Radiant Systems Inc

Compensation

Full Description

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.