Senior Lead Software Engineer C++ Developer

The Futures & Options Execution Technology team sits within Equities Technology and runs the end-to-end trading technology stack supporting high-touch low-touch and no-touch execution for the #1 ranked addition to our core franchise we deliver critical trading capabilities across other JPMorganChase lines of business.

We are in the midst of a significant multi-year investment and modernization program to build new best-in-class internally developed platforms replacing a mix of legacy in-house and vendor technologies.

The F&O Exchange Connectivity team sits within F&O Execution Technology. It is a globally distributed team running proprietary and vendor venue gateways and supporting systems around the world.

As a Senior Lead Software Engineer in the F&O Exchange Connectivity team you will work on our proprietary software for venue connectivity order management market data and related systems for Futures & Options markets around the globe.

Job responsibilities

• Drive significant business impact through your capabilities and contributions.
• Apply deep technical expertise and problem-solving methodologies to tackle a diverse array of challenges spanning multiple technologies and applications.
• Use AI-first engineering practices to accelerate C development improve specification quality increase test coverage and reduce manual development friction while preserving human control and accountability.
• Develop deploy and maintain software that is secure supportable stable reliable resilient scalable predictable and performant (latency and throughput).
• Work closely with our DevOps and Production Management teams who provide L1/L2 support.
• Review and debug code written by others.
• Drives adoption and governance of approved AI-assisted engineering practices across teams to improve code quality delivery speed and operational outcomes (e.g. AI-assisted code review/refactoring test acceleration release readiness incident/root-cause analysis) while establishing measurable validation standards (secure coding peer review automated testing) and promoting reuse of proven patterns and automation within the SDLC/TLM toolchain.
• Applies knowledge of tools within the Software Development Life Cycle toolchain including approved AI-assisted development and automation capabilities to improve the value realized by automation at scale.
• Provide technical guidance and direction to support the F&O business and all F&O technology teams.
• Drive decisions that influence product design application functionality and technical operations and processes.

• Serve as a function-wide subject matter expert in your areas of focus.

Required qualifications capabilities and skills

• A demonstrable enthusiasm for using AI to accelerate C development.
• Hands-on practical experience of the C software lifecycle including system design development automated testing (unit system integration replay) deployment debugging and maintenance.
• Advanced knowledge of software applications and technical processes with considerable in-depth knowledge in one or more technical disciplines (e.g. cloud artificial intelligence machine learning mobile etc.)
• Ability to tackle design and functionality problems independently with little to no oversight.
• Knowledge of modern C and C performance optimization.
• Knowledge of modern CPU architecture sockets and networking.
• Working knowledge of electronic trading order management or market data flow including recovery and the financial instruments of any asset class.
• Demonstrated experience leading effective use of enterprise-authorized AI-assisted software development tools within the work environment (e.g. for coding code review test acceleration troubleshooting) with the ability to set team expectations for validating AI outputs for correctness performance and security
• Strong understanding of responsible AI use in engineering workflows including data sensitivity considerations secure handling of inputs/outputs and adherence to resiliency and security expectations; experience coaching senior engineers/leads on compliant usage patterns and controls.
• Ability to work to the quality expectations and SDLC requirements of a major investment bank.

• Bachelors degree or equivalent experience in Computer Science Computer Engineering Mathematics or a related technical field.

Preferred qualifications capabilities and skills

• Demonstrable experience with spec-driven development leveraging AI agents
• Strong C20 proficiency including templates and template metaprogramming
• Proven low-latency systems experience (on the order of 1µs from message receive to send)
• Deep knowledge of modern x86 architecture (CPU micro-architecture caches memory hierarchy NUMA)
• Expert understanding of market connectivity/protocols: FIX exchange OMS/market-data protocols sockets TCP/IP UDP and kernel-bypass NIC APIs (e.g. efvi)
• Expertise designing and testing complex networked software systems including custom network protocols and corresponding test strategies
• Strong domain knowledge in electronic trading (algos/SOR/internalization) derivatives (futures/options) and Linux performance internals (kernel behavior CPU isolation core pinning) with a continuous-improvement mindset