We are seeking a Full Stack Developer with strong experience in .NET and Azure to design, build, and support modern, scalable applications. This role will work across front-end, back-end, and cloud services, collaborating closely with product, data, and architecture teams. Exposure to AI-driven features and intelligent automation is a big plus, with opportunities to contribute to innovative, data-powered solutions.

Key Responsibilities:

• Design, develop, and maintain full-stack applications using .NET technologies
• Build and support RESTful APIs and microservices on Azure
• Develop responsive front-end components using modern JavaScript frameworks
• Implement cloud-native solutions leveraging Azure App Services, Functions, Logic Apps, and Containers
• Integrate applications with Azure SQL, Cosmos DB, and other data services
• Collaborate with business and technical stakeholders to translate requirements into scalable solutions
• Implement AI-enabled features such as intelligent search, recommendations, document processing, or chat interfaces
• Integrate AI services using Azure OpenAI, Cognitive Services, or ML APIs
• Ensure application security, performance, scalability, and reliability
• Participate in code reviews, testing, and CI/CD pipelines
• Troubleshoot, debug, and optimize applications across environments
• Contribute to architectural decisions and best practices

Required Qualifications:

• 5+ years of experience as a Full Stack Developer or Software Engineer
• Strong experience with .NET (C#, ASP.NET Core, Web API)
• Experience building front-end applications using Angular, React, or Vue
• Solid experience with Azure cloud services
• Strong understanding of REST APIs, microservices, and distributed systems
• Experience with SQL and relational databases
• Hands-on experience integrating AI or intelligent automation features
• Experience with Git-based source control and CI/CD pipelines
• Strong problem-solving and communication skills

Preferred / Nice-to-Have:

• Experience with Azure OpenAI Service
• Familiarity with machine learning concepts or AI orchestration frameworks
• Experience with event-driven architectures (Service Bus, Event Grid)
• Experience with Docker and Kubernetes (AKS)
• Knowledge of DevOps and Infrastructure as Code (Bicep, ARM, Terraform)
• Exposure to data pipelines or analytics platforms
• Microsoft certifications (Azure Developer Associate, AI Engineer, etc.)

What Success Looks Like:

• High-quality, scalable, and secure applications deployed in Azure
• Smooth integration of AI-powered capabilities into business workflows
• Clean, maintainable code and well-documented solutions
• Strong collaboration with cross-functional teams