Title- Software Engineer
Location - Redmond WA (Open for WFH -Need to work in PST time zone)
Primary Skills:
Full Stack (C# TypeScript or JavaScript and Python)
Azure Services
Azure OpenAI and Cognitive Services
MCP framework
Microsoft ecosystem experience
Playwright JMeter Postman and REST API testing
Good to Have:
Proficient in Microsoft Copilot extensibility Semantic Kernel (including planner memory and connectors) and prompt orchestration
DevOps & CI/CD: Knowledgeable in Azure DevOps GitHub Actions and Bicep for continuous integration and deployment
GitHub Copilot
Need skill matrix and add below the profile
| kill sets reviewed (All Rating are out of 5) | Associate Name |
| C# Microsoft Full Stack | |
| Azure OpenAI Service (prompt engineering and integration with enterprise workflows) Or any AI | |
| Hands-on experience in secure deployment and scalability best practices for enterprise AI workloads | |
| MCP (model context protocol) Framework experience | |
| Microsoft Project & Ecosystem Expertise | |
| Playwright JMeter Postman and REST API testing | |
| DevOps & CI/CD | |
| C# Microsoft Full Stack Can you describe a full stack application you developed using C# including how you structured the backend and frontend layers for scalability and maintainability Azure AI Foundry & MLOps Tell me about a project where you developed and deployed models using Azure AI Foundry and how you applied MLOps practices to ensure reliability and automation. Azure OpenAI Service & Enterprise Workflows How have you used Azure OpenAI Service for prompt engineering and what approaches did you take to integrate it into enterprise workflows Secure Deployment & Scalability What steps have you taken to ensure secure deployment and scalability of enterprise AI workloads and can you share a specific example of how you applied best practices MCP Framework What is your experience with the Model Context Protocol (MCP) framework Testing & Tools Can you explain how you have used Playwright JMeter or Postman to test REST APIs and what strategies you followed to validate performance and reliability DevOps & CI/CD How have you implemented CI/CD pipelines for enterprise applications and what tools or practices did you use to support automated builds testing and deployments | |
Title- Software Engineer Location - Redmond WA (Open for WFH -Need to work in PST time zone) Primary Skills: Full Stack (C# TypeScript or JavaScript and Python) Azure Services Azure OpenAI and Cognitive Services MCP framework Microsoft ecosystem experience Playwright J...
Title- Software Engineer
Location - Redmond WA (Open for WFH -Need to work in PST time zone)
Primary Skills:
Full Stack (C# TypeScript or JavaScript and Python)
Azure Services
Azure OpenAI and Cognitive Services
MCP framework
Microsoft ecosystem experience
Playwright JMeter Postman and REST API testing
Good to Have:
Proficient in Microsoft Copilot extensibility Semantic Kernel (including planner memory and connectors) and prompt orchestration
DevOps & CI/CD: Knowledgeable in Azure DevOps GitHub Actions and Bicep for continuous integration and deployment
GitHub Copilot
Need skill matrix and add below the profile
| kill sets reviewed (All Rating are out of 5) | Associate Name |
| C# Microsoft Full Stack | |
| Azure OpenAI Service (prompt engineering and integration with enterprise workflows) Or any AI | |
| Hands-on experience in secure deployment and scalability best practices for enterprise AI workloads | |
| MCP (model context protocol) Framework experience | |
| Microsoft Project & Ecosystem Expertise | |
| Playwright JMeter Postman and REST API testing | |
| DevOps & CI/CD | |
| C# Microsoft Full Stack Can you describe a full stack application you developed using C# including how you structured the backend and frontend layers for scalability and maintainability Azure AI Foundry & MLOps Tell me about a project where you developed and deployed models using Azure AI Foundry and how you applied MLOps practices to ensure reliability and automation. Azure OpenAI Service & Enterprise Workflows How have you used Azure OpenAI Service for prompt engineering and what approaches did you take to integrate it into enterprise workflows Secure Deployment & Scalability What steps have you taken to ensure secure deployment and scalability of enterprise AI workloads and can you share a specific example of how you applied best practices MCP Framework What is your experience with the Model Context Protocol (MCP) framework Testing & Tools Can you explain how you have used Playwright JMeter or Postman to test REST APIs and what strategies you followed to validate performance and reliability DevOps & CI/CD How have you implemented CI/CD pipelines for enterprise applications and what tools or practices did you use to support automated builds testing and deployments | |
View more
View less