Lead Software Engineer, Java

JPMORGAN CHASE BANK, N.A.; Singapore; On-site; SGD 150,000 - 210,000; Full time

Job summary

JPMorgan Chase Bank, N.A. in Singapore seeks a Lead Software Engineer to drive secure, scalable technology solutions within an agile team. You will contribute as a core technical actor across multiple domains to support the firm's objectives.

Responsibilities include designing, building and debugging production code, and leading AI-assisted engineering practices to improve quality, speed, and reliability. Cloud-native experience and strong SDLC knowledge are essential.

Qualifications

• 5+ years of software engineering experience with system design, development, testing, and operations.
• Bachelor’s degree in Computer Science or equivalent.
• Hands-on programming experience, especially in Java and Spring/Spring Boot.
• Experience with AI-assisted development tools and secure coding practices.
• Strong understanding of SDLC and agile methodologies, plus cloud-native work experience.

Responsibilities

• Executes creative software solutions, design, development, and troubleshooting.
• Develops secure, high-quality production code and reviews others' code.
• Leads adoption of AI-assisted engineering practices to improve quality and speed.
• Utilizes SDLC tools and automation to enhance value and reliability.
• Identifies and automates recurring issues to improve stability.
• Leads evaluation sessions with vendors and internal teams on architecture.

Skills

Java

Spring/Spring Boot

AI-assisted tools

CI/CD

Agile methodologies

Cloud native

Security

Education

Bachelor's Degree in Computer Science or equivalent

Tools

AWS

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