what works next. Every trading strategy is grounded in research, stress-tested in real markets, and engineered to scale. We build where infrastructure meets intelligence. Our ML stack powers live inference and fast iteration, delivering seamless edge when it matters most. We build teams with purpose, keep the bar high, and the focus sharp. Cross-disciplinary teams work from first principles to develop models, strategies, and systems that stand up to real-world conditions.

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