Role Overview
The Onshore IT Software Developer will be responsible for designing, developing, testing, integrating, and maintaining application features across the frontend, backend, and database layers. The role involves leveraging modern development practices and AI-assisted tools to enhance delivery efficiency, code quality, and system reliability within a secure public sector environment.
Summary
This role requires a well-rounded developer capable of:
Full-stack development (Angular + Spring Boot + MySQL)
Working in a secure, high-governance public sector environment
Leveraging AI-assisted development practices
Supporting end-to-end delivery from design to production support
Scope of Services
1. Application Development & Integration
Design, develop, test, integrate, and maintain application components across:
Frontend: Angular / modern JavaScript frameworks
Backend: Java Spring Boot
Database: MySQL
Build and enhance:
User interfaces (UI/UX components)
APIs Backend and business logic
Database schemas, queries, and stored procedures
Perform system integration with internal and external systems
Conduct defect fixing, performance tuning, and optimization
Provide deployment support across development, testing, and production environments
Leverage AI-assisted development tools to improve productivity, consistency, and code quality
2. Testing & Quality Assurance
Develop and execute unit tests for both frontend and backend modules
Improve test coverage and edge case identification using AI-assisted techniques
Support integration and system testing activities
Ensure application quality aligns with project and regulatory standards
3. Code Quality & Security Compliance
Participate actively in code reviews
Ensure compliance with:
Authority coding standards
OWASP Secure Coding Practices
Apply secure development principles to protect sensitive data and systems
4. Build, Deployment & Support
Support application build, packaging, and deployment
Work with CI/CD pipelines across environments
Troubleshoot and resolve application issues across:
Development
Testing
Production
Utilize AI-assisted diagnostics tools to improve issue resolution efficiency
