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UI Senior Lead Software Engineer - Commodities

JPMorgan· LONDON, United KingdomLicensed sponsor
Posted 30 Jun 2026 · Added 30 Jun 2026, 08:24
JPMorgan3.9 (20,400)10,000+ employees

Headquartered in New York City, JPMorgan Chase is the largest bank in the United States.

Levels.fyi · global compSWE $164k TC ($122k–$205k)
AI summary

Build real-time trading UIs with React and TypeScript for JPMorgan’s Execute platform, used by traders and sales. You will set front-end technical direction, lead hands-on delivery, and directly manage a small team of mid-level engineers.

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Join Digital Markets Execution Technology (DMET) to shape the future of Execute, our front-office trading platform powering Markets businesses. As a Lead Software Engineer (UI), 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. You will also directly lead a small team of mid-level engineers, fostering their growth and maintaining a high-performing, inclusive team culture. This role emphasizes engineering excellence, operational readiness, and secure, compliant delivery in a fast-paced global environment.

Job Responsibilities

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

Directly manage and mentor a small team of mid-level engineers, providing technical guidance, career development support, and day-to-day coaching to cultivate an inclusive, high-performing team culture

Collaborate with backend, platform, and SRE partners to deliver end-to-end solutions

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

Apply 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 / Skills

Hands-on experience 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 directly managing or mentoring small teams of mid-level engineers

Solid software engineering fundamentals, including OO/design patterns, debugging, and documentation

Familiarity with agentic development approaches across the software development lifecycle

Strong communication and people skills, with the ability to work effectively in global, cross-functional environments while supporting the day-to-day development and growth of direct reports

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 / 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