Lead Software Engineer - FX

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 Commercial & Investment Bank’s Sales & Research Technology team, you will be pivotal in the creation, design, and execution of market-leading, client- and sales-facing applications for the J.P. Morgan Markets Execute platform. You will apply deep front-end expertise, modern engineering practices, and problem-solving methodologies to deliver secure, stable, and scalable solutions with significant business impact.

Job responsibilities

• Build and support client and sales-facing capabilities of the Markets Execute platform and its related suite of applications.
• Develop and evolve front-end architecture: design blueprints, component hierarchies, and scalable patterns for maintainable, modular, testable codebases across teams.
• Collaborate with Product Owner, UX, and QA to analyze client requirements; participate in estimation, planning, and architecture/design sessions.
• Use modern languages, frameworks, and agentic AI tooling to solve complex problems and accelerate delivery.
• Influence application architecture and development processes; contribute to internal frameworks and shared libraries.
• Mentor junior developers; drive delivery quality, predictability, and engineering best practices.
• Learn continuously about financial markets through colleagues, business partners, training resources, and workshops.
• Optimize web applications for performance and responsiveness; uphold secure, stable operational standards.
• Drive 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.
• Applies reactive programming and ensure operational stability across environments with robust testing and CI/CD.
   

Required qualifications, capabilities, and skills

• Bachelor's Degree in Computer Science or equivalent experience
• Formal training or certification in software engineering concepts and 5+ years of applied experience on front-end experience with JavaScript, TypeScript, ReactJS, Redux Toolkit, RxJS, and modern UI frameworks.
• Hands-on experience in system design, application development, testing, reactive programming, and operational stability.
• 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
• 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
• Proven ability to independently solve design and functionality problems with minimal oversight.
• Experience building high-performance desktop/web applications and optimizing for speed and UX.
• Strong test-driven development practice using modern source control and continuous integration.
• Experience working in fast-paced, Agile environments within financial services.
• Proficiency with AI-powered development tools to streamline workflows, improve code quality, and enhance developer efficiency.
• Excellent communication and collaboration skills across cross-functional teams.
   

Preferred qualifications, capabilities, and skills

• Nice-to-have knowledge of Java, Kubernetes, and Spring.
• Familiarity with Investment Banking, FinTech, or financial markets.