at J.P. Morgan
Bulge Bracket Investment BanksPosted 25 days ago
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**Software Engineer III** at JPMorganChase's Asset and Wealth Management seeks proficient Java/React developer with 3+ years experience. Design, develop, and troubleshoot secure, high-quality software solutions while leveraging enterprise AI tools. Key responsibilities include executing code, maintaining algorithms, improving coding hygiene, and ensuring design constraints. Required skills span Java/React, micro-services, databases, CI/CD, and JVM performance analysis.
- Compensation
- Not specified
- City
- Singapore
- Country
- Singapore
Currency: Not specified
Full Job Description
Location: Singapore
We have an exciting and rewarding opportunity for you to take your software engineering career to the next level.
As a Software Engineer III at JPMorganChase within the Asset and Wealth Management, you serve as a seasoned member of an agile team to design and deliver trusted market-leading technology products in a secure, stable, and scalable way. You are responsible for carrying out critical technology solutions across multiple technical areas within various business functions in support of the firms business objectives.
Job responsibilities
As a Software Engineer III at JPMorganChase within the Asset and Wealth Management, you serve as a seasoned member of an agile team to design and deliver trusted market-leading technology products in a secure, stable, and scalable way. You are responsible for carrying out critical technology solutions across multiple technical areas within various business functions in support of the firms business objectives.
Job responsibilities
- Executes software solutions, design, development, and technical troubleshooting with ability to think beyond routine or conventional approaches to build solutions or breakdown technical problems
- Creates secure and high-quality production code and maintains algorithms that run synchronously with appropriate systems
- Leverages enterprise-authorized AI coding assist tools within the work environment to improve code quality, delivery speed, and productivity across complex deliverables (e.g., code generation/refactoring, unit test creation, documentation), while validating outputs through peer review, automated testing, and secure coding standards; contributes learnings and reusable patterns to improve broader team effectiveness.
- 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.
- Produces architecture and design artifacts for complex applications while being accountable for ensuring design constraints are met by software code development
- Gathers, analyzes, synthesizes, and develops visualizations and reporting from large, diverse data sets in service of continuous improvement of software applications and systems
- Proactively identifies hidden problems and patterns in data and uses these insights to drive improvements to coding hygiene and system architecture
Required qualifications, capabilities, and skills
- Bachelors degree in computer science, Engineering, Mathematics, or other related disciplines and 3+ years applied experience
- Commercial experience working with Java and React
- Experience in designing scalable micro-services using RESTful
- Knowledge of server side technologies (Spring/Spring boot, messaging frameworks such as ActiveMQ, Kafka, maven/gradle, junit mocking frameworks)
- Knowledge of the web technologies (Sass/CSS/HTML/Javascript/Typescript/NodeJS ecosystem and bundling tooling)
- Experience in developing, debugging and automated testing (e.g. react testing library / cypress) within a commercial setting
- Expertise in Databases, relational, and No-SQL 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
- Hands-on experience using enterprise-authorized AI-assisted software development tools within the work environment (e.g., for coding, test creation, troubleshooting, or documentation) with demonstrated ability to critically evaluate, validate, and refine AI-generated outputs for correctness, performance, and security.
- Overall knowledge of the Software Development Life Cycle
- Solid understanding of agile methodologies such as CI/CD, Application Resiliency, 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
