Key Responsibilities
- Serve as the domain knowledge custodian for existing applications, providing technical guidance and context to the team on system architecture, business logic, and historical design decisions.
- Solution the design and develop the software using waterfall/Agile methodology.
- Perform investigation, troubleshoot issues by developing scripts, SQL queries.
- Work closely and collaborate with the Business Analysts and Quality Engineers/application testers for requirement analysis and user stories elaboration, test automation, bug fixes etc.
- Provide estimates for stories or other work units.
- Work with deployment team/DevOps team on setting up continuous integration, build and release automation.
- Create functional specifications and system design documents.
- Convert acceptance criteria into automated unit tests cases and create other test documents.
- Support production issues and other BAU activities.
- Support application setup in Cloud or on-premises.
- Involve in application deployment to the various environments.
- Apply AI coding tools such as Copilot and Coder AI to support development, testing, and code reviews.
- Use automation to improve development efficiency. This includes build, test, and deployment activities.
- Leverage AI assistance to improve code quality. This covers refactoring, defect resolution, and documentation.
- Demonstrate willingness to adopt new AI and automation tools where relevant to work outcomes.
What we are looking for
- Technical expertise in .Net Framework, .Net core.
- Demonstrable skills in C#, MS SQL, REST API, DevOps CI/CD pipeline (Jenkins, Git, CloudBees).
- Relevant software development certifications, e.g. Microsoft Certified Solution Developer for Dynamics or equivalent.
- Cloud certifications in AWS/Azure/Google Cloud will be an added advantage.
- Good understanding and completion of projects using waterfall/Agile methodology.
- Ability to troubleshoot complex issues ranging from system resource to application stack traces.
- Track record in implementing systems with high availability, high performance, high security hosted at various data centers or hybrid cloud environments will be an advantage.
- AI and automation scope past experience will be an advantage.