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Mid-level role in a metro location with broad Azure/Kubernetes skill requirements increases competition.
Kubernetes and Terraform skills transfer across industries, but AI-infrastructure focus adds moderate domain specificity.
Explicit 3+ years plus mandatory AKS/Terraform/GitOps requirements create stringent technical filters.
Own and architect reusable Terraform modules and Crossplane compositions for multi-environment AI infrastructure deployments.
Design and maintain GitOps processes using FluxCD, advanced Azure DevOps pipelines, and solve complex AKS issues including networking, scaling, and identity integration.
Mentor junior engineers, ensure quality and security through technical review, and improve team tooling, documentation, and automation.
3+ years experience designing, operating, and scaling production Kubernetes platforms, with deep hands-on expertise in Azure Kubernetes Service (AKS).
Strong experience with Terraform infrastructure-as-code; supplemental experience with Crossplane and ARM templates.
Experience implementing GitOps models and observability tooling (Azure Monitor, Prometheus, Grafana).
Must be comfortable working between 5:00 PM and 2:00 AM IST. Work Experience Required: 3+ years Kubernetes and AKS platform engineering.
Experienced infrastructure engineer focused on production-grade Kubernetes and Azure environments with strong DevOps and CI/CD pipeline expertise.
Technical leadership style, capable of mentoring juniors and driving best practices through code reviews and technical ownership.
Practical AI/ML interest, having completed real projects beyond theoretical knowledge, aligning with AI-enabled solutions development.