Software Engineer III, Post Trade Technology

JPMorgan Chase & Co.; Singapore; On-site; SGD 100,000 - 140,000; Full time

Job summary

JPMorgan Chase & Co. in Singapore is seeking a Software Engineer to design, develop, and troubleshoot production code using modern languages and secure coding practices.

You will deliver robust software with a focus on reliability and scalability in a large corporate setting. You will leverage enterprise AI-assisted development tools within the SDLC to improve quality, speed, and productivity, produce architecture artifacts, analyze large data sets, and contribute to continuous improvement of

Qualifications

• Formal training or certification in software engineering concepts and 3+ years of applied experience.
• Bachelor’s degree in Computer Science or equivalent.
• Hands-on experience in system design, development, testing and operational stability.
• Experience in large corporate environments with modern programming languages and SQL/DB querying.
• Experience using AI-assisted development tools with evaluation and secure outputs.
• Understanding of responsible AI use, data sensitivity, security and resiliency.

Responsibilities

• Executes software solutions, design, development, and debugging with scalable approaches.
• Creates secure, high-quality production code and maintains relevant algorithms.
• Uses enterprise AI coding assist tools to improve quality, speed, and productivity with peer reviews.
• Applies SDLC tools and automation to improve value and efficiency.
• Produces architecture and design artifacts for complex applications.
• Gathers and analyzes data to enable continuous improvement of software and systems.
• Identifies patterns in data to drive improvements in coding hygiene and architecture.

Skills

Software engineering concepts

3+ years experience

System design

Application development

Testing and operational stability

CI/CD / Agile

Secure coding practices

AI-assisted development tools

Data analysis and visualization

Education

Bachelor’s degree in Computer Science or equivalent

Tools

Enterprise SDLC tools

AI-assisted development tools

Job description

We have an exciting and rewarding opportunity for you to take your software engineering career to the next level.

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

• Formal training or certification on software engineering concepts and 3+ years applied experience
• Bachelor’s degree in Computer Science or equivalent
• 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.
• 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

• In-depth knowledge of the financial services industry and their IT systems
• Practical cloud native experience