Java Lead Software Engineer

JP Morgan Chase; Greater London; On-site; GBP 62,000 - 102,000; Full time

Job summary

JPMorganChase in London is seeking a senior software engineer to deliver secure, scalable financial services software. The role emphasizes AI-assisted development, Java proficiency, and cloud-native design to support global operations.

You will mentor engineers, uphold regulatory and security standards, and collaborate across cross-functional teams to improve code quality, resilience, and delivery speed while promoting best practices and reusable patterns.

Qualifications

• Formal training in software engineering concepts.
• Advanced experience delivering design, development, testing, and ops.
• Proficient in Java and modern SDLC practices.
• Experience with CI/CD, security, and resiliency.
• Familiar with AI-assisted development and validation.
• Understanding of responsible AI in engineering workflows.
• Experience coaching engineers on AI adoption.
• Knowledge of financial services IT and regulatory needs.
• Cloud-native experience at scale.
• Exposure to emerging architectures and patterns.
• Strong communication and mentoring abilities.
• Ability to work in global, cross-functional teams.

Responsibilities

• Execute creative software solutions beyond routine approaches.
• Develop secure, high-quality production code and review others' code.
• Drive adoption of enterprise AI-assisted engineering practices and validation standards.
• Apply SDLC tools and automation to improve value delivery.
• Identify opportunities to automate remediation and improve stability.
• Lead evaluation sessions with vendors and internal teams.
• Contribute to communities of practice and promote new technologies.
• Foster diversity, inclusion, and team respect.

Skills

Software training

Applied experience

Java

SDLC & Agile

AI tooling

Responsible AI

Mentoring

Regulatory compliance

Global teams

Learning mindset

Security

Cloud-native

Emerging tech

Job description

Salary: £62,000 - 102,000 per year

Requirements:

• We have formal training or certification in software engineering concepts, along with advanced applied experience.
• We have hands-on experience delivering system design, application development, testing, and operational stability.
• We have advanced proficiency in one or more programming languages, such as Java.
• We are proficient in all aspects of the SDLC and have advanced understanding of agile methodologies and practices, including CI/CD, application resiliency, and security.
• We have demonstrated experience leading the effective use of approved AI-assisted software development tools, including coding, code review, test acceleration, and troubleshooting, and we set team expectations for validating AI outputs for correctness, performance, and security.
• We have a strong understanding of responsible AI use in engineering workflows, including data sensitivity considerations, secure handling of inputs and outputs, and adherence to resiliency and security expectations.
• We have experience coaching engineers on safe, compliant adoption of AI-assisted practices within delivery workflows.
• We have in-depth knowledge of the financial services industry and its IT systems.
• We have practical cloud-native experience at scale.
• We have experience with emerging technologies and architectural patterns.
• We have strong communication and collaboration skills, with the ability to mentor and guide junior engineers.
• We are familiar with regulatory and compliance requirements in financial services.
• We have experience working in global, cross-functional teams.
• We are passionate about continuous learning and professional development, and we can drive innovation and influence technology strategy.

Responsibilities:

• We execute creative software solutions, including design, development, and technical troubleshooting, and we think beyond routine approaches to solve complex technical problems.
• We develop secure, high-quality production code, and we review and debug code written by others.
• We drive team adoption of enterprise-authorized AI-assisted engineering practices to improve code quality, delivery speed, and operational outcomes while establishing consistent validation standards and promoting reuse of effective patterns across the team.
• We apply knowledge of SDLC tools, including enterprise-authorized AI-assisted development and automation capabilities, to improve the value realized by automation.
• We identify opportunities to eliminate or automate remediation of recurring issues to improve the operational stability and resiliency of software applications and systems.
• We lead evaluation sessions with external vendors, startups, and internal teams to assess architectural designs, technical credentials, and fit within existing systems and information architecture.
• We lead and contribute to communities of practice across software engineering and promote awareness and use of new and leading-edge technologies aligned to enterprise standards.
• We foster a team culture of diversity, opportunity, inclusion, and respect.

Technologies:

• AI
• CI/CD
• Cloud
• Java
• Security
• Support

More:

We are JPMorganChase, a global leader in financial services, and within our Commercial & Investment Bank we lead across banking, markets, securities services, and payments. Our CIB – Markets Technology team is an agile, collaborative environment focused on building trusted, market-leading technology products in a secure, stable, and scalable way. We serve clients in more than 100 countries and are committed to long-term partnerships, innovation, and operational excellence. We are also an equal opportunity employer, value diversity and inclusion, and provide reasonable accommodations for applicants and employees who need them.

last updated 36 week of 2026