Sr Lead Software Engineer - Java

JPMorgan Chase & Co.; Uddingston; On-site; GBP 70,000 - 110,000; Full time

Job summary

JPMorganChase is seeking a Sr Lead Software Engineer to drive secure, scalable technology solutions within Enterprise Technology. The role emphasizes AI-assisted development, architecture evaluation, and leadership across cross‑functional teams.

You will contribute to design, coding, and operational stability while advancing secure practices and modern SDLC tools in a fast-paced, enterprise environment.

Qualifications

• Formal training or certification in software engineering concepts.
• Hands-on experience delivering system design, application development, testing, and operational stability.
• Experience leading use of AI-assisted software development tools and validating AI outputs for correctness, performance, and security.

Responsibilities

• Execute secure, high-quality production code and review code written by others.
• Develop secure and high-quality production code, and review and debug code written by others.
• Identify opportunities to automate remediation of recurring issues to improve stability.
• Lead evaluation sessions with external vendors, startups, and internal teams on architectural designs and applicability for use within existing systems.
• Drives adoption of enterprise-authorized AI-assisted engineering practices to improve code quality, delivery speed, and outcomes.
• Applies SDLC tools and AI-assisted automation to improve value realized by automation.

Skills

Advanced programming skills

AI-assisted development tools

Agile methodologies

Cloud native experience

Secure coding practices

Tools

AI-assisted development tools

CI/CD tools

Security testing tools

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 Sr Lead Software Engineer at JPMorganChase within Enterprise Technology 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
• 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 credentials, and applicability for use within existing systems and information architecture
• 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

• 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 approved 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 technology systems
• Practical cloud native experience