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# Lead Fullstack Software Engineer - Java, React, AWS

- **Company:** JPMorgan Chase & Co.
- **Location:** UK
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Java (Programming Language), Artificial Intelligence, Amazon Web Services, Automation of Tests, Microsoft Azure, Bootstrap (Software), Software Quality, Code Review, Systems Development Life Cycle, Svelte, Secure Coding, Software Engineering, Strategies of Testing, Web Standards, Google Cloud, Spring Cloud, ReactJS, Ios Frameworks, AI Coding Agents, Vue.js, Webpack, AngularJS, Front End Software Development, Code Restructuring
- **Published:** October 4, 2026
- **Apply:** https://www.apply4u.co.uk/jobs/lead-fullstack-software-engineer-java-react-aws/50232447

## About the Role

ensuring quality is built in by default Contribute to the evolution of the team's technology strategy, evaluating emerging tools and frameworks to bring value to the technology stack 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 Required qualifications, capabilities, and skills Proven end-to-end autonomous ownership of complex frontend deliverables involving multiple teams and stakeholders Deep,
current expertise in a modern Full- Stack technologies including Java, React, Vue, Svelte, Angular, or equivalent)- comfortable across the stack and with modular or microserices architectures Experience working with a design system (Material, Fluent, Carbon, Radix, Bootstrap, or equivalent), partnering closely with UX and product design Strong testing discipline (unit, integration, end-to-end) and familiarity with modern frontend build tooling (Vite, Turbopack, Webpack) Experience designing and deploying scalable, resilient cloud-native applications on AWS, Azure, or Google Cloud Strong problem-solving skills with the ability to manage and resolve complex technical challenges independently 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 engineering workflows, including data sensitivity considerations, secure handling of inputs/outputs, and adherence to resiliency and security expectations; ability to guide peers on safe and effective usage within team practices Preferred qualifications, capabilities, and skills Experience working within Financial Services or regulated technology environments Experience partnering with design teams, translating style guides, and implementing modern web standards Experience of engineering delivery using modern frontend SDLC frameworks, leveraging agentic practices Ability to manage the risk and controls agenda across a technology portfolio #J-18808-Ljbffr

## Description

you will lead end-to-end engineering efforts that power the core capabilities of our platform, ensuring robust performance, reliability, and continuous improvement. Job responsibilities Lead and own end-to-end frontend deliverables across the Research Platform - from discovery through to architecture, delivery, and production Architect frontend solutions in a platform-first approach, balancing the needs of our external clients, internal stakeholders, and partner teams Collaborate with product managers and cross-functional engineering teams to translate complex business requirements into technical solutions Advance our ability to deliver frontend strategically - shaping SDLC practices, delivery mechanisms, and UI frameworks that scale across the platform Mentor and guide engineers, fostering a culture of technical excellence, continuous learning, and innovation Uphold a disciplined engineering standard - strong engineering practices, testing, accessibility, and compliance awareness -