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Technical Lead - Infra Devops (Azure)

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Hybrid

Technical Lead - Infra Devops (Azure)

WinWire

Technical Lead - Infra Devops (Azure)

Skills

DockerRGitHubKubernetesTerraformAzure

1 month ago

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Important information


Contract type:

Permanent

Location:

Bengaluru, Karnataka, India

Work mode:

Hybrid

Published on:

7 September 2026

What they need


Experience: 8+ Yrs

Job Location: K R Puram, Bengaluru

Work from Office in Hybrid Mode

Required Technical Skills:

Azure Cloud, Terraform, Azure DevOps, GitHub Actions, CI/CD, Azure CLI, PowerShell, AKS, Docker, ACR, Azure Networking, Azure Security, Azure Landing Zones, Application Modernization, On-Premises to Azure Migration, Azure Storage, Cosmos DB, PostgreSQL, Azure Synapse, Azure Document Intelligence, Monitoring & Cloud Operations.

Role Summary:

Experienced Azure DevOps Technical Lead responsible for architecting, automating, modernizing, and managing enterprise-grade Azure environments while driving cloud migration, platform reliability, security, and delivery excellence.

This position plays a key role in enterprise Azure environments, accelerating delivery through Infrastructure as Code, CI/CD automation, Kubernetes adoption, and cloud-native engineering practices.

Primary Skills (Must have hands on experience):

  • 6+ years experience Hands on work in Azure cloud services

  • 5+ years experience in Terraform

  • 6+ years experience in Azure Platform Administration, Azure CLI and PowerShell

  • 5+ years of experience in CI/CD pipelines

  • 5+ years experience in Azure DevOps and/or GitHub Actions

  • 5+ years experience in Application Modernization and On-Prem to Azure Migration projects

  • 5+ years experience in Azure Networking, Security, Identity Management and Landing Zone implementation

  • 5+ years experience in Kubernetes and Container Technologies (AKS, Docker, Container Apps, ACR)

  • 4+ years of experience in production cloud deployments, operational support, monitoring, and troubleshooting.

  • Exposure towards Azure Foundry (Deployment & Integrating LLM Models) - Preferrable

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