Pushpendra Tripathi
DevOps Engineer — automating cloud-native infrastructure on AWS with Terraform, Docker and Kubernetes. 3 Years 9 Months turning manual deployments into repeatable, self-healing pipelines.
DevOps Engineer with 3 Years 9 Months of experience designing and automating cloud-native infrastructure on AWS using Terraform, CloudFormation, Docker, and Kubernetes (Amazon EKS). Skilled in building scalable CI/CD pipelines and delivering secure, highly available, and resilient production environments — with a focus on driving automation, improving system reliability, and enabling operational excellence.
- Designed and maintained scalable CI/CD pipelines using Jenkins and GitLab CI/CD for enterprise Java and microservices apps — cut deployment time by 60% and improved release reliability.
- Automated cloud infrastructure provisioning on AWS using Terraform (IaC), enabling repeatable, version-controlled deployments and reducing manual effort by 50%.
- Built and shipped containerized apps via Docker → Amazon EKS, implementing HPA, rolling updates, self-healing, and service discovery for zero-downtime deployments.
- Managed AWS services spanning EC2, EKS, IAM, VPC, S3, Lambda, CloudWatch, Auto Scaling, and Load Balancers, following security best practices.
- Implemented monitoring & alerting with Prometheus, Grafana, New Relic, CloudWatch — enabling proactive incident detection, root-cause analysis, and automated failover/rollback.
- Automated operational tasks with Bash/Shell scripting, and led Agile sprint planning while mentoring junior engineers through KT sessions.
- Built foundational skills in CI/CD automation, Terraform (IaC), AWS deployments, Docker, and Kubernetes while contributing to production support and deployment scripting.
Provisioned secure, scalable AWS infrastructure — EC2, VPC, IAM, S3, Security Groups, and Nginx — entirely through Terraform, with custom VPC CIDR blocks for version-controlled, repeatable deployments.
Containerized and deployed Java applications on Amazon EKS, implementing multi-pod deployments and Horizontal Pod Autoscaling for highly available, resilient performance under dynamic traffic.