at J.P. Morgan
Bulge Bracket Investment BanksPosted 8 days ago
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**Lead Software Engineer - Singapore, JPMorgan Chase** Lead, deliver, and enhance trusted technology products. Key responsibilities include code delivery and quality, driving AI-assisted engineering practices, and leading vendor evaluation sessions. Required: 5+ years in computer science/related fields, working with React and Java, expertise in databases and JVM performance analysis. Preferred: finance tech experience, cloud tech familiarity, and agile team leadership.
- Compensation
- Not specified
- City
- Singapore
- Country
- Singapore
Currency: Not specified
Full Job Description
Location: Singapore
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 firms business objectives.
Job responsibilities
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 firms business objectives.
Job responsibilities
- Own the delivery of value-add activities as part of a scrum team and be an active member governing the overall platform.
- Act as a Lead developer who will help set direction and best practice around automated testing, platform framework, SDLC as well as acting a point of contact for more junior developers to give them guidance on best practices.
- 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
- Bachelors degree in computer science, Engineering, Mathematics, or other related disciplines and 5+ years applied experience
- Commercial experience working with React and Java
- Experience in designing scalable micro-services using RESTful
- Knowledge of the web technologies (Javascript/Typescript/NodeJS ecosystem and bundling tooling)
- Knowledge of server side technologies (Spring/Spring boot, messaging frameworks such as Kafka, maven, junit mocking frameworks)
- Experience in developing, debugging and automated testing (e.g. react testing library / cypress) within a commercial setting
- Expertise in Databases, relational, and MongoDB and JVM performance analysis including profiling, heap dump analysis, thread dump analysis, and GC tuning within a commercial setting
- Solid understanding of CI/CD (e.g. Jenkins), Application Resiliency, and Security
- 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.
Preferred qualifications, capabilities, and skills
- Familiarity with modern front-end technologies Such as ag-grid, state management such as redux
- Exposure to cloud technologies
- Working within Investment Bank / Finance Technology
- Experience in leading an agile delivery team leveraging scrum, sprint planning, retrospectives and reporting progress to senior stakeholders.
