Senior .Net Full Stack Cloud & AI Engineer

Radiant Systems Inc; Las Vegas (NV); On-site; USD 120,000 - 180,000; Full time

Job summary

Radiant Systems Inc. is seeking a Senior Full Stack Cloud Engineer to design, develop, and deliver enterprise applications, cloud solutions, API integrations, and AI-powered software.

The role emphasizes hands-on expertise in .NET/C#, Python, React.js or Blazor, and the Azure/GCP cloud stack, with leadership in architecture, API design, and deployment best practices.

Qualifications

• Experience with .NET, C#, ASP.NET Core
• Frontend development with React.js and/or Blazor
• Cloud engineering with Azure and GCP required
• Experience with Azure App Services, Azure SQL, Azure DevOps, and GCP BigQuery
• REST API development and integration
• Hands-on AI/GenAI-powered apps development
• Knowledge of LLMs, RAG, embeddings, prompt engineering, vector search, and AI agents
• Experience with API management tools (e.g., Apigee)
• Strong CI/CD, SDLC, SOLID principles, and design patterns
• Excellent communication and technical leadership skills

Responsibilities

• Design, develop, and maintain enterprise apps using .NET/C#/ASP.NET Core and Python.
• Build responsive web apps with React.js and/or Blazor.
• Develop REST APIs, microservices, and enterprise integrations.
• Create AI-powered apps using Generative AI, LLMs, RAG, embeddings, and AI agents.
• Design, deploy, and manage cloud-based apps on Azure and GCP.
• Work with Azure App Services, Azure SQL, Azure DevOps, and GCP BigQuery.
• Develop secure, scalable APIs using API management platforms (e.g., Apigee).
• Implement CI/CD pipelines and best practices across teams.
• Troubleshoot app, cloud, and performance issues; conduct code reviews and guide developers.
• Contribute to architecture decisions and ensure security, reliability, and performance.

Skills

NET/C#

ASP.NET Core

React.js/Blazor

Azure

GCP

REST APIs

AI/GenAI

LLMs/RAG/prompt engineering

APIGEE/API mgmt

CI/CD

SDLC/SOLID

Technical leadership

Job 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.
• 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.