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Strong employer brand, mid-level experience band, metro location, and broad Azure/Fullstack requirements increase competition.
Microsoft Azure, .NET, TypeScript and LLM skills transfer across industries, though MS-stack consulting bias exists.
Explicit years plus mandatory Azure, fullstack, and specific language/AKS requirements make filters stringent.
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Develop and deploy Microsoft Azure full stack applications integrated with Azure AI and Cognitive Services, focusing on enterprise app migration to microservices and data migration.
Manage Azure Kubernetes Service (AKS) environments and Azure DevOps CI/CD pipelines to ensure smooth software deployment and operational efficiency.
Collaborate across teams to prioritize and deliver AI-enabled applications leveraging Large Language Models, Microsoft Teams integration, and Azure data platforms.
3-7 years of experience with Microsoft Azure AI Services, Azure App Development, and Azure Kubernetes Services (AKS).
Proficiency in TypeScript, C#, and Microsoft .NET framework with experience integrating AI solutions with Microsoft Teams and Microsoft Graph API.
Bachelor's degree in Engineering (B.E./B.Tech) or MBA from a full-time regular course with no backlog extensions.
Experience with AI frameworks such as Lang-Chain, Semantic Kernel, Py-Torch, Scikit-learn, and Azure Cognitive Services (including Azure Machine Learning and Bot Services).
Strong expertise in designing and deploying scalable AI and microservice architectures on Microsoft Azure cloud ecosystem.
Hands-on experience in data preprocessing, feature engineering, and handling structured/unstructured data using Azure Data Factory and SQL Database.
A technically adept, cross-functional collaborator who can manage AI model deployment and integrations with Microsoft Teams and MS Graph API in fast-paced environments.