PANKAJ SHAH

I’m a Senior DevOps & Platform Engineer with 5+ years of experience designing and operating scalable AWS cloud platforms that support 150+ microservices. I specialize in Kubernetes/EKS, Terraform, GitOps, CI/CD, observability, and cloud cost optimization—balancing reliability, governance, and speed for engineering teams.

At Maruti Techlabs, I lead production EKS platform operations using Karpenter-driven autoscaling and workload right-sizing. I orchestrated an enterprise-scale AWS Graviton migration of 150+ microservices from AMD64 to ARM64, implementing multi-architecture Docker builds, Karpenter NodePools, Helm scheduling, and GitOps deployment strategies with seamless fallback—resulting in ~20% infrastructure cost reduction. I also reduced annual infrastructure costs by $36,000 by replacing Cast AI with improved scaling efficiency.

To raise operational excellence, I built end-to-end OpenTelemetry observability for application and infrastructure workloads, centralizing metrics, logs, and traces in SigNoz Cloud to improve monitoring visibility and incident resolution. I build immutable CI/CD platforms with GitHub Actions, AWS CodePipeline, and Terraform Cloud, and standardize multi-environment deployments using ArgoCD (app-of-apps, drift detection, policy-as-code, and automated rollback). For non-production, I implemented a mixed Spot and On-Demand strategy that reduced infrastructure costs by ~ $1,500 per month without impacting stability.

I’m equally focused on enabling modern engineering workflows, including governed AI experimentation. With AWS SageMaker and Guardrails, plus AI-assisted development using Claude Code and custom skill integrations, I help developers move faster with secure and reliable platform foundations—backed by automation using Python for monitoring, reporting, and incident readiness.