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Mid-level Azure cloud role, popular title and Pune metro increases competition.
Azure, .NET and AI skills are transferable but cloud/Azure specialization increases domain bias.
Explicit 5–8 years plus mandatory Azure, .NET, IaC, and AI experience enforces strict filters.
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Design, build, test, deploy, and support end-to-end AI-first, cloud-enabled solutions on Microsoft Azure using C#, Python, JavaScript/TypeScript, and Azure scripting.
Develop and integrate scalable, secure Azure services, APIs, microservices, and data solutions with AI capabilities including Azure AI Services and Generative AI.
Implement CI/CD pipelines, containerization, infrastructure as code, monitoring, and DevOps practices to maintain solution quality and enable AI-assisted development with Copilot and related tools.
5-8 years of experience in software engineering with Azure-based solution development.
Strong proficiency in C#, .NET Core, ASP.NET Core, EF Core, Python, JavaScript/TypeScript, Azure DevOps or GitHub Actions, and cloud-native architecture patterns.
Hands-on experience with Azure services including Azure App Service, Azure Functions, AKS/Container Apps, Azure SQL/Cosmos DB, Azure Service Bus, and scripting with PowerShell and Azure CLI.
Experience with Infrastructure as Code (Bicep and/or Terraform), containerization (Docker), and familiarity with Azure AI Services, Azure OpenAI, Generative AI concepts, and AI SDK integrations.
Experienced Azure solution engineer with strong pro-code engineering skills and ability to deliver scalable, maintainable AI-enabled cloud solutions with modern frameworks and architectures.
Capable of integrating AI and Generative AI capabilities into applications, applying security, Responsible AI principles, and leveraging AI-assisted development tools like GitHub Copilot.
Comfortable working collaboratively in distributed teams with a consulting mindset, focused on engineering excellence, continuous learning, and problem-solving within complex, cloud-native environments.