R
Senior .Net Full Stack Cloud & AI Engineer
Radiant Systems Inc
5 hours ago
Full-time
On-site
Las Vegas, Nevada, United States
Focus: Cloud Engineering | Full-Stack Development | AI-Driven Applications
Job Overview We are looking for an experienced Senior Full Stack Cloud Engineer – IT to design, develop, and deliver modern enterprise applications, cloud solutions, API integrations, and AI-powered applications. The ideal candidate should have strong hands-on experience with .NET, C#, Python, React.js or Blazor, Microsoft Azure, and Google Cloud Platform (GCP). The candidate will be responsible for application development, cloud engineering, AI integration, technical design, and providing technical leadership to development teams. Key Responsibilities Design, develop, and maintain enterprise applications using .NET, C#, ASP.NET Core, and Python. Build responsive web applications using React.js and/or Blazor. Develop REST APIs, microservices, and enterprise integrations. Build AI-powered applications using Generative AI, LLMs, RAG, prompt engineering, embeddings, and AI agents. Design, deploy, and manage cloud-based applications using Microsoft Azure and Google Cloud Platform (GCP). Work with Azure App Services, Azure SQL, Azure DevOps, and GCP BigQuery. Develop and maintain secure, scalable APIs using Apigee or similar API management platforms. Implement CI/CD pipelines and follow software development best practices. Troubleshoot application, cloud, integration, and performance issues. Conduct code reviews, guide developers, and contribute to architecture and technical decisions. Ensure application security, scalability, reliability, and performance. Required Skills Strong experience with .NET, C#, and ASP.NET Core. Hands-on Python development experience. Experience with React.js and/or Blazor. Strong cloud engineering experience with
Microsoft Azure and GCP . Experience with Azure App Services, Azure SQL, Azure DevOps, and GCP BigQuery. Strong REST API development and integration experience. Practical experience developing AI/GenAI-powered applications. Knowledge of LLMs, RAG, prompt engineering, embeddings, vector search, and AI agents. Experience with Apigee or equivalent API management tools. Knowledge of CI/CD, SDLC, SOLID principles, and software design patterns. Strong communication, problem-solving, and technical leadership skills. Important Technology Requirement Both Microsoft Azure and Google Cloud Platform (GCP) experience are required. AWS experience is not applicable to this role.
Job Overview We are looking for an experienced Senior Full Stack Cloud Engineer – IT to design, develop, and deliver modern enterprise applications, cloud solutions, API integrations, and AI-powered applications. The ideal candidate should have strong hands-on experience with .NET, C#, Python, React.js or Blazor, Microsoft Azure, and Google Cloud Platform (GCP). The candidate will be responsible for application development, cloud engineering, AI integration, technical design, and providing technical leadership to development teams. Key Responsibilities Design, develop, and maintain enterprise applications using .NET, C#, ASP.NET Core, and Python. Build responsive web applications using React.js and/or Blazor. Develop REST APIs, microservices, and enterprise integrations. Build AI-powered applications using Generative AI, LLMs, RAG, prompt engineering, embeddings, and AI agents. Design, deploy, and manage cloud-based applications using Microsoft Azure and Google Cloud Platform (GCP). Work with Azure App Services, Azure SQL, Azure DevOps, and GCP BigQuery. Develop and maintain secure, scalable APIs using Apigee or similar API management platforms. Implement CI/CD pipelines and follow software development best practices. Troubleshoot application, cloud, integration, and performance issues. Conduct code reviews, guide developers, and contribute to architecture and technical decisions. Ensure application security, scalability, reliability, and performance. Required Skills Strong experience with .NET, C#, and ASP.NET Core. Hands-on Python development experience. Experience with React.js and/or Blazor. Strong cloud engineering experience with
Microsoft Azure and GCP . Experience with Azure App Services, Azure SQL, Azure DevOps, and GCP BigQuery. Strong REST API development and integration experience. Practical experience developing AI/GenAI-powered applications. Knowledge of LLMs, RAG, prompt engineering, embeddings, vector search, and AI agents. Experience with Apigee or equivalent API management tools. Knowledge of CI/CD, SDLC, SOLID principles, and software design patterns. Strong communication, problem-solving, and technical leadership skills. Important Technology Requirement Both Microsoft Azure and Google Cloud Platform (GCP) experience are required. AWS experience is not applicable to this role.