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Mid-level Azure cloud role, Pune metro, broad full-stack and AI requirements at a recognized brand increases competition.
Role requires Azure-specific cloud, .NET, and Azure AI expertise, making cross-industry transfer limited.
Explicit 4-year requirement plus many mandatory Azure, .NET, IaC and DevOps skills increases shortlisting strictness.
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Design, build, test, deploy, and support end-to-end AI-first, cloud-enabled solutions on Microsoft Azure utilizing pro-code languages, Azure AI capabilities, and DevOps practices.
Develop and maintain Azure-based applications and services using C#, .NET Core, Python, JavaScript/TypeScript, Azure components (App Service, Functions, AKS, Cosmos DB, Azure SQL), and event-driven architectures.
Implement CI/CD pipelines, Infrastructure as Code, monitoring, and AI-integration features, applying Azure Well-Architected Framework principles for scalable, secure, and maintainable solutions.
4 years of experience in software engineering and Azure-based solution development required.
Mandatory skills include C#, .NET Core, ASP.NET Core, EF Core, Python scripting, JavaScript/TypeScript, Azure App Service, Azure Functions, AKS/Container Apps, Azure SQL or Cosmos DB, Azure Service Bus, Azure DevOps or GitHub Actions.
Experience with Infrastructure as Code tools (Bicep and/or Terraform), Docker, PowerShell, Azure CLI scripting, and familiarity with Azure AI Services and Generative AI concepts.
Work Experience Required: 4 years; Notice Period: Not explicitly mentioned in the JD.
Experienced Azure solution engineer comfortable with pro-code development across backend (C#, Python), frontend (JavaScript/TypeScript), and cloud-native architecture patterns (microservices, serverless, event-driven).
Demonstrates practical knowledge integrating AI capabilities including Azure AI Services, Azure OpenAI, Generative AI, and use of AI-assisted developer tools like GitHub Copilot.
Capable of implementing DevOps practices, Infrastructure as Code, containerization, and monitoring in distributed team environments with strong emphasis on engineering quality, scalability, and security.