ARUN G.

For the past 9 years, I've been doing one thing consistently — making complex cloud systems simpler, smarter, and more resilient. What started as DevOps and cloud infrastructure work across AWS, Azure, and GCP evolved into something bigger: building AI-powered infrastructure where systems don't just run — they observe themselves, predict failures, and recover automatically. Today my work sits at the intersection of three things most engineers treat separately: → Cloud Architecture — multi-cloud, Kubernetes, IaC, GitOps, security → Observability & AIOps — Datadog, Dynatrace, BigPanda, Elastic ML, predictive incident management → LLMOps & AI Integration — LangChain, LlamaIndex, RAG pipelines, vector databases, AI-driven automation One result I'm proud of: reduced alert noise by 50% and cut MTTR from 800 hours to 8 hours — through AI-based alert correlation, predictive anomaly detection, and automated remediation workflows. I've built production systems on EKS and GKE, presented architecture demos to CTOs, and integrated AI into pipelines that used to need three engineers to manage. I hold certifications across all three major clouds — Google Cloud Architect Professional, AWS Solutions Architect, Azure Developer, Terraform Associate, and Google Cloud Security Engineer. I'm not looking for just another role. I'm looking for teams building something ambitious — where infrastructure is treated as a product, not a cost center. Open to senior and principal-level opportunities globally, particularly in Singapore and high-growth tech environments.