Fullstack Engineer - .NET

The ideal candidate will have robust experience in. NET 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, and Google Cloud) to deliver scalable, secure enterprise applications.
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.
Hands-On Coding: Actively develop, test, and deploy application-heavy solutions; write clean, efficient code in any of the programming languages, such as. NET Core (C#, ASP. NET) and Python for backend systems; and contribute 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 BiCE.
Performance and 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.
Requirements:
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.
Bachelor's degree in computer science, engineering, or a related field.
Certifications like Azure Developer Associate, Azure AI Fundamentals, or similar are a plus.
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 in NET 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 OpenAI, 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, Logic Apps, Service Bus, 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.

Experience
3-7 yrs