Lead Full Stack Software Engineer - Java, React, AI

JPMorgan Chase JPMorgan Chase · Banking · GLASGOW, LANARKSHIRE, United Kingdom · Asset & Wealth Management

Lead Full Stack Software Engineer role focused on applying AI to client onboarding processes within a regulated fintech environment. The role involves building end-to-end solutions using Java, Python, and AWS, with a strong emphasis on automation and integrating AI as a tool for business process improvement.

What you'd actually do

  1. Apply AI to identify and automate manual, repetitive, or friction-heavy onboarding processes
  2. Build and deliver end-to-end solutions across the AWS stack using Java, Python, and modern front-end frameworks
  3. Design, develop, and manage relational and NoSQL databases to support regulatory and operational needs
  4. Create APIs using REST and GraphQL patterns, integrating with serverless and managed AWS services
  5. Establish and coach AI-powered engineering practices for problem decomposition, solution design, and automation

Skills

Required

  • Demonstrated ability to use AI as a tool for business process automation, problem decomposition, and solution design
  • Hands-on full-stack engineering experience with Java, Python, and modern front-end frameworks (React or similar)
  • Practical experience with database design and management across relational and NoSQL paradigms
  • Experience designing and building APIs using REST and GraphQL patterns
  • Deep knowledge of AWS serverless and managed services
  • Ability to compose AWS services into cohesive, secure, and scalable solutions
  • Experience with front-end delivery on AWS, including hosting SPAs and configuring Amplify
  • Proven track record of delivering technology change in regulated contexts with controls and traceability
  • Effective stakeholder management and navigation of governance and approval processes
  • Strong leadership in setting coding and design standards and promoting production readiness

Nice to have

  • Experience in Wealth Management, especially client onboarding processes and controls
  • Prior delivery experience within Asset & Wealth Management organizations
  • Familiarity with cross-functional operating models involving technology, operations, and risk/compliance
  • Innovative mindset with a bias toward action and outcome-oriented problem-solving
  • Collaborative team player with clear communication skills across technical and non-technical audiences
  • Instinct to apply AI-first thinking to business and technical challenges

What the JD emphasized

  • AI-first approach
  • regulated environment
  • regulatory compliance
  • regulatory and operational needs
  • regulated contexts with controls and traceability

Other signals

  • AI-first approach
  • leverage AI to streamline and enhance onboarding
  • use AI to solve business and technology challenges
  • automate manual workflows
  • Apply AI to identify and automate manual, repetitive, or friction-heavy onboarding processes
  • Establish and coach AI-powered engineering practices