Vishnu Puppala

About Vishnu Puppala

Senior DevOps Engineer with 5+ years of experience designing and managing enterprise-scale, high-availability cloud infrastructure supporting millions of users across multi-region environments. Strong expertise in AWS (EKS), Kubernetes, Terraform, and Docker, building scalable, fault-tolerant, and cost-efficient cloud-native platforms. Specialized in CI/CD automation using Jenkins and GitHub Actions, GitOps (ArgoCD), and Kubernetes-based deployments, enabling faster, reliable, and zero-downtime releases. Proven track record of achieving 99.99% uptime, reducing deployment time by 70%, and improving MTTR by 50% through automation, monitoring, and resilient system design. Experienced in multi-region architecture, auto-scaling (HPA/VPA), failover strategies, and disaster recovery for high-traffic production systems. Hands-on expertise in observability and monitoring using Prometheus, Grafana, Datadog, ELK Stack, and OpenTelemetry for proactive issue detection and performance optimization. DevSecOps-focused engineer with experience integrating SAST, DAST, and dependency scanning into CI/CD pipelines, improving security posture and reducing production issues. Skilled in implementing blue-green and canary deployments, service mesh (Istio), and building self-service deployment platforms to enhance developer productivity. 🤝 Collaborative team player working with engineering, QA, and product teams to streamline workflows and improve delivery efficiency across cloud-native environments. Seeking DevOps / SRE / Platform Engineering roles to build scalable, resilient, and high-impact cloud systems.

Experience

1. Devops Engineer

   PayPal

   Jan 2025 — Present

   Designed and implemented multi-region AWS infrastructure using EKS clusters, ensuring high availability and fault tolerance for critical payment services across geographically distributed environments.•Automated infrastructure provisioning using Terraform modules, standardizing resource creation across environments, improving consistency, and eliminating manual configuration errors.•Built and maintained scalable Kubernetes workloads, containerizing microservices with Docker and deploying via Helm charts, ensuring consistent application behavior across development, staging, and production.•Developed end-to-end CI/CD pipelines using Jenkins and GitHub Actions, automating build, testing, and deployment workflows to accelerate delivery cycles and reduce manual release dependency.•Implemented blue-green and canary deployment strategies within Kubernetes environments, enabling zero-downtime releases, minimizing production risks, and ensuring smooth feature rollouts.•Configured centralized monitoring and alerting using Datadog, Prometheus, and Grafana, enabling proactive detection of anomalies, improved observability into system performance, and faster troubleshooting.•Improved system uptime to 99.99% by implementing multi-region failover strategies, load balancing, and auto-recovery mechanisms, ensuring uninterrupted payment processing during regional outages.•Reduced deployment time by approximately 70% by automating CI/CD pipelines and infrastructure provisioning, enabling faster feature releases and improving engineering team productivity.•Decreased mean time to recovery by 50% through enhanced monitoring, alerting, and incident response strategies, allowing faster identification and resolution of production issues.•Implemented auto-scaling policies for Kubernetes workloads based on real-time traffic patterns, optimizing resource utilization, reducing infrastructure costs, and maintaining consistent performance during peak transactions.