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Generic mid-level software title, 4-year band, metro role and known global brand increase competition density.
Azure-specific cloud, .NET and AI experience is transferable but favors cloud-platform backgrounds.
Explicit 4-year requirement plus mandatory Azure, .NET, IaC, DevOps and AI skills increases filtering strictness.
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Design, build, test, deploy, and support end-to-end AI-first, cloud-enabled solutions on Microsoft Azure using pro-code, DevOps, and Azure AI capabilities.
Develop Azure-based applications and services using C#, .NET Core, Python, JavaScript/TypeScript, integrating Azure services including AI, containerization, and data solutions for scalability and performance.
Implement and maintain CI/CD pipelines, infrastructure as code, monitoring, and AI-assisted development tools to ensure quality, reliability, and efficient delivery of Azure solutions.
Minimum 4 years of experience in software engineering with Azure-based solution development.
Strong proficiency in C#, .NET Core, ASP.NET Core, EF Core; practical Python experience for Azure automation or AI workloads; JavaScript/TypeScript frontend experience.
Hands-on experience with Azure services (App Service, Functions, AKS/Container Apps, SQL/Cosmos DB, Service Bus), DevOps tools (Azure DevOps/GitHub Actions), and scripting (PowerShell, Azure CLI).
Working knowledge of Infrastructure as Code (Bicep and/or Terraform), containerization (Docker), and familiarity with Azure AI Services and Generative AI concepts.
Experienced in developing scalable, secure, cloud-native applications on Azure incorporating AI and automation with a pro-code engineering mindset.
Comfortable working within cross-functional teams alongside architects, emphasizing engineering best practices and continuous delivery using DevOps methodologies.
Familiar with AI-assisted development tools like GitHub Copilot and motivated to leverage emerging AI technologies for enhanced productivity and solution innovation.