Senior .Net Full Stack Cloud & AI Engineer
Radiant Systems Inc
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.
$97.22k - $145.83k
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