.Net Developer / Production Support (Permanent)

We are seeking a skilled and motivated Mid-Level .NET Developer with strong experience in Microsoft technologies, cloud development, enterprise integrations, database design, DevOps practices, and AI-powered application development.
The ideal candidate will have hands-on expertise in C#, .NET Core, ASP.NET Core, Azure Cloud Services, SQL Server, API integrations, and Azure DevOps, along with exposure to Large Language Models (LLMs) and Generative AI technologies. The successful candidate will contribute to building scalable, secure, and high-performing enterprise applications while supporting cloud modernization and AI initiatives.
Key Responsibilities
Design, develop, test, deploy, and maintain enterprise applications using C#, .NET Core, ASP.NET Core, MVC, and Web APIs.
Build and consume RESTful APIs and integrate applications with internal and external systems.
Design and develop cloud-native solutions leveraging Microsoft Azure services.
Develop serverless applications using Azure Functions and other Azure platform services.
Design and implement enterprise integration solutions using APIs, messaging services, and microservices architecture.
Develop, optimize, and maintain databases, stored procedures, functions, and queries.
Collaborate with cross-functional teams on architecture, development, testing, and deployment activities.
Build and maintain CI/CD pipelines using Azure DevOps.
Perform code reviews, debugging, troubleshooting, and production support activities.
Follow software engineering best practices including SOLID principles, design patterns, and secure coding standards.
Participate actively in Agile/Scrum ceremonies and sprint delivery activities.
Design and develop AI-enabled solutions using Azure OpenAI and other LLM technologies.
Required Technical Skills
Microsoft Development Technologies
Strong experience with:
C#
.NET Core / .NET 6+
ASP.NET Core
ASP.NET MVC
Entity Framework
LINQ
Web APIs
Solid understanding of:
Object-Oriented Programming (OOP)
SOLID Principles
Design Patterns
Dependency Injection
Clean Architecture
Azure Cloud Technologies
Hands-on experience with:
Azure App Services
Azure Functions
Azure Key Vault
Azure Storage Accounts
Azure Service Bus
Azure SQL Database
Azure Cosmos DB
Application Insights
Azure Monitor
Experience in:
Cloud-native application development
Serverless architecture
Cloud security and access management
API management and integrations
Database Technologies
Strong database development experience in:
Microsoft SQL Server
Azure SQL Database
Azure Cosmos DB
Capabilities should include:
Database design and modelling
Stored Procedures
Functions and Views
Query optimization
Performance tuning
Data migration and maintenance
Relational and NoSQL database concepts
Integration Experience
Experience designing and developing enterprise integrations.
Strong understanding of REST APIs and web services.
Experience integrating third-party platforms and business applications.
Exposure to:
Azure Service Bus
Event-driven architecture
Microservices architecture
API security and authentication
Experience using tools such as Postman for API testing and troubleshooting.
DevOps & CI/CD
Hands-on experience with:
Azure DevOps
Git
CI/CD pipeline implementation
Automated build and deployment processes
Release management
Infrastructure deployment support
Source control and branching strategies
Application monitoring and logging
Exposure to:
Containerization technologies (Docker/Kubernetes is an advantage)
DevSecOps practices
Automation and deployment scripting
AI / LLM Technologies
Required experience in one or more of the following:
Azure OpenAI Service
OpenAI GPT
Other enterprise-grade LLM platforms
Key competencies include:
Integration of LLM APIs within .NET applications
Prompt Engineering techniques
Retrieval-Augmented Generation (RAG)
AI-powered chatbot development
Semantic Search and Vector Search concepts
Embeddings and Knowledge Retrieval solutions
AI workflow automation
Responsible AI and security considerations
Experience with the following technologies is highly desirable:
Azure AI Studio
Azure AI Search (Cognitive Search)
Azure AI Document Intelligence
Azure Machine Learning
Semantic Kernel
LangChain
LangGraph
Vector Databases

Work arrangement
Hybrid