Dot Net Developer REQ97

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.