Dotnet Architect

You will be responsible for architecting and developing robust, scalable applications using .NET technologies. You will also implement responsive UI designs using Angular and modern front-end practices. Your role will involve designing and managing database systems using SQL at an expert level for both structured and unstructured data. Utilizing Azure cloud services for application deployment, scalability, monitoring, and security will be a key aspect of your responsibilities. Additionally, you will design and implement solutions that incorporate generative AI technologies such as GPT, LLMs, and Azure OpenAI Services for various business use cases. Collaborating closely with cross-functional teams to translate complex business requirements into technical architectures is essential. You will conduct detailed code reviews, enforce coding standards, and mentor the development team to ensure code quality. Implementing CI/CD pipelines to facilitate efficient development and deployment processes is also part of your role. Staying updated on advancements in .NET, Angular, MongoDB, Azure, SQL, and GenAI technologies to propose innovative solutions is expected. Your technical proficiency should include a strong understanding of RESTful APIs, microservices architecture, and front-end technologies like HTML5, CSS3, and JavaScript. Proficiency with Git and CI/CD tools for version control is required. You should possess the ability to debug complex technical issues and implement effective solutions. Preferred skills include experience with containerization tools like Docker and Kubernetes, understanding of data preprocessing techniques, familiarity with Agile development methodologies, and hands-on experience integrating AI solutions into applications. A Bachelors or Masters degree in Computer Science, Engineering, or a related field is required. Proven experience as a .NET Architect or in a similar role for 15 to 18 years is preferred. Your core expertise should include in-depth knowledge of the .NET framework, Angular, SQL databases, and Azure services. Familiarity with generative AI concepts, frameworks, and tools such as GPT and Azure OpenAI APIs is essential.,