Salary range: GBP 80-90K/ Annum
Job Responsibilities:
Application Design: Architect and develop robust, scalable applications using .NET technologies.
Front-End Development: Implement responsive UI designs using Angular and modern front-end practices.
Database Management: Design and manage database systems using MongoDB and SQL for structured and unstructured data.
Cloud Solutions: Utilize Azure cloud services for application deployment, scalability, monitoring, and security.
GenAI Integration: Design and implement solutions that incorporate generative AI technologies, leveraging models like GPT, LLMs, and Azure OpenAI Services for business use cases.
Collaboration: Work closely with cross-functional teams to translate complex business requirements into technical architectures.
Code Quality: Conduct detailed code reviews, enforce coding standards, and mentor the development team.
Continuous Integration: Implement CI/ CD pipelines to ensure efficient development and deployment processes.
Research & Innovation: Stay updated on advancements in .NET, Angular, MongoDB, Azure, SQL, and GenAI technologies to propose innovative solutions.
Technical Proficiency : Strong understanding of RESTful APIs, microservices architecture, and front-end technologies (HTML5, CSS3, JavaScript).
Version Control: Proficiency with Git and CI/ CD tools.
Problem-Solving: Ability to debug complex technical issues and implement effective solutions.
Preferred Skills:
Experience with containerization tools like Docker and Kubernetes.
Understanding of data preprocessing techniques and machine learning workflows.
Familiarity with Agile development methodologies.
Hands-on experience integrating AI solutions into applications
Qualifications:
Education: Bachelor's or Master's degree in Computer Science, Engineering, or a related field.
Experience: Proven experience as a .NET Architect or similar role. (15 to 18 years )
Core Expertise: In-depth knowledge of .NET framework, Angular, MongoDB, SQL databases, and Azure services.
GenAI Skills: Familiarity with generative AI concepts, frameworks, and tools (e.g., GPT, Azure OpenAI APIs).