- Designed and implemented a container orchestration solution using Kubernetes on both on-prem and AWS EKS.-Administrated Kubernetes resources such as workloads, pods, deployments, RBAC, probes, services, storage, networking, ELB, ingress, logging and troubleshooting nodes, application, cluster component failures etc.- Developed and maintained Kubernetes manifest files using templates and helm packages & Rollout K8s deployments, widely used Kubectl.- Created CI/CD pipelines by integrating Git, GitHub, Maven, Jenkins - Implemented Maven builds to automate JAR and WAR- Worked on AWS services VPC, EC2, ECS, S3, ELB, Auto Scaling groups (ASG), EBS, RDS, IAM, Route 53, Cloud watch, Cloud front, and clour trail- Leveraged and developed own Terraform manifest files and modules for building and versioning infrastructure against different Terraform providers mainly with AWS resources VPC, subnets, EC2, security groups, IAM policies roles, EKS cluster etc. and well maintained the remote backend for Terraform state.

- Web Server installation Apache2 and NGINX, Configure them. - Manage all internet applications inclusive, Apache, MySQL, and PH,- AWS administration on different services i.e., S3, Route53, EB- EC2 : AMIs, Snapshots, Load Balancing, Volumes, Target Groups, LaunchConfigurations, and Auto Scaling- VPC : Internet Gateway, NAT Gateway, Subnets, Route Tables VPC Peering- Designing and deploying dynamically scalable, available, fault-tolerant, andreliable applications on the Cloud.- Performing rollback on system upgrade ̈- Selecting appropriate Cloud services to design and deploy an application based ongiven requirement.- Migrating complex, multi-tier applications on Cloud Platforms

- Managing an application which handles 150k concurrent logged i ln users.- Configured such systems which can manage 1st level alerts itself.- Migrating server applications to micro service architecture, which is very cost efficient- Implemented various Grafana and Kibana dashboards for Business. Automated report was also there to work on stats.- Working tightly with Developers team to resolve problem quickly- Set up latency based routing in AWS - Configure Docker Containers - Troubleshooting server performance and AWS resource related issues - Work actively for the cost optimization of AWS infra - Provide L2 support