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Tier-1 brand, metro location, and a popular SRE role with broad requirements raises competition.
Core SRE skills transfer across industries, but cybersecurity and AIOps specialization increases domain specificity.
Explicit 6–10 years plus required cloud, Kubernetes, Terraform, Kong, and SRE experience produces high strictness.
Own and operate large-scale, global cloud production environments focusing on AI-driven observability and autonomous operations.
Lead architecture, deployment, and management of Kubernetes (GKE) clusters and Kong API Gateway infrastructure, ensuring scalability, security, and performance.
Develop and implement AI-powered automation for incident diagnostics, self-healing infrastructure, predictive scalability, and enhanced operational workflows.
6–10 years of experience in SRE/DevOps roles with production environments at scale.
Strong hands-on expertise in GCP cloud platform, Kubernetes (GKE), Kong API Gateway, and Terraform infrastructure provisioning.
Proficiency in Python scripting and automation; deep Linux expertise (RHEL/Ubuntu) including kernel tuning and system internals.
Work Experience Required: 6–10 years in relevant roles; Immigration Sponsorship: Not available.
Experienced in leading high-severity incident management (P1/P2) in complex, distributed global applications.
Demonstrates advanced skills integrating AI/ML and AIOps tools for intelligent infrastructure management and automation.
Comfortable operating at the intersection of SRE and AI innovation with a focus on autonomous operations, predictive analytics, and AI-assisted incident response.