Sr .Net Developer/Lead

We are looking for a Senior .NET Developer who thrives in a microservices environment and is passionate about clean architecture, performance, and payment technology—while leveraging AI to accelerate end-to-end software delivery. Role Overview As a Senior .NET Developer, you will design, build, and maintain core backend services powering Client's payment platform. You will collaborate closely with architects, product managers, and cross-functional teams to deliver reliable, secure, and high-performance APIs and microservices. You will leverage AI-driven tools and practices across the full software development lifecycle (SDLC)—from requirements analysis and architecture design to development, testing, deployment, and production optimization. Key Responsibilities Design and develop robust RESTful and gRPC APIs using ASP.NET Core (.NET 8 / .NET 9) Build and maintain event-driven microservices deployed on Azure Kubernetes Service (AKS) Implement CQRS and Domain-Driven Design (DDD) patterns across core payment services Integrate with payment gateways, banking APIs, and third-party financial services Ensure PCI-DSS compliance and follow OWASP security best practices Write high-quality unit, integration, and contract tests Optimize SQL queries and Entity Framework Core performance for high throughput Work within CI/CD pipelines using Azure DevOps and GitHub Actions Conduct code reviews and mentor developers AI-Driven SDLC & Solution Engineering Leverage AI tools (GitHub Copilot, Azure OpenAI) to accelerate development, debugging, and documentationApply AI across the SDLC, including requirements refinement, architecture design, and automated solution generationUse AI for code generation, refactoring, and performance optimization while maintaining security and scalability standardsImplement AI-driven testing (automated test case generation, synthetic data, and defect detection)Build AI-enabled backend services (semantic search, conversational APIs, document intelligence)Use AI for system observability, anomaly detection, and production incident analysisDrive end-to-end AI-assisted solution development—from ideation through deployment and continuous improvement Required Qualifications AI & Intelligent Systems Experience leveraging AI across the full SDLC (design, build, test, deploy, operate)Hands-on experience integrating AI/ML capabilities into .NET applications and microservicesFamiliarity with Azure AI services (Azure OpenAI, Cognitive Services, ML.NET, Semantic Kernel)Understanding of prompt engineering, embeddings, and AI-driven architecture patternsExperience using AI to improve developer productivity, automate testing, and enhance system observability Core .NET Skills 6+ years of professional software development experience 4+ years hands-on with C# / .NET Core Expertise in ASP.NET Core Web API Strong understanding of async programming, LINQ, and .NET runtime Experience with Entity Framework Core and Dapper Architecture & Patterns Experience building microservices or distributed systemsKnowledge of CQRS, Event SourcingFamiliarity with Domain-Driven Design (DDD)Experience with API Gateway patterns (Azure API Management, Ocelot)Understanding of event-driven architecture (Azure Service Bus, RabbitMQ, Kafka)