Lead C++ Low Latency Software Engineer, Equities Technologies

We have an opportunity to impact your career and provide an adventure where you can push the limits of what's possible. As a Lead Software Engineer at JPMorgan. Chase within the Commercial and Investment Bank, you are an integral part of an agile team that works to enhance, build, and deliver trusted market-leading technology products in a secure, stable, and scalable way.

As a core technical contributor, you are responsible for conducting critical technology solutions across multiple technical areas within various business functions in support of the firm’s business objectives.

Job Responsibilities

Design and implement an Option Market Making and Volatility execution platform across the trading stack Develop and optimize performance-critical C++ (C++17/20) components with low-latency focus Build low-latency, high-throughput systems handling real-time market data and order flow Design and implement trading controls and risk management safeguards within the execution platform Execute creative software solutions, system design, development, and technical troubleshooting beyond routine approaches Develop secure, high-quality production code; review, debug, and raise code quality across the team Collaborate with quantitative researchers and traders to translate strategies into resilient production systems Write robust, well-tested code for high-availability production environments; improve operational stability Drive architecture decisions and technical improvements (performance, resiliency, scalability, maintainability) Drives team adoption of enterprise-authorized AI-assisted engineering practices within the work environment to improve code quality, delivery speed, and operational outcomes (e.

g., AI-assisted code review/refactoring, test strategy acceleration, incident/root-cause analysis support), while establishing consistent validation standards (secure coding, peer review, automated testing) and promoting reuse of effective patterns across the team. Applies knowledge of tools within the Software Development Life Cycle toolchain, including enterprise-authorized AI-assisted development and automation capabilities, to improve the value realized by automation.

Required qualifications, capabilities, and skills Bachelor’s degree in Computer Science, Engineering, Mathematics, or related discipline Formal training or certification on software engineering concepts and 5+ years applied experience on software engineering and building trading systems Expert proficiency in modern C++ (C++17/20) in performance-critical production systems Strong low-latency optimization skills (memory management, data structures, Linux systems programming) Experience with TCP/UDP socket programming and real-time messaging architectures Ability to design and troubleshoot distributed systems with high-availability requirements Hands-on practical experience delivering system design, application development, testing, and operational stability; proficient across SDLC Proficient with build tools, configuration management, and continuous integration environments; advanced understanding of agile/CI/CD, resiliency, and security Demonstrated experience leading effective use of approved AI-assisted software development tools (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 engineers on safe, compliant adoption within delivery practices Preferred qualifications, capabilities, and skills Knowledge of options, derivatives pricing, Greeks, and market making strategies Experience building market data feed handlers and/or order management systems Familiarity with exchange connectivity protocols (FIX, native/binary protocols) Experience mentoring and developing engineers in a trading technology environment