Lead Java Engineer: AI-Driven, Secure Cloud-Scale

jpmorgan chase bank, n.a.; Singapore; On-site; SGD 180,000 - 240,000; Full time

Job summary

JPMorganChase in Singapore seeks a Lead Software Engineer to drive secure, scalable technology products in Asset and Wealth Management. You will contribute technically across multiple areas, shaping architecture and engineering practices within an agile team.

Key responsibilities include delivering secure production code, advancing AI-assisted development, and ensuring operational stability through robust testing and reviews.

Qualifications

• Formal training or certification in software engineering with 5+ years of applied experience.
• Bachelor’s Degree in Computer Science or equivalent.
• Hands-on experience in system design, app development, testing and operations.
• Proficiency in Java and Spring/Spring Boot.
• Experience leading use of AI-assisted software development tools with emphasis on correctness, performance and security.
• Strong understanding of responsible AI usage in engineering workflows.

Responsibilities

• Executes creative software solutions and troubleshoots complex problems beyond routine approaches.
• Develops secure, high-quality production code and reviews colleagues' code.
• Drives adoption of AI-assisted engineering practices to improve quality and delivery speed.
• Applies SDLC toolchain knowledge to improve automation and value.
• Identifies opportunities to automate recurring issues to boost stability.
• Leads evaluation sessions with vendors and teams on architectural designs and applicability.

Skills

Java/Spring Boot

AI-assisted tooling

Security & resiliency

CI/CD

Cloud native

Agile methodologies

Financial services knowledge

Education

Bachelor’s in Computer Science or equivalent

Tools

Terraform

Job description

JPMorganChase in Singapore seeks a Lead Software Engineer to drive secure, scalable technology products in Asset and Wealth Management. You will contribute technically across multiple areas, shaping architecture and engineering practices within an agile team.

Key responsibilities include delivering secure production code, advancing AI-assisted development, and ensuring operational stability through robust testing and reviews.