Lead Software Engineer - Java, AWS, AI

JPMorgan Chase & Co.; Glasgow; On-site; GBP 90,000 - 140,000; Full time

Job summary

JPMorgan Chase & Co. seeks a Lead Software Engineer for the Research Platform team in the United Kingdom. You will own end-to-end deliverables, architect platform-first solutions, and partner with product managers and engineering to translate complex requirements into scalable technical outcomes.

You will champion best practices, mentor engineers, and help evolve our agentic SDLC with a product-first mindset, driving reuse, security, and high-quality software delivery across the team.

Qualifications

• Proven ability to autonomously own complex engineering deliverables involving multiple teams and stakeholders.
• Hands-on experience across the full stack and willingness to learn new technologies.
• Demonstrated experience designing and deploying cloud-native applications on AWS, Azure, or Google Cloud.
• Experience architecting scalable and resilient applications.
• 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 with evaluation of AI outputs for correctness, performance, and security.
• Understanding of responsible AI use in engineering workflows, including data sensitivity and secure handling.

Responsibilities

• Lead and own end-to-end deliverables across the Research Platform.
• Architect and design platform-first solutions balancing multiple stakeholder needs.
• Collaborate with product managers and cross-functional teams to translate business requirements into technical solutions.
• Champion engineering best practices and evolve the agentic SDLC.
• Mentor junior engineers and foster technical excellence and continuous learning.
• Operate with a product-first mindset to execute effectively and efficiently.
• Contribute to the evolution of the team’s technology strategy and toolset.
• Promote enterprise-wide AI-assisted coding, testing, and automation practices with secure validation.

Skills

Lead complex deliverables

Full-stack experience

Cloud-native design

AI-assisted development tools

Problem solving

Job description

Join us to build innovative platforms that empower research teams to deliver impactful insights. You’ll lead technical direction, collaborate across product and engineering, and help advance our agentic software development lifecycle. This is your opportunity to influence strategy, foster a culture of excellence, and grow your career in a dynamic environment.

Job Summary:

As a Lead Software Engineer in the Research Platform team, you will own end-to-end deliverables and architect platform-first solutions that address diverse stakeholder needs. You’ll partner with product managers and engineering teams to translate complex business requirements into technical solutions. You’ll champion best practices, mentor junior engineers, and contribute to the evolution of our technology strategy.

Job Responsibilities

• Lead and own end-to-end deliverables across the Research Platform
• Architect and design platform-first solutions that balance multiple stakeholder needs
• Collaborate with product managers and cross-functional engineering teams to translate complex business requirements into technical solutions
• Champion engineering best practices and help us evolve our fast-moving agentic SDLC
• Mentor and guide junior engineers, fostering a culture of technical excellence, continuous learning, and innovation
• Operate with a product-first mindset to execute effectively and efficiently
• Contribute to the evolution of the team’s technology strategy by evaluating emerging tools and frameworks
• 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 ability to autonomously own complex engineering deliverables involving multiple teams and stakeholders
• Hands-on experience across the full stack and willingness to learn new technologies
• Demonstrated experience designing and deploying cloud-native applications on AWS, Azure, or Google Cloud
• Experience architecting scalable and resilient applications
• 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
• Understanding of financial research
• Experience delivering engineering outcomes using an agentic SDLC
• Ability to manage risk and controls across a technology portfolio