UI Lead Software Engineer - React / TypeScript - Digital Markets Execution Technology (DMET)

Lead and shape the UI for a real-time trading platform, delivering high-performance user experiences that drive business outcomes. As a

Lead Software Engineer (UI) at JPMorgan Chase within Digital Markets Execution Technology you will set front-end technical direction and lead hands-on delivery of a latency-sensitive, real-time user experience used directly by traders and sales. You will partner closely with business stakeholders, product specialists, designers, and control partners to build intuitive, high-signal workflows at scale. This role emphasizes engineering excellence, operational readiness, and secure, compliant delivery in a fast-paced global environment.

You will lead and shape the UI for a mission-critical front-office execution platform where performance, resiliency, and user experience directly influence business outcomes and client satisfaction. The work spans real-time data, latency-sensitive workflows, and production-grade operational readiness, with close-to-the-business stakeholders and a global engineering organization. This role offers meaningful technical leadership scope, tangible impact, and the opportunity to raise the bar on engineering excellence while operating within strong security, compliance, and control expectations.

• Lead the design and delivery of user interface capabilities across Execute, from discovery to production support
• Set front-end technical direction, including architecture, standards, performance, and testing strategy
• Partner with product, business stakeholders, and designers to translate trading workflows into intuitive UX
• Drive quality through thorough testing, troubleshooting, and performance optimization
• Build high-performance, real-time UIs with strong responsiveness and stability
• Establish and evolve scalable UI architecture, including component libraries and shared platform services
• Drive engineering excellence through code reviews, quality gates, CI/CD, observability, and operational readiness
• Ensure secure, compliant development practices aligned to firm standards
• Collaborate with backend, platform, and SRE partners to deliver end-to-end solutions
• 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

, capabilities, and skills

• Formal training or certification on software engineering concepts and advanced applied experience in building production UIs with React and TypeScript in large-scale applications
• Strong knowledge of modern front-end engineering, including state management, asynchronous data flows, and UI architecture
• Expertise in performance optimization, testing strategies, and automation in CI/CD pipelines
• Experience delivering real-time or data-intensive user experiences
• Demonstrated technical leadership in setting standards, leading designs, and mentoring teams
• Solid software engineering fundamentals, including OO/design patterns, debugging, and documentation
• Familiarity with agentic development approaches across the software development lifecycle
• Strong communication skills and ability to work effectively in global, cross-functional environments
• Ability to tackle design and functionality problems independently
• 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
• Experience in front-office trading or electronic execution domains
• Familiarity with financial market concepts and protocols
• Experience with UI component libraries, advanced data grid patterns, and visualization
• Exposure to backend-for-frontend patterns, event-driven architectures, and API design collaboration
• Experience operating UIs in regulated environments with strong auditability and controls

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