Senior .Net Full Stack Cloud & AI Engineer

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.