Full-Stack Software Engineer III

JPMorgan Chase & Co.; Greater London; On-site; GBP 90,000 - 120,000; Full time

Job summary

JPMorganChase in London is seeking a Software Engineer III to join the Infrastructure Platforms, Data Center Services team. You will design, develop, and deliver full-stack solutions across frontend (React) and backend (Node.js/TypeScript, Python) services in a secure, scalable environment.

As a seasoned member of an agile team, you will mentor juniors, contribute to architecture, and apply enterprise AI-assisted tooling while ensuring code quality, testing, and operational stability.

Qualifications

• Formal training or certification in software engineering concepts.
• Hands-on experience with system design, application development, testing, and operational stability.
• Strong experience in JavaScript/TypeScript (React, Node.js).
• Experience building and maintaining code in large-scale environments using modern languages and databases.
• Familiarity with agile methodologies, CI/CD, resiliency, and security practices.
• Knowledge of software processes in cloud, AI/ML, or mobile contexts.
• Experience with AI-assisted software development tools and validating AI outputs.
• Understanding of responsible AI use in engineering workflows.

Responsibilities

• Design, develop, and deliver full-stack solutions across frontend (React) and backend (Node.js/TypeScript, Python).
• Create secure, high-quality production code with reliable algorithms.
• Produce architecture and design artifacts for complex components while meeting constraints.
• Analyze large data sets and develop visualizations to improve software applications.
• Identify data patterns to drive improvements in code and architecture.
• Develop domain expertise in Data Center Services areas (UI/UX, backend, tooling, testing).
• Contribute to engineering communities and mentor junior engineers.
• Leverage enterprise AI coding assist tools and validate outputs via peer review and testing.
• Utilize SDLC tools and AI-assisted development to improve automation and value.

Skills

JavaScript/TypeScript

React

Node.js

Python

Agile methodologies

CI/CD

Secure coding

Mentoring

AI-assisted development tools

Tools

React

Node.js

TypeScript

Python

Git

CI/CD tooling

Containerization

Job description

Join a team that is redefining how enterprise infrastructure technology is built, delivered, and scaled. At JPMorganChase, we invest in our engineers — giving you access to cutting-edge tools, meaningful mentorship, and the opportunity to grow your career across one of the world's most complex and innovative technology organizations. Here, your work doesn't just support a product — it powers the infrastructure that keeps global markets moving.

As a Software Engineer III at JPMorganChase within the Infrastructure Platforms, Data Center Services team, you serve as a seasoned member of an agile team that works to enhance, build, 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 this role, you will bring both technical depth and collaborative energy to a team that values quality, innovation, and continuous improvement.

Job Responsibilities

• Apply advanced technical skills to design, develop, and deliver full-stack solutions across frontend (React) and backend (Node.js/TypeScript, Python) services
• Create secure, high-quality production code and maintain algorithms that run reliably and synchronously with appropriate systems
• Produce architecture and design artifacts for complex application components, ensuring design constraints are met in implementation
• Gather, analyze, synthesize, and develop visualizations from large data sets in support of continuous improvement of software applications
• Proactively identify hidden problems and patterns in data, and use these insights to drive improvements to coding hygiene and system architecture
• Develop subject matter expertise in a specific technical domain relevant to Data Center Services (e.g., UI/UX, backend architecture, software development lifecycle tooling, testing strategy, or operational support)
• Contribute to software engineering communities of practice and employee resource groups through facilitation, guest speaking, or content contribution
• Mentor junior software engineers and actively support their technical growth and development
• Leverages enterprise-authorized AI coding assist tools within the work environment to improve code quality, delivery speed, and productivity (e.g., code generation/refactoring, unit test creation, documentation), while validating outputs through peer review, automated testing, and secure coding standards
• 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

• Formal training or certification on software engineering concepts and proficient applied experience
• Hands-on practical experience in system design, application development, testing, and operational stability
• Proficiency in modern programming languages, with strong experience in JavaScript/TypeScript (React, Node.js) required
• Experience developing, debugging, and maintaining code in a large-scale environment using modern programming and database querying languages
• Solid understanding of agile methodologies, including continuous integration/continuous delivery, application resiliency, and security practices
• Demonstrated knowledge of software applications and technical processes within a technical discipline (e.g., cloud, artificial intelligence/machine learning, or mobile)
• Working knowledge of the Software Development Life Cycle
• Hands-on experience using enterprise-authorized AI-assisted software development tools within the work environment (e.g., for coding, testing, troubleshooting, or documentation) with demonstrated ability to critically evaluate and validate AI-generated outputs
• Understanding of responsible AI use in engineering workflows, including data sensitivity considerations, secure handling of inputs/outputs, and adherence to resiliency and security expectations

Preferred qualifications, capabilities, and skills

• Familiarity with Python for backend services or tooling
• Exposure to cloud technologies and infrastructure-as-code practices
• Experience with artificial intelligence or machine learning concepts and tooling relevant to infrastructure and operations use cases