[LTA-DPO] SENIOR / EXEC / ENGINEER, SYSTEM DEVELOPMENT

You will be part of the back-office development team to be involved in the software modernisation of the Automated Fare Collection (AFC) backend system supporting Singapore's public transport network. You will help design, migrate, build, test, deploy and support secure and reliable applications on AWS in the Government on Commercial Cloud (GCC) environment. You should be comfortable learning business processes, working with different teams and resolving issues.

What You'll Do:

• →Analyse requirements, design, develop, test and maintain the applications.
• →Prepare and maintain software lifecycle deliverables, including requirements, software architecture and design documents, interface specifications, source code, testing specifications, operations and maintenance manuals, training manuals and other documentation required under the Authority’s adopted standards.
• →Troubleshoot production and test-environment issues, investigate defects and improve application quality and performance.
• →Collaborate with other developers, users and testers to clarify requirements and resolve design or testing issues.

Knowledge in Engineering, Computer Science, Information Technology, or a related discipline.

• At least three years of software development experience, including one full SDLC and preparation of related documentation.
• Hands-on development and support of Java applications using Spring Framework and Spring Boot.
• Experience with AWS services such as Amazon EKS, DynamoDB and RDS.

• Modern Java, preferably Java 21 or later.
• Containerised applications, Kubernetes and GitLab CI/CD.
• PostgreSQL, database transactions and batch processing.
• MQTT and messaging platforms such as Solace and IBM MQ.

• Experience in GCC or another regulated cloud environment.
• Experience with AFC, high-volume transactions or other mission-critical systems.
• Experience with Dynatrace for application monitoring.
• Skills in creation of application-monitoring dashboards and data analysis.
• Knowledge of cloud security, including least-privilege access, encryption, secrets management, secure APIs, vulnerability scanning and remediation.
• Familiarity with the responsible use of AI-assisted coding tools, such as GitHub Copilot and Claude Code.

Good written and verbal communication skills in English.

As part of the shortlisting process for the role, you may be required to complete a medical declaration and / or undergo further assessment.