Software Engineer III - Java, Database, AWS

JPMorgan Chase & Co.; Singapore; On-site; SGD 110,000 - 165,000; Full time

Job summary

JPMorganChase in Singapore's Payments Technology group seeks a Software Engineer III to design and deliver trusted market-leading technology products in a secure, scalable way. You will contribute as a seasoned team member across the SDLC, collaborating with cross-functional partners to meet business objectives.

You will develop secure production code with Java/Spring Boot, participate in code reviews, and leverage AI-assisted development tools to improve quality and speed while maintaining

Qualifications

• Bachelor degree in CS/IS/Engineering or related discipline.
• Minimum 5 years of hands-on software development experience.
• Advanced knowledge in Java with Spring Boot and secure coding practices.

Responsibilities

• Executes software solutions, design, development, and troubleshooting with non-routine approaches.
• Develops secure, high-quality production code and reviews peers' work.
• Leverages enterprise AI coding assist tools to improve quality, speed, and productivity with peer review and secure coding.
• Applies SDLC toolchain knowledge to enhance automation and value.
• Identifies opportunities to automate remediation and improve stability of applications.
• Leads communities of practice to drive awareness of new technologies.

Skills

Java

Spring Boot

CI/CD

Distributed systems

Secure coding

Automated testing

AI-assisted dev

Education

Bachelor's degree in Computer Science / Information systems / Engineering

Tools

AI coding tools

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 Commercial & Investment Bank's Payments Technology group, 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
• Develops secure high-quality production code, and reviews and debugs code written by others
• 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.
• Identifies opportunities to eliminate or automate remediation of recurring issues to improve overall operational stability of software applications and systems
• Leads communities of practice across Software Engineering to drive awareness and use of new and leading-edge technologies

Required qualifications, capabilities, and skills

• Bachelor Degree in Computer Science/ Information systems/ Engineering or related disciplines
• Minimum 5 years of Software development hands on experience
• Advanced knowledge in Java on Spring Boot programming language
• Hands-on practical experience delivering system design, application development, testing, and operational stability
• Proficient in all aspects of the Software Development Life Cycle, software engineering principles, design patterns, and best practices
• Advanced understanding of agile methodologies such as CI/CD, Application Resiliency, and Security and proficient in automation and continuous delivery methods
• Demonstrated proficiency in software applications and technical processes within a technical discipline (e.g., cloud, artificial intelligence, machine learning, mobile, etc.)
• Hands on experience working with high throughput, low latency distributed systems ensuring efficient communication and integration between different systems
• Proven record of providing end-user support with excellent problem-solving abilities
• 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

Preferred qualifications, capabilities, and skills

• Advanced knowledge in relational and NoSQL databases
• Knowledge of On-prem and/or public cloud