jayram jay

I’m a dedicated and proactive DevOps Engineer with 3 YOE, focused on automating infrastructure, optimizing CI/CD pipelines, and managing cloud environments. I aim to reduce deployment friction while keeping systems highly available through reliable automation and monitoring.

At Cognizant (2023–2025), I automated infrastructure for the Lululemon sales environment by collaborating with development teams to optimize agile delivery—automating testing, deployments, and environment provisioning to reduce bottlenecks. I used AWS services (ALB, ASG, EC2, IAM, S3, EBS, Route53, RDS, Security Groups, VPC) and built CI/CD pipelines in Jenkins, improving deployment speed by 40%. I also managed cloud infrastructure with Terraform, reducing manual configuration errors and increasing scalability by 30%.

I strengthened delivery with containerization and orchestration—writing Docker files, building containers/images, and deploying with Kubernetes using Jenkinsfile and manifest files stored in GitHub. I integrated Prometheus and Grafana to track logs and performance, supporting optimal uptime of 99%, and used SonarQube and Trivy via Jenkins integration to examine code quality and security signals.

In my current Cognizant role (2025–Present), I support Novartis by automating application upgrades and feature deployments, participating in daily Agile stand-ups, and ensuring reliability through proactive monitoring and incident response. I’m actively monitoring applications and migrating infrastructure from AWS to Terraform, managing Kubernetes clusters with kubectl, and developing pod/deployment/service/ingress definitions—while leading monitoring and alerting integrations that reduced 30–50 support tickets.