More jobs:
.Net Technical Lead/Architect
Job in
Rock Hill, York County, South Carolina, 29732, USA
Listed on 2026-02-12
Listing for:
Qode
Full Time
position Listed on 2026-02-12
Job specializations:
-
Software Development
Cloud Engineer - Software, DevOps
Job Description & How to Apply Below
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, Dynamo
DB, Glue, RDS Postgre
SQL. - 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, Dynamo
DB). - Strong database skills: SQL Server, Postgre
SQL, Dynamo
DB, 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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