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.