Lead Software Engineer, Java

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

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 the Asset and Wealth 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

• Executes creative software solutions, design, development, and technical troubleshooting with ability to think beyond routine or conventional approaches to build solutions or breakdown technical problems
• Develops secure and high-quality production code, and reviews and debugs code written by others
• 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.
• Identifies opportunities to eliminate or automate remediation of recurring issues to improve overall operational stability of software applications and systems
• Leads 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

Required qualifications, capabilities, and skills

• Formal training or certification on software engineering concepts and 5+ years applied experience
• Bachelor’s Degree in Computer Science or equivalent
• Hands-on practical experience delivering system design, application development, testing, and operational stability
• Advanced in one or more programming language(s)
• Hands on Experience coding in Java, Spring/Spring Boot
• 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 IT systems
• Practical cloud native experience

Preferred qualifications, capabilities, and skills

• Experience working with AWS cloud services (e.g., ECS, S3, Lambda) and proficiency in Infrastructure as Code (IaC) using Terraform