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Popular mid-level DevOps role with Kubernetes/Terraform, metro appeal, and moderate global brand, high competition.
Kubernetes, Terraform and cloud skills are transferable, Azure/AKS specificity creates moderate domain bias.
Explicit 3+ years AKS/Kubernetes, Terraform, GitOps, and pipeline requirements increase screening strictness.
Own and architect AI infrastructure components including reusable Terraform modules and multi-environment GitOps structures with FluxCD.
Engineer and maintain advanced Azure DevOps pipelines and manage complex Azure Kubernetes Service (AKS) issues such as networking, scaling, and identity integration.
Perform technical reviews to ensure quality, security, and consistency; mentor junior AI Infrastructure Engineers; proactively improve team practices through tooling and documentation.
3+ years of experience designing, operating, and scaling production Kubernetes platforms with deep hands-on expertise in Azure Kubernetes Service (AKS).
Strong experience with infrastructure-as-code using Terraform; supplemental use of Crossplane and ARM templates.
Experience with GitOps operating models including desired-state enforcement and drift detection.
Must be comfortable working between 5:00 PM and 2:00 AM IST.
Demonstrated ability to work independently with subsystem ownership and technical influence on AI infrastructure projects.
Experience implementing observability standards (monitoring, alerting, SLI/SLOs) using Azure Monitor, Prometheus, Grafana.
Familiarity with Azure identity management (Managed Identities, service principals, Workload Identity) and CI/CD pipelines (Azure DevOps, Octopus Deploy) in AKS environments.