Software Engineer III, Glass Liquidity and Cash Management

JPMORGAN CHASE BANK, N.A.; Singapore; On-site; SGD 90,000 - 150,000; Full time

Job summary

JPMorgan Chase Bank, N.A. is hiring a Software Engineer III in Singapore within the CIB Technology GLCA team. You will join an agile group to design and deliver secure, scalable technology products across multiple domains, supporting the firm’s business objectives.

You will contribute to architecture, data analytics, and visualizations while maintaining code quality and security. The role emphasizes automated testing, microservices, and collaboration across teams in a large corporate environment.

Qualifications

• Bachelor's degree in Computer Science or equivalent.
• Hands-on experience in system design, development, testing, and operational stability.
• Experience with Java-based microservices and modern frameworks.
• Familiarity with AI-assisted coding tools and secure coding practices.

Responsibilities

• Executes software solutions, design, development, and troubleshooting beyond routine approaches.
• Creates secure, high-quality production code and maintains algorithms synchronized with systems.
• Leverages AI coding assist tools to improve quality, speed, and productivity with peer review and automated tests.
• Applies SDLC tools to enhance automation value and ensure security.

Skills

Problem solving

Team collaboration

Agile/Scrum

Automated testing

Education

Bachelor's degree in Computer Science

Tools

Git

Maven

Jenkins

React JS

Angular JS

Java 8+

Spring Boot

REST

SQL

Job description

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 Corporate and Investment Banking (CIB) Technology's Glass Liquidity and Cash management (GLCM) team, 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 firm's 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

• Bachelor's degree in Computer Science or equivalent
• Formal training or certification on software engineering concepts and 3+ years applied experience
• Hands-on practical experience in system design, application development, testing, and operational stability
• Experience in developing, debugging, and maintaining code in a large corporate environment with one or more modern programming languages and database querying languages
• 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.
• Understanding of responsible AI use in engineering workflows, including data sensitivity considerations, secure handling of inputs/outputs, and adherence to resiliency and security expectations; ability to guide peers on safe and effective usage within team practices.
• Experience in developing microservices using Java 8+, Spring Boot, REST, SQL, React JS, Angular JS.
• Strong focus on automated testing with good knowledge of TDD, BDD and Unit testing techniques using frameworks like Junit / Mockito.
• Good understanding of DevOps tools: source code control software (Git), build automation (Maven), continuous integration (Jenkins)

Preferred qualifications, capabilities, and skills

• Familiarity with modern front-end technologies
• Exposure to messaging systems like MQ/Kafka
• Exposure to cloud technologies (Kubernetes preferred)