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# AWS Developer

- **Company:** QTech US, Inc
- **Location:** Fort Mill, SC, United States
- **Experience:** Experienced
- **Contract:** Permanent contract
- **Skills:** ASP.NET, .NET Framework, Amazon Web Services, Amazon S3, C Sharp (Programming Language), Cloud Computing, DevOps, Microsoft SQL Server, Cloud Services, Software Engineering, Systems Integration, Web Application Frameworks, Enterprise Software Applications, .NET Core, Delivery Pipeline, Large Language Models, Database Optimization, Agentic-AI, Git, AngularJS, Solid Principles, Front End Software Development, Cloudwatch, Api Gateway, Restful APIs, AI Co-pilot, Microservices
- **Published:** September 30, 2026
- **Apply:** https://www.dice.com/job-detail/8cbd6adc-1208-4f26-81c2-b583b12e918a

## About the Role

Strong experience with .NET Core / ASP.NET Core.
Expertise in C#.
Experience with AWS Cloud Services, including Lambda, ECS/EKS, S3, API Gateway, CloudWatch, etc.
Strong frontend development experience using Angular.
Experience designing and developing REST APIs and microservices.
Hands-on experience with SQL Server and database optimization.
Knowledge of CI/CD pipelines, DevOps practices, and Git.
Experience with Agentic AI tools, AI-assisted development platforms, or GenAI-based engineering solutions.
Strong understanding of software design principles and scalable architecture.
Excellent communication and stakeholder management skills.
Preferred Skills:
4+ years of overall software development experience.
Strong hands-on experience with Angular and modern UI development.
Exposure to AI copilots, Agentic AI frameworks, or LLM-based integrations.
AWS or Microsoft certifications are preferred.

## Description

We are looking for a motivated .NET Developer with hands on experience in enterprise application development, cloud technologies, and modern frontend frameworks. This role involves designing, developing, and maintaining scalable applications while collaborating with cross-functional teams. The candidate will also leverage AI-assisted development tools and emerging GenAI technologies to improve engineering productivity and automation.


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