Lead Fullstack Software Engineer - Java, React, AWS

JPMorgan Chase & Co.; Glasgow; On-site; GBP 90,000 - 130,000; Full time

Job summary

Join JPMorgan Chase & Co. in the Markets Technology division as a Lead Full-stack Software Engineer within the Corporate & Investment Bank Research Technology team.

You will lead end-to-end frontend efforts, shaping the Research Platform with a platform-first approach and collaborating with product and engineering teams to deliver robust, scalable solutions. You will mentor engineers, promote rigorous testing, accessibility, and secure coding, and help drive the engineering strategy across the

Qualifications

• Proven ownership of complex frontend deliverables across multiple teams.
• Expertise in modern full-stack tech including Java and frontend frameworks.
• Experience with design systems and collaboration with UX/product design.
• Strong testing discipline and modern frontend tooling.
• Experience deploying scalable cloud-native apps on AWS/Azure/GCP.
• Hands-on with AI-assisted development tools and evaluating AI outputs.
• Understanding of responsible AI use and secure coding practices.

Responsibilities

• Lead end-to-end frontend deliverables across the Research Platform from discovery to production.
• Architect frontend solutions with a platform-first approach for multiple stakeholders.
• Collaborate with product managers and engineering teams to translate complex requirements into technical solutions.
• Advance SDLC practices, delivery mechanisms, and UI frameworks at scale.
• Mentor engineers and foster a culture of technical excellence and innovation.
• Uphold disciplined engineering standards including testing, accessibility, and security.
• Contribute to the evolution of the team's technology strategy and evaluate new tools.
• Drive adoption of AI-assisted engineering practices to improve code quality and delivery speed.
• Apply SDLC tooling and automation to improve value realization.

Skills

End-to-end ownership

Java

React

Vue

Svelte

Angular

Design system

Frontend testing

Cloud platforms

AI-assisted tooling

Secure coding

Cloud deployment

Tools

Webpack

Vite

Turbopack

Material UI

Fluent UI

Carbon

Radix

Bootstrap

Job description

Join JPMorganChase, where your engineering expertise powers decisions that matter on a global scale. As part of Markets Technology, you'll work alongside some of the brightest minds in the industry, building resilient, high-impact systems that support critical functions across the firm. We offer an environment where innovation is encouraged, growth is supported, and your contributions directly influence the product and business.

As a Lead Full-stack Software Engineer at JPMorgan Chase within the Corporate & Investment Bank (CIB) Research Technology team, you will play a pivotal role in promoting engineering excellence across the Research Platform. A large transformation of our client-facing platform is underway, and this role offers the opportunity to help shape its direction. You will leverage your full-stack expertise in a collaborative, high-performing environment to design, build, and enhance scalable, resilient solutions that support a rapidly evolving business. In this role, 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 — 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