Software Engineer III (UI) - Digital Markets Execution Technology (DMET), Execute
JPMorgan Chase
- Location
- LONDON, United Kingdom
- Work model
- On-Site
- Level
- Mid
- H-1B history
- 1,524 approvals (FY2023)
- Posted
- 9h ago
Skills
About this role
As a Software Engineer III at JPMorganChase, you serve as a seasoned member of an agile team to design and deliver trusted market-leading technology products in a secure, stable, and scalable way. You are responsible for carrying out critical technology solutions across multiple technical areas within various business functions in support of the firm’s business objectives. In DMET, you will help build and evolve Execute, a real-time, latency-sensitive front-office trading UI used across global markets. You will deliver complex React and TypeScript web applications in close partnership with product, UX, QA, and back-end teams across a global organization. Your success will be measured by resiliency, usability, and speed of delivery in a highly operational, business-critical environment.
Job Responsibilities
Executes software solutions, design, development, and technical troubleshooting with ability to think beyond routine or conventional approaches to build solutions or breakdown technical problems Creates secure and high-quality production code and maintains algorithms that run synchronously with appropriate systems Leverages enterprise-authorized AI coding assist tools within the work environment to improve code quality, delivery speed, and productivity across complex deliverables (e.g., code generation/refactoring, unit test creation, documentation), while validating outputs through peer review, automated testing, and secure coding standards; contributes learnings and reusable patterns to improve broader team effectiveness 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 Produces architecture and design artifacts for complex applications while being accountable for ensuring design constraints are met by software code development Gathers, analyzes, synthesizes, and develops visualizations and reporting from large, diverse data sets in service of continuous improvement of software applications and systems Proactively identifies hidden problems and patterns in data and uses these insights to drive improvements to coding hygiene and system architecture Build and evolve real-time React and TypeScript UI features for Execute, supporting complex, high-throughput trading workflows. Contribute to UI architecture and design for latency- and availability-sensitive experiences, balancing performance, security, resiliency, and usability. Integrate UI capabilities with APIs and real-time data services, collaborating with back-end, platform, and SRE partners to deliver end-to-end solutions. Apply strong engineering hygiene through peer code reviews, automated testing, and disciplined release practices. Diagnose and resolve production issues using structured troubleshooting, logging, metrics, and alerting; contribute to incident learnings and preventative improvements. Improve front-end performance and reliability through profiling, optimization, and proactive bottleneck identification. Collaborate effectively across globally distributed teams, contributing to shared standards and reusable components to increase consistency and delivery speed.
Qualifications
Formal training or certification on software engineering concepts and 3+ years applied experience Hands-on practical experience in system design, application development, testing, and operational stability Experience in developing, debugging, and maintaining code in a large corporate environment with one or more modern programming languages and database querying languages Hands-on experience using enterprise-authorized AI-assisted software development tools within the work environment (e.g., for coding, test creation, troubleshooting, or documentation) with demonstrated ability to critically evaluate, validate, and refine AI-generated outputs for correctness, performance, and security Understanding of responsible AI use in