.Net Full Stack Development with AI

Role & Responsibilities

• Design end-to-end enterprise architectures integrating applications, data, infrastructure, and AI capabilities across multi-cloud environments (AWS, Azure, GCP).
• Lead full-stack application architecture using .NET Core, ASP.NET MVC, Python, and React/Angular.
• Drive adoption of Generative AI and Agentic AI within enterprise systems to enable automation and intelligent decision-making.
• Architect integration strategies using REST APIs, GraphQL, microservices, event-driven architecture, and messaging systems (e.g., Kafka).
• Define and implement multi-cloud deployment strategies ensuring scalability, portability, and cost optimization.
• Collaborate with DevOps teams on containerization (Docker, Kubernetes), CI/CD pipelines, and IaC (Terraform/Bicep).
• Ensure performance, security, compliance, and enterprise governance standards (IAM, encryption, secure coding).
• Provide technical leadership, mentor teams, and guide solution design discussions with stakeholders.
• Stay updated with AI, cloud, and architecture trends to drive innovation and modernization initiatives.

Preferred Candidate Profile

• 220+ years of experience in enterprise architecture with strong full-stack exposure.
• Proven experience designing and deploying multi-cloud enterprise solutions.
• Strong hands-on expertise in .NET Core, ASP.NET MVC, and Python.
• Experience with React or Angular for modern front-end architectures.
• Practical exposure to Generative AI, Agentic AI, and AI integration in enterprise applications.
• Strong knowledge of microservices, APIs, messaging systems, and integration patterns.
• Experience with Docker, Kubernetes, Terraform/Bicep, and CI/CD practices.
• Understanding of big data ecosystems (Hadoop, Spark) and data pipelines is an added advantage.
• Excellent leadership, stakeholder communication, and problem-solving skills.
• Relevant certifications (Azure Solutions Architect, TOGAF, DevOps, AI certifications) preferred.