Required Skills: .NET, C#, .NET Core, AWS, ASP.net, ECS, EC2, S3, Dynamo, Lambda, SQS, SNS, Postgres, MongoDB, DynamoDB, Step functions, SQL Server, MS SQL, CI/CD, Docker, Kubernetes, Jenkins, MVC, WPF, WCF, Visual Studios

Job Description

Job Overview

Looking for an experienced .NET Lead/Consultant/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).