Senior DevOps Engineer - GCP

Requirements :

• 5+ years of hands-on experience in DevOps, SRE, or Platform Engineering roles.
• Strong production-grade experience with GCP, especially GKE and core managed services.
• Proven expertise in running Kubernetes at scale in live production environments.
• Deep hands-on experience with New Relic in complex, distributed systems.
• Experience operating AI/ML or LLM-driven platforms in production environments.
• Solid background in Terraform, CI/CD, cloud networking, and security fundamentals.
• Comfortable owning production systems end-to-end with minimal supervision.

Job Responsibilities :

• Own day-2 production operations of a large-scale, AI-first platform on GCP.
• Run, scale, and harden GKE-based workloads integrated with a broad set of GCP managed services (data, messaging, AI, networking, and security).
• Define, implement, and operate SLIs, SLOs, and error budgets across platform and AI services.
• Build and own end-to-end New Relic observability (APM, infrastructure, logs, alerts, and dashboards).
• Improve and maintain CI/CD pipelines and Terraform-driven infrastructure automation.
• Operate and integrate Azure AI Foundry for LLM deployments and model lifecycle management.
• Lead incident response, conduct postmortems, and drive systemic reliability improvements.
• Optimize cost, performance, and autoscaling for AI and data-intensive workloads.