Lead Software Engineer - Java

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

Job summary

JPMorgan Chase & Co. in the United Kingdom invites a Lead Software Engineer within Cash Asset Management to join an agile team, to build trusted market-leading technology products in a secure, scalable way.

You will lead critical design and development, review code, and drive AI-assisted practices to improve quality, speed, and reliability, while aligning with enterprise security and resiliency standards.

Qualifications

• Advanced programming capability across one or more languages.
• Experience leading enterprise-grade software development and testing.
• Proven use of AI-assisted development tools with emphasis on correctness, performance and security.
• Strong knowledge of secure coding practices and SDLC governance.

Responsibilities

• Execute software solutions with design, development and debugging across complex systems.
• Develop secure, high-quality production code and review peers' work.
• Drive adoption of AI-assisted engineering practices to boost code quality, delivery speed and reliability.
• Apply SDLC tooling to improve automation and value realization.
• Identify and automate remediation of recurring issues to enhance stability.
• Lead architecture evaluation sessions with internal teams and external partners.

Skills

Programming

AI-assisted development

Code review

CI/CD

Secure coding

Education

Formal software engineering training/certification

Job description

We have an opportunity to impact your career and provide an adventure where you can push the limits of what's possible.

As a Lead Software Engineer at JPMorganChase within Cash Asset Management, you are an integral part of an agile team that works to enhance, build, and deliver trusted market-leading technology products in a secure, stable, and scalable way. As a core technical contributor, you are responsible for conducting critical technology solutions across multiple technical areas within various business functions in support of the firm's business objectives.

Job responsibilities

• Execute creative software solutions, design, development, and technical troubleshooting with the ability to think beyond routine or conventional approaches to build solutions or break down technical problems
• Develop secure and high-quality production code, and review and debug code written by others
• Drive 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
• Apply 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
• Identify opportunities to eliminate or automate remediation of recurring issues to improve overall operational stability of software applications and systems
• Lead evaluation sessions with external vendors, startups, and internal teams to drive outcomes-oriented probing of architectural designs, technical cr

Required qualifications, capabilities, and skills

• Formal training or certification on software engineering concepts and advanced applied experience
• Hands-on practical experience delivering system design, application development, testing, and operational stability
• Advanced proficiency in one or more programming languages
• Demonstrated experience leading effective use of enterprise-authorized AI-assisted software development tools (e.g., for coding, code review, test acceleration, troubleshooting) with the ability to set team expectations for validating AI outputs for correctness, performance, and security
• Strong understanding of responsible AI use in engineering workflows, including data sensitivity considerations, secure handling of inputs/outputs, and adherence to resiliency and security expectations; experience coaching engineers on safe, compliant adoption within delivery practices
• Proficient in all aspects of the Software Development Life Cycle
• Advanced understanding of agile methodologies such as CI/CD, Application Resiliency, and Security
• In-depth knowledge of the financial services industry and their information technology systems
• Practical cloud native experience