Application Programming Interface (API), Applications Security, Artificial Intelligence (AI), Automation, Cloud Architecture, Cloud Computing, Continuous Deployment/Delivery, Continuous Integration, Cross-Functional, Data Processing, DevOps, HIPAA (Health Insurance Portability and Accountability Act), HL7 (Health Level 7), Healthcare, High Availability, Microservices, Microsoft .NET, Microsoft ASP.NET (Active Server Page), Microsoft C# (C Sharp), Microsoft Windows Azure, Performance Management, Performance Tuning/Optimization, REST (Representational State Transfer), Scalable System Development, Software Development Lifecycle (SDLC), System Integration (SI), Test Automation, User Interface/Experience (UI/UX)
Job Summary:
• Design, develop, and deploy scalable full-stack applications using .NET (C#, ASP.NET Core) across On-Premise and Azure environments.
• Build and integrate AI/ML-driven features using Azure AI, OpenAI, or other ML services to enhance business capabilities.
• Develop and consume RESTful APIs and microservices, ensuring high availability and performance.
• Integrate healthcare systems using FHIR, HL7, and APIs, ensuring secure and HIPAA-compliant data processing.
• Implement CI/CD pipelines, automation, and observability using Azure DevOps and modern DevOps practices.
• Apply cloud-native architecture principles including containerization (AKS), serverless (Azure Functions), and event-driven design.
• Ensure application security, performance optimization, and test automation across the SDLC.
• Collaborate with cross-functional teams to deliver high-quality, secure, and AI-enabled solutions.
• Candidate should have 8+ years of hands-on experience in full-stack development, preferably in .NET and Azure-based environments.
Required Skills:
Strong .NET Full Stack Development (Mandatory)
• Expertise in C#, ASP.NET Core, Web APIs
• Experience in building scalable, enterprise-grade applications
• Strong understanding of backend services and frontend integration
AI / ML Integration Experience (Key Requirement)
• Hands-on experience with Azure AI, OpenAI, or ML services
• Ability to integrate AI/ML models into applications
• Understanding of automation, intelligent workflows, and data-driven solutions
Azure Cloud & Microservices Architecture
• Experience with Azure (AKS, Functions, Azure DevOps)
• Strong knowledge of microservices and event-driven architecture
• Familiarity with CI/CD, cloud security, and scalable deployment patterns