Lead Java Engineer — AI-Driven, Secure Financial Tech

Next Frontier Capital; Bournemouth; On-site; GBP 90,000 - 130,000; Full time

Job summary

J.P. Morgan is seeking a Lead Software Engineer in the Cash Asset Management space to drive secure, scalable technology solutions within an agile team.

You will contribute technically across multiple domains, leading AI-assisted engineering practices and critical design decisions. The role requires strong programming skills, SDLC expertise, and experience with cloud-native architectures in a financial services environment.

Qualifications

• Formal training or certification on software engineering concepts.
• Hands-on experience delivering system design, development, testing, and operational stability.
• Advanced proficiency in one or more programming languages.
• Experience leading use of enterprise-authorized AI-assisted software development tools with validation.
• Strong understanding of responsible AI, data sensitivity, security and resiliency in engineering workflows.
• Proficiency across the Software Development Life Cycle and agile methodologies.
• Practical cloud native experience.
• Knowledge of the financial services IT landscape.

Responsibilities

• Execute creative software solutions and tackle complex technical problems beyond routine approaches.
• Develop secure, high-quality production code and review peer code.
• Lead adoption of AI-assisted engineering practices to improve quality, speed, and operational outcomes.
• Utilize SDLC tools and automation to enhance value and efficiency.
• Identify and automate remediation to improve stability of applications and systems.
• Lead design reviews with external vendors and internal teams on architectural designs.

Skills

Programming languages

AI-assisted tools

CI/CD

Cloud native

SDLC

Agile

Leadership

Security

Tools

AI tooling

Job description

J.P. Morgan is seeking a Lead Software Engineer in the Cash Asset Management space to drive secure, scalable technology solutions within an agile team.

You will contribute technically across multiple domains, leading AI-assisted engineering practices and critical design decisions. The role requires strong programming skills, SDLC expertise, and experience with cloud-native architectures in a financial services environment.