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 JPMorganChase within the Electronic Trading Technology team, 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
- Executes creative software solutions, design, development, and technical troubleshooting with ability to think beyond routine or conventional approaches to build solutions or break down technical problems
- Design, develop, and test reliable, high-quality C++ code for trading connectivity and risk controls on Unix/Linux platforms. Implement end-to-end low latency client setups, including production rollout and post-release validation.
- Automate remediation for recurring issues to improve operational stability.
- Establish and execute test strategies for latency, throughput, and resiliency.
- Lead the development of market access trading and risk management modules.
- Participate across the software development lifecycle of electronic trading services.
- Collaborate with DevOps, Business Analysts, and Operations teams.
- Integrate FPGA pipelines with C++ software for deterministic performance.
- 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.
- Adds to team culture of diversity, opportunity, inclusion, and respect
Required qualifications, capabilities, and skills
- Formal training or certification on software engineering concepts and 5+ years applied experience
- Proficiency in modern C++ on Unix, Linux with strong multithreading and object-oriented design fundamentals. Ultra Low Latency experience required
- Hands-on experience in system design, application development, testing, and operational stability in production environments.
- Scripting skills (Python, Perl, Shell) for automating development, testing, and operational tasks.
- Advanced understanding of Agile methodologies, including CI/CD, resiliency, and security. Ability to review and debug code written by others. Knowledge of low-level TCP/IP and network stack behavior.
- Comfort working closely with infrastructure and networking teams.
- 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
- Bachelor’s degree in Computer Science, Engineering, Mathematics, or related discipline.
- In-depth knowledge of the financial services industry and their IT systems
- Demonstrated experience in low latency design and development using C/C++, including DMA, exchange connectivity, and pre-trade risk systems.
- Exposure to FPGA development for financial industry applications, including embedded software and kernel driver development for FPGAs and related systems.
- Proficiency in PCIe and low-latency networking (TCP/IP sockets, L1/L3 switching) in Linux, including FPGA-based hardware acceleration and Solarflare Ethernet NIC integration with C++.
- Experience implementing and certifying exchange connectivity using FIX, SBE, and native binary protocols, with a focus on low latency order entry, as well as creating and automating test strategies for functional and non-functional requirements in production-like environments.