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Lead .NET Full Stack Engineer

bright vision technologies·US·United States·senior
javascriptc#.netawsazure
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Lead .NET Full Stack Engineer – Remote Bright Vision Technologies is a technology consulting and software development company delivering cloud, AI, data, and enterprise solutions across the United States. This is a fantastic opportunity to join an established and well-respected organization offering tremendous career growth potential. Job Title: Lead .NET Full Stack Engineer Location: 100% Remote (U.S.) Position Type: Full-time, Direct W2 Salary Range: $100,000–$150,000 Annually Experience Required: 6+ years Sponsorship: U.S. Citizens, Green Card Holders, EAD Holders, and H-1B transfer candidates are encouraged to apply. We are unable to sponsor new H-1B visa petitions for this position. Job Summary We are seeking an experienced Lead .NET Full Stack Engineer to design, build, and maintain enterprise-grade web applications and distributed systems built on Microsoft technology stacks. This role spans the full engineering lifecycle — requirements analysis, architectural design, hands-on implementation, code review, deployment, and post-release support — with particular emphasis on building scalable APIs, responsive front-end applications, and cloud-integrated services. The ideal candidate will combine strong backend expertise in C# and .NET Core with hands-on experience developing modern front-end applications using JavaScript frameworks, and will be comfortable deploying solutions into Azure or AWS environments while maintaining high standards of code quality, security, observability, and operational reliability. Key Responsibilities Provide comprehensive end-to-end design, development, and advanced technical troubleshooting for enterprise-level web applications, from initial discovery through long-term operational ownership. Develop secure, high-performance backend services using .NET Core and ASP.NET Web API, applying strong object-oriented design, clean architecture principles, and proven enterprise patterns. Design and implement scalable architecture patterns — in

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