Sr. .NET Developer

LTD Global
Pineville, NC, United States
16 days ago
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Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Experience required
10 years minimum
Working hours
Regular working hours

Tech stack

.NET Framework Application Programming Interfaces (APIs) Artificial Intelligence Amazon Web Services Amazon S3 C Sharp (Programming Language) Code Review DevOps Microsoft SQL Server Performance Tuning Cloud Services Software Engineering
+16 more
Enterprise Software Applications .NET Core Spring Cloud 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

Job description

  • Design, develop, and maintain scalable enterprise applications using .NET Core and Angular
  • Build and enhance cloud-native applications on AWS
  • Develop reusable APIs and microservices architecture
  • Collaborate with cross-functional teams including Product Owners, QA, and Architects
  • Integrate AI/GenAI-based tools to improve engineering productivity and automation
  • Participate in code reviews, performance tuning, and production support
  • Ensure best practices for security, scalability, and maintainability
  • Mentor junior developers and support technical decision-making

Requirements

  • 10+ years of overall software development experience
  • Strong hands-on experience in Angular and modern UI development
  • Exposure to AI copilots, Agentic AI frameworks, or LLM-based integrations
  • Strong experience with .NET Core / ASP.NET Core
  • Expertise in C#
  • Experience with AWS Cloud Services (Lambda, ECS/EKS, S3, API Gateway, CloudWatch, etc.)
  • Strong frontend development experience using Angular
  • Experience in designing and developing REST APIs / 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

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