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 documentation

• Apply AI across the SDLC, including requirements refinement, architecture design, and automated solution generation

• Use AI for code generation, refactoring, and performance optimization while maintaining security and scalability standards

• Implement 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 analysis

• Drive 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 microservices

• Familiarity with Azure AI services (Azure OpenAI, Cognitive Services, ML.NET, Semantic Kernel)

• Understanding of prompt engineering, embeddings, and AI-driven architecture patterns

• Experience 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 systems

• Knowledge of CQRS, Event Sourcing

• Familiarity with Domain-Driven Design (DDD)

• Experience with API Gateway patterns (Azure API Management, Ocelot)

• Understanding of event-driven architecture (Azure Service Bus, RabbitMQ, Kafka)