Lead Software Engineer, Post Trade Technology

JPMorgan Chase & Co.

Singapore

On-site

SGD 140,000 - 210,000

Full time

14 days+

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Job summary

JPMorganChase in Singapore seeks a Lead Software Engineer to advance trusted, secure, scalable technology products within Post Trade Technology. You will lead critical engineering efforts across multiple areas, contributing as a core technical team member and driving AI-enabled practices to improve quality and velocity.

The role requires strong design, development, testing, and operational stability expertise, with experience in cloud-native environments and secure coding practices as part of a

Qualifications

  • 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 Java, Spring Boot, MongoDB and AWS.
  • Experience leading use of AI-assisted software development tools with validation of outputs.
  • Strong understanding of responsible AI use in engineering workflows.
  • Proficient in all aspects of the Software Development Life Cycle.
  • Advanced understanding of CI/CD, Application Resiliency, and Security.
  • In-depth knowledge of the financial services industry IT systems.
  • Practical cloud native experience.

Responsibilities

  • Executes creative software solutions, design, development, and troubleshooting with ability to tackle non-routine problems.
  • Develops secure, high-quality production code and reviews code written by others.
  • Drives AI-assisted engineering practices to improve code quality, delivery speed, and operational outcomes with secure validation standards.
  • Applies SDLC tools to improve value through automation and tooling.
  • Identifies opportunities to automate remediation to improve stability of software applications.
  • Leads evaluation sessions with vendors and internal teams on architectural designs and applicability for existing systems.

Skills

Java
Spring Boot
MongoDB
AWS
AI-assisted development
Code review
CI/CD
Secure coding
Application resiliency
Security
Cloud native
Financial services IT

Education

Bachelor's degree in Computer Science

Tools

AI-assisted development tools

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
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