Job description

[What the role is]

[What you will be working on]

• Develop, test, implement and maintain application systems, including legacy application systems.
• Provide support to end-users, including support of user acceptance testing and operational support to analyse & resolve technical issues.
• Perform source code reviews and ensure high coding standards.
• Support the modernisation of legacy application systems using cloud-native technologies and Singapore Government Tech Stack (e.g. DevSecOps, CStack, etc).
• Explore and integrate AI-powered tools and services (e.g. Azure AI, AWS SageMaker, Google Vertex AI) to enhance application functionality, automate workflows, and improve user experience.
• Collaborate with data teams to incorporate machine learning models into applications for predictive analytics, anomaly detection, and intelligent decision support.
• Evaluate and implement AI-assisted development tools (e.g. GitHub Copilot, IntelliCode) to improve coding efficiency and reduce technical debt.
• Work in teams to put forward recommendations to enhance effectiveness of processes.
• Contribute to poly-wide/department-wide events or activities.

[What we are looking for]

• Relevant qualification in Computer Science, Information Systems, Computer Engineering or related discipline.
• At least 2 years of relevant experience in application system development using Java and providing end-user support.
• High proficiency and experience in Web Application Development using Java/JEE, HTML/CSS, Javascript and SQL and strong technical knowledge of Oracle database and PL/SQL procedures.
• Knowledge of React JS, Node JS, APIs and Spring Framework will be an advantage.
• Optional Knowledge of .NET, Oracle Forms and Reports and C language (optional) will be an added advantage.
• Strong analytical, problem solving and communication skills (both written & verbal).
• Proficient and resourceful in exploring, evaluating and implementing new technologies such as AI.
• Experience or interest in AI/ML technologies, including model deployment, API integration, and cloud-based AI services.