DevOps/High Performance Trading System Engineer

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

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.

Jump is looking to add a dynamic software engineer to one of our growing quantitative trading teams. The individual in this role will work hand in hand with traders and technologists to take ownership of trading issues, operational issues, and the deployment process for the team's production trading, with a focus on making the processes scalable and fault tolerant. This will involve writing and maintaining a complex python infrastructure, as well as ensuring that the production servers are properly configured, and that various sources of information for production processes are kept up to date. The ideal candidate will be passionate about development, keen to learn about automated electronic trading and able to solve difficult technical problems in a fast-paced and energetic environment. In this role, a candidate can expect exposure to a wide range of interesting and challenging problems.

The trading team sees technology as a key component of their continued success and candidates will be exposed to cool cutting edge technologies.

What you'll do:

  • Ensuring production servers are properly configured
  • Writing and maintaining a complex python infrastructure
  • Other duties as assigned or needed

Skills You’ll Need:

  • Strong knowledge of Python and Linux. Some experience with C++/SQL preferable
  • Strong debugging skills in both code development and systems infrastructure
  • Good instincts for performance vs simplicity trade-offs
  • Ability to make the right engineering decisions to achieve maintainability, extensibility and debuggability
  • Self-directed, excited to take ownership of projects and be responsible for mission-critical systems
  • You will be able to manage your own priorities and have the context-switching capacity required to work on several projects at once
  • Reliable and predictable availability

Benefits include:

  • Private Medical, Vision and Dental Insurance
  • Travel Medical Insurance
  • Group Pension Scheme
  • Group Life Assurance and Income Protection Schemes
  • Paid Parental Leave
  • Parking and Commuter Benefits

If you are currently a student or recent graduate, please see our Campus postings which offer both intern and full-time opportunities.

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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