.Net Technical Lead/Architect
Listed on 2026-07-09
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Software Development
AWS, Backend Developer, Cloud Engineer - Software, Software 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 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:
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 Dev Ops 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.
- 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.
- Dev Ops experience with CI/CD pipelines, Docker, Kubernetes/EKS.
- Testing tools: xUnit, NUnit, Moq, Testcontainers.
- Strong understanding of architectural patterns (DDD, Clean Architecture).
- AWS certification (Solutions Architect / Developer / Dev Ops).
- Experience in large‑scale enterprise modernization programs.
- Strong communication and stakeholder leadership.
- 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 (Open Search, Pinecone, Redis Vector).
- Awareness of AWS Bedrock services and foundational models (Claude, Llama, Titan).
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