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Metro SRE demand is strong but specific GCP/GKE specialization reduces applicant density.
Deep GCP/GKE SRE and Kubernetes expertise make skills less transferable across unrelated industries.
Explicit multi-year experience bands and mandatory Google GKE Admin skill create strict filtering.
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Lead infrastructure modernization by migrating to AI-augmented automation frameworks for GKE and Kong API Gateway to reduce manual deployment errors and increase delivery speed.
Own and lead P1/P2 incident response for business-critical applications, implementing automated self-healing playbooks to reduce Mean Time to Recovery (MTTR) and maintain global SLAs.
Develop and deploy automated, AI-assisted security patching cycles for GKE nodes and Kong instances to ensure 24/7 CIS compliance; create operational runbooks and documentation using Generative AI for seamless team knowledge transfer.
7-13 years total experience, with at least 7 years in production Kubernetes environments and deep specialization in Google Cloud Platform (GCP).
Mandatory skills include Site Reliability Engineering (SRE) and Google GKE Administration.
Location requirement: Bangalore, Karnataka, India (immediate joining preferred).
Work Experience Required: 8-10 years (conflicting mentions; consider 7+ as baseline).
Experienced in managing large-scale production Kubernetes (GKE) environments on Google Cloud Platform with strong operational ownership.
Proven track record in incident leadership for high severity (P1/P2) issues with skills in automation to reduce MTTR and maintain SLAs.
Skilled in developing automation tooling using Go or Python and leveraging AI-assisted coding for infrastructure and security pipelines.