Azure Technical Lead

The Hire

New York, NY, United States

9 days ago

Apply on www.dice.com

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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

www.dice.com

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

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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.