.Net Technical Lead / Architect

About the Company Incedo is a global AI and data transformation specialist empowering companies to realize sustainable business impact from their digital investments by delivering ROI from AI@Scale. As a long-term partner for strategy to execution, we operate at the intersection of business and technology. Our integrated services and platforms are built on the foundation of AI & Data, digital engineering, and operations transformation, bringing deep domain expertise and full stack capabilities together. With over 4,000 people in the US, Canada, Latin America and India and a large, diverse portfolio of Fortune 500 enterprises and fast-growing clients worldwide, we work across banking & payments, wealth management, telecom, hi-tech and life sciences. Please visit the link to know about Incedo: https://www.incedoinc.com/ Role: .Net Technical Lead / Architect Job Overview Looking for an experienced .NET Architect to lead application migration, modernization, and cloud-native development on AWS. Must have strong hands-on expertise in C#, .NET Core, microservices, and AWS services, with the ability to guide teams and define end-to-end architecture. Key Responsibilities Architect and lead migration of .NET applications to AWS Landing Zones (lift & shift + modernization). Break monolithic .NET apps into scalable microservices using .NET Core/.NET 6+. Design cloud-native solutions using AWS services: Lambda, API Gateway, SQS, SNS, Step Functions, S3, DynamoDB, Glue, RDS PostgreSQL. Provide architectural guidance, solution design, and technical leadership. Enable DevOps automation using CI/CD, Docker, Kubernetes/EKS, IaC. Ensure scalability, security, resiliency, and cost optimization across AWS workloads. Drive engineering best practices, code reviews, and quality frameworks. Required Skills 12+ years in C#, .NET Framework, .NET Core/.NET 6/7/8. Strong in microservices, REST APIs, event-driven systems. Experience modernizing legacy .NET apps to .NET Core. Hands-on with AWS (Lambda, SQS, SNS, Step Functions, S3, RDS, DynamoDB). Strong database skills: SQL Server, PostgreSQL, DynamoDB, Redis. DevOps experience with CI/CD pipelines, Docker, Kubernetes/EKS. Testing tools: xUnit, NUnit, Moq, Testcontainers. Strong understanding of architectural patterns (DDD, Clean Architecture). Preferred AWS certification (Solutions Architect / Developer / DevOps). Experience in large-scale enterprise modernization programs. Strong communication and stakeholder leadership. Nice-to-Have Skills Exposure to Generative AI concepts (LLMs, embeddings, simple RAG patterns). Basic understanding of prompt engineering and LLM integration. Familiarity with Agentic AI concepts (AI agents, workflow automation). Some experience with vector databases (OpenSearch, Pinecone, Redis Vector). Awareness of AWS Bedrock services and foundational models (Claude, Llama, Titan).