.Net Full Stack Development

Project Role : Custom Software Engineer
Project Role Description : Develop custom software solutions to design code and enhance components across systems or applications. Use modern frameworks and agile practices to deliver scalable high-performing solutions tailored to specific business needs.
Must have skills : .Net Full Stack Development
Good to have skills : NA
Minimum 5 year(s) of experience is required
Educational Qualification : 15 years full time education
Summary:
AI POWERED TECH TALENT
Seeking a forward-thinking professional with an AI-first mindset to design develop and deploy enterprise-grade solutions using Generative and Agentic AI frameworks that drive innovation efficiency and business transformation.
Roles & Responsibilities: Lead AI-driven solution design and delivery by applying GenAI and Agentic AI to address complex business challenges automate processes and integrate intelligent insights into enterprise workflows for measurable impact.
Professional & Technical Skills: Strong grasp of Generative and Agentic AI prompt engineering and AI evaluation frameworks. Ability to align AI capabilities with business objectives while ensuring scalability responsible use and tangible value realization. We are seeking a dynamic Mid-Level Application Architects / Senior Developers with a strong focus on hands-on development and practical solution design. The ideal candidate will have robust experience Core MVC and Python with working knowledge of front-end technologies like React or Angular and a foundational understanding of AI integration. This role emphasizes active coding solution implementation and collaboration across application development infrastructure and integration in multi-cloud environments (AWS Azure Google Cloud) to deliver scalable secure enterprise applications.
Key Responsibilities:
Hands-On Coding: Actively develop test and deploy application-heavy solutions write clean efficient code in any of the programming languages Core (C# ) and Python for backend systems and contributing to front-end development using React or Angular.
Solution Design: Partner with senior architects to design scalable cloud-native application architectures focusing on performance maintainability and integration in multi-cloud environments.
Integration Development: Build and maintain integrations using APIs microservices and event-driven patterns (e.g. REST GraphQL Kafka or message queues).
Multi-Cloud Implementation: Develop and deploy applications across AWS Azure and Google Cloud ensuring portability and optimization for cost and performance.
AI Integration: Implement practical AI features (e.g. automation basic analytics) using cloud-based AI services or frameworks like TensorFlow or PyTorch.
Infrastructure Support: Collaborate with DevOps teams to implement containerized solutions (Docker Kubernetes) and CI/CD pipelines with hands-on use of IaC tools like Terraform or BiCep.
Performance & Security Optimization: Ensure applications meet performance and security standards through code reviews testing and adherence to best practices.
Team Collaboration: Work closely with developers product managers and infrastructure teams to translate requirements into technical implementations providing hands-on support and mentorship.
Continuous Learning: Stay updated on full-stack development trends cloud technologies and AI advancements to contribute to innovative solutions.

Qualifications & Skills:
Experience: 5 to 12 years of hands-on experience in full-stack development with at least 2 years in a lead developer or junior architect role focusing on application-heavy systems.
Demonstrated experience building and deploying solutions in multi-cloud environments (AWS Azure Google Cloud).
Strong proficiency and Python for backend development.
Hands-on experience with front-end frameworks like React Angular or similar.
Basic exposure to AI/ML integration such as using cloud AI services (e.g. Azure Open AI Azure Foundry AWS SageMaker) or simple ML frameworks.
Practical experience with integration patterns (e.g. REST APIs message queues) and microservices architecture.
Familiarity with infrastructure tools like Docker Kubernetes and IaC (e.g. Terraform BiCep).
Experience with cloud-native services (e.g. Azure Functions LogicApps ServiceBus etc.).
Working knowledge of DevOps practices including CI/CD pipelines and monitoring tools.
Understanding of secure coding practices and basic enterprise security standards (e.g. IAM encryption).

Soft Skills:
Strong debugging and problem-solving skills with a hands-on mindset.
Clear communication to collaborate with technical and non-technical stakeholders.
Ability to juggle hands-on coding with architectural design contributions.
Eagerness to learn and adapt to new tools frameworks and cloud technologies.

Education:
Bachelor s degree in computer science Engineering or a related field.
Certifications like Azure Developer Associate Azure AI Fundamentals or similar are a plus.