Azure Technical Lead

The Hire
New York, NY, United States
about 2 months ago
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Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Experience required
10 years minimum
Working hours
Regular working hours
Job source

Tech stack

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)
+20 more
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

Job 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.

Requirements

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

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