Lead Software Engineer, Post Trade Technology

JPMorgan Chase & Co.; Singapore; On-site; SGD 180,000 - 230,000; Full time

Job summary

JPMorgan Chase & Co. in Singapore is seeking a Lead Software Engineer within the Post Trade Technology team. You will be a core technical contributor responsible for delivering trusted market-leading products in a secure, scalable way.

You will drive AI-assisted engineering practices, design and code high-quality production software, and lead architectural evaluations with vendors and internal teams to align with business objectives.

Qualifications

• Formal training or certification on software engineering concepts and 5+ years applied experience.
• Bachelor’s Degree in Computer Science or equivalent.
• Hands-on experience in system design, development, testing, and operations.
• Advanced in Java with Spring Boot, MongoDB and Public Cloud (AWS).

Responsibilities

• Executes creative software solutions and technical troubleshooting for complex problems.
• Develops secure, high-quality production code and reviews others’ work.
• Drives adoption of AI-assisted engineering practices to improve quality and speed.
• Applies SDLC tools and enterprise automation to improve value and consistency.
• Identifies opportunities to automate remediation for stability.
• Leads evaluation sessions with vendors and internal teams on designs.

Skills

Java

Spring Boot

MongoDB

AWS

AI-assisted development tools

CI/CD

Agile methodologies

Security

Education

Bachelor's Degree in Computer Science

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 Post Trade Technology team, 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) in Java, Springboot, MongoDB and Public Cloud (AWS)
• 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