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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Azure Technical Lead - **Company:** The Hire - **Location:** New York, NY, United States - **Experience:** Expert - **Contract:** Permanent contract - **Skills:** Java (Programming Language), .NET Framework, Application Programming Interfaces (APIs), Artificial Intelligence, Microsoft Azure, Business Systems, C Sharp (Programming Language), Computer Programming, Continuous Integration, DevOps, Github, Python (Programming Language), Key Management, Node.Js, Role-Based Access Control, Azure Active Directory, Search Technologies, Software Deployment, Software Engineering, TypeScript, Large Language Models, Generative AI, Kubernetes, Bicep, Data Management, Terraform, Software Version Control, Serverless Computing, Azure Resource Manager, Docker, Key Vault, Vulnerability Analysis - **Published:** August 25, 2026 - **Apply:** https://www.dice.com/job-detail/3bcc98f4-8a85-4f8a-b660-1403e426309c ## About the Role Must Have * Strong hands-on Azure Cloud Infrastructure / Platform Engineering * Strong Azure DevOps / DevOps / CI/CD experience * Terraform, Bicep, or ARM * AKS / Kubernetes / Docker * Azure networking, VNets, private endpoints * Microsoft Entra ID, RBAC, Managed Identity, Key Vault * Azure monitoring and production support * Azure OpenAI / Azure AI * GenAI / LLM / RAG * Azure AI Search * Azure AI Foundry/Studio * Azure AI Document Intelligence * Strong programming experience in Python, .NET/C#, Java, or Node.js/TypeScript ## Description We are looking for a hands-on Azure Technical Lead with strong expertise across Azure Cloud Infrastructure, Platform Engineering, DevOps, and AI/GenAI application development. The ideal candidate will be responsible for designing, developing, deploying, and supporting enterprise-grade AI solutions on Azure. This role requires someone who can bridge AI application development with Azure cloud infrastructure, security, DevOps, and production operations., Azure Cloud & Platform Engineering * Design and implement scalable, secure Azure cloud architectures for AI workloads. * Build and manage Azure infrastructure and platform services supporting enterprise AI applications. * Deploy applications using AKS, Azure App Service, Azure Functions, and Azure Container Apps. * Design Azure networking using VNets, private endpoints, network isolation, and related security controls. * Implement Microsoft Entra ID, RBAC, managed identities, Key Vault, encryption, and secrets management. AI / GenAI Development * Develop and productionize AI/GenAI applications using Azure OpenAI, Azure AI Foundry/Studio, Azure AI Search, and Azure AI Document Intelligence. * Design and implement RAG pipelines, prompt orchestration, vector search, and LLM-based solutions. * Develop AI applications using Python, .NET/C#, Java, or Node.js/TypeScript. * Integrate AI solutions with enterprise APIs, applications, data platforms, and business systems. DevOps & Infrastructure as Code * Build and manage CI/CD pipelines using Azure DevOps or GitHub Actions. * Automate application, infrastructure, configuration, prompt, and model deployments. * Provision Azure resources using Terraform, Bicep, or ARM templates. * Establish deployment standards, automation, version control, testing, security scanning, and release governance. ## Related Videos - [Shipping Faster with Less: Render on Cloud Hosting, AI Workloads, and the Future of DevOps](https://www.wearedevelopers.com/videos/1894-shipping-faster-with-less-render-on-cloud-hosting-ai-workloads-and-the-future-of-devops) - [Innovating Developer Tools with AI: Insights from GitHub Next](https://www.wearedevelopers.com/videos/1268-innovating-developer-tools-with-ai-insights-from-github-next) - [Back(end) to the Future: Embracing the continuous Evolution of Infrastructure and Code](https://www.wearedevelopers.com/videos/440-back-end-to-the-future-embracing-the-continuous-evolution-of-infrastructure-and-code) - [Docker Compose: Rediscovered](https://www.wearedevelopers.com/videos/1978-docker-compose-rediscovered) - [Agentic AI - From Theory to Practice: Developing Multi-Agent AI Systems on Azure](https://www.wearedevelopers.com/videos/1532-agentic-ai-from-theory-to-practice-developing-multi-agent-ai-systems-on-azure) - [Bringing AI Model Testing and Prompt Management to Your Codebase with GitHub Models](https://www.wearedevelopers.com/videos/1536-bringing-ai-model-testing-and-prompt-management-to-your-codebase-with-github-models) ## Related Articles - [What Are The Top Skills Required For Azure Developers?](https://www.wearedevelopers.com/magazine/77-what-are-the-top-skills-required-for-azure-developers) - [Navigating the AI Shift](https://www.wearedevelopers.com/magazine/629-navigating-the-ai-shift) - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [What is Software Engineering in the Age of AI?](https://www.wearedevelopers.com/magazine/640-what-is-software-engineering-in-the-age-of-ai) - [7 Cloud Computing Trends Coming in 2025 for Developers](https://www.wearedevelopers.com/magazine/412-7-cloud-computing-trends-coming-in-2025-for-developers) - [MLOps And AI Driven Development](https://www.wearedevelopers.com/magazine/82-mlops-and-ai-driven-development)