Software Engineer III, Glass Liquidity and Cash Management

J.P. Morgan Chase & Co.; Singapore; On-site; SGD 90,000 - 120,000; Full time

Job summary

JPMorganChase is seeking a Software Engineer III to join the GLCM team within CIB Technology. You will design and deliver scalable, secure technology products, contributing across multiple technical areas and business functions.

You will work in an agile environment on production-grade systems, leveraging Java 8+, Spring Boot, REST, SQL, and modern front-end tech. Emphasis on automated testing, DevOps practices, and responsible AI usage.

Qualifications

• Bachelor's degree in Computer Science or equivalent.
• 3+ years of professional software engineering experience.
• Hands-on experience in system design, development, testing, and operational stability.
• Experience coding in a large corporate environment with modern programming languages and database querying.
• Experience using enterprise AI-assisted development tools with review and security checks.
• Understanding of responsible AI use in engineering workflows and secure data handling.
• Experience building microservices using Java 8+, Spring Boot, REST, SQL, React JS, Angular JS.
• Strong focus on automated testing with TDD/BDD and unit testing (JUnit/Mockito).
• Knowledge of DevOps tools: Git, Maven, Jenkins.

Responsibilities

• Executes software solutions, design, development, and troubleshooting with non-routine approaches.
• Creates secure, high-quality production code and maintains algorithms.
• Uses AI-assisted tools to improve code quality, velocity, and productivity with peer review and testing.
• Applies SDLC toolchain knowledge to enhance automation value.
• Produces architecture and design artifacts for complex applications and ensures constraints are met.
• Gathers and analyzes data to visualize and improve software systems.
• Identifies data patterns to drive improvements in coding hygiene and architecture.

Skills

Software engineering

System design

Application development

Testing & QA

AI-assisted development

Responsible AI

Microservices

Java 8+

Spring Boot

REST

SQL

React JS

Angular JS

JUnit/Mockito

DevOps: Git/Maven/Jenkins

CI/CD

Secure coding

Data visualization

Education

Bachelor's degree in Computer Science or equivalent

Formal training or certification on software engineering concepts

Tools

Java 8+

Spring Boot

REST

SQL

React JS

Angular JS

Git

Maven

Jenkins

Kubernetes

MQ/Kafka

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'sGlass 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)