Nitesh Wayafalkar

Worked as a DevOps Engineer in a shared-resource model, collaborang with development, QA, and security teams to deliver secure, high-quality applicaons across 100+ services. Managed Kubernetes workloads on AWS EKS, implemenng cost-opmizaon strategies using rightsizing, Spot Instances, and Karpenter for intelligent autoscaling. Adopted GitOps pracces using Argo CD and Helm for declarave Kubernetes deployments, enhancing release speed and consistency.

Managed HA AWS EKS clusters using Cluster Autoscaler for dynamic node scaling and resource optimization. Built Jenkins CI/CD pipelines to streamline deployments and minimize manual errors. Automated AWS infrastructure (EC2, RDS, S3, IAM) with Terraform for consistent scalability. Deployed and monitored workloads via Helm, Prometheus, and Grafana. Enhanced release speed and uptime through pipeline optimization and proactive CloudWatch alerting. Collaborated with dev/QA teams to resolve issues.

Integrated automated tesng frameworks (Selenium, RestAssured, Cucumber) into GitLab CI/CD pipelines; deployed QA environments on AWS EC2 instances and used Grafana/Kibana monitoring to nd out RCA

Performed smoke, funconal, regression, and end-to-end integraon tesng using Selenium WebDriver with TypeScript and BDD frameworks.

Created customized XPaths, implemented Page Object Model (POM) frameworks using Core Java and TestNG, managed build dependencies via Maven, and scheduled test runs in Jenkins.