As a FCM Tech Lead, you’ll be a hands-on technical anchor across the entire FCM lifecycle: market data, order entry and routing, settlement and money movement, back-office reporting, and our in-house risk and liquidation system. You’ll help lead a major replatforming onto next-gen architecture and reduce legacy vendor dependencies, a rare chance to re-architect a regulated trading platform from the inside, with the ownership of a startup and the reach .

What you’ll do:

• Own design and architecture across the FCM core, from market data and order routing through settlement, reporting, and risk.
• Drive the next-gen replatforming effort, reducing legacy vendor dependencies while raising stability and reliability.
• Set the technical bar through code, design reviews, and standards, and pay down the technical debt that matters most.
• Partner across pods (execution, risk, lifecycle) and cross-functionally with Product, CFM Risk and Ops, Finance, and Compliance to deliver correct, auditable systems and turn strategy into a roadmap.
• Mentor engineers across the team and act as a force multiplier, scaling engineering quality and helping others grow.

Required Skills and Experience:

• Extensive backend engineering experience, with demonstrated ownership of complex, production-grade distributed systems.
• Direct FCM or derivatives experience, with hands-on ownership of one or more parts of the futures trade lifecycle (settlement, clearing, margin/risk, order entry/routing, market data, or back-office books and records).
• Deep proficiency in a modern backend language (Go preferred; Java or similar) and event-driven, high-availability architectures; familiarity with Ion XTP is a plus.
• Experience in a regulated or financial environment (CFTC/NFA or comparable) where correctness, auditability, and reliability are critical.
• Track record delivering end-to-end, from scoping and architecture through implementation, monitoring, and iteration, including replatforming or migrating off legacy systems while still coding hands-on and raising the quality bar.
• Utilizes generative AI responsibly, maintaining human oversight to deliver business-ready outputs and drive measurable improvements in workflow efficiency, cost, and quality.

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