Associate Full-stack Software Engineer at Manulife in Kuala Lumpur

Job description

We are seeking a motivated Associate Full-Stack Software Engineer to join our software development team. The candidate will participate in the design, development, testing, deployment, and support of web and digital applications using modern full-stack technologies and AI-assisted engineering practices Position Responsibilities: Software Development Develop, test, deploy, and maintain web applications using modern front-end and back-end technologies. Translate business and functional requirements into practical technical solutions. Build reusable, scalable, secure, and maintainable software components. Participate in system integration, API development, and database-related activities. Conduct unit testing and support system integration testing and user acceptance testing. Troubleshoot and resolve application defects, production incidents, and post-go-live issues. Prepare and maintain technical documentation, system design details, and operational support materials. Front-End Development Develop responsive and user-friendly interfaces using Angular or similar modern frameworks, TypeScript, HTML, CSS, and JavaScript. Collaborate with UX/UI designers and business stakeholders to deliver intuitive digital experiences. Ensure cross-browser compatibility, accessibility, performance, and consistent user experience. Back-End Development Develop and maintain backend services, RESTful APIs, integrations, and business logic using Java, Spring Boot, or equivalent technologies. Integrate applications with databases, internal platforms, and external services. Support microservices-based architectures and application component upgrades where applicable. AI-Assisted Software Development Use approved AI-powered development tools, such as GitHub Copilot, Microsoft Copilot, or equivalent enterprise platforms, to improve productivity and accelerate delivery. Apply AI assistance to code generation, refactoring, technical documentation, code explanation, troubleshooting, and solution exploration. Review, test, and validate all AI-generated outputs using sound engineering judgment before implementation. Ensure AI-assisted development complies with secure coding standards, data protection requirements, intellectual property controls, and Responsible AI principles. Identify appropriate opportunities to improve software engineering practices through AI and automation. AI-Driven Quality Engineering and Testing Use AI-assisted and automated testing tools to support test case generation, test data preparation, defect analysis, and regression testing. Collaborate with quality engineers and business users to improve test coverage and establish reusable, structured test assets. Develop, maintain, and execute automated test scripts using suitable testing frameworks and tools. Analyze automated test results, investigate failures, and recommend quality improvements. Support shift-left testing by incorporating quality checks early in the software development lifecycle. Agile Delivery and Engineering Governance Participate actively in sprint planning, daily stand-ups, backlog refinement, sprint reviews, and retrospectives. Work closely with cross-functional teams to deliver agreed sprint commitments and communicate progress, risks, and blockers. Use Git-based version control, peer code review, and pull request practices. Follow established software development lifecycle, release management, change management, security, and compliance controls. Continuous Improvement Learn and adopt new technologies, frameworks, engineering practices, and AI capabilities. Contribute ideas for process improvement, automation, technical debt reduction, and developer productivity. Support DevOps, DevSecOps, and CI/CD implementation and enhancements. Share knowledge, reusable components, lessons learned, and good practices across the engineering team. Required Qualifications: Bachelor's Degree in Computer Science, Software Engineering, Information Technology, Information Systems, or