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Qode

.Net Technical Lead/Architect

full-time

AI overview

Lead cloud-native development and application migration on AWS while defining robust architectures for scalable microservices and guiding teams through modernization efforts.
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).

 Qode

Qode is dedicated to helping technical talent around the world find meaningful careers that match their skills and interests. Our platform provides a range of resources and tools that empower job seekers to take control of their careers and connect with top employers across a variety of industries. We believe that every individual deserves to find work that they're passionate about, and we are committed to making that vision a reality.Qode's team of experienced professionals is passionate about creating a better world of work by providing innovative solutions that improve the job search process for both job seekers and employers. We believe in transparency, trust, and collaboration, and we strive to build strong relationships with our customers and partners. Through our platform, we aim to create a more engaged and fulfilled global workforce that drives innovation and growth.

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