Being from the Infra Team of one of the fastest growing organizations, serving approximately 4M Daily Active Users, I honed my skills while actively contributing to reliability enhancements. Engaging with open-source tools, I identified issues/improvements and made valuable contributions back to the community. Taking ownership of projects, I also facilitated knowledge exchange among team members, fostering a collaborative environment for continuous learning. Ensured that our solutions and approaches are cost effective.

• Configured existing infra to use IAC (Terraform) with module composition and centralized remote state management on AWS S3.
• Used ArgoCD with PR Generator to solve a problem - To spin up preview environments on demand with all Secrets + Observability enabled.
• Extended Marbot using Terraform to create numerous CloudWatch Slack Alerts to cover almost every AWS resource which needed to be monitored.
• To have clear visibility, created effective cost reports and dashboards to know the exact services/resources which was increasing our $$$.
• Automated Setup of full fledged EKS Prod/Stage Cluster with all EKS Plugins + Node Groups + Logging/Monitoring/APM Stack using Terraform/Helmfile. Made a dynamic module for this to reuse it as many times as we want without repeating the whole TF code.
• Understood the requirement and Migrated three kOps k8s clusters (dev, stage and prod) into two EKS clusters (stage and prod) with separate clusterDomains and OpenVPN(Pritunl) setup.
• Attained K8s Node Autoscaling nirvana using Karpenter.
• Setup of precise actionable alerts to cover important aspects of the infra.
• Deployed Pritunl VPN to facilitate secure connectivity to the systems for devs, QAs and PMs. (Prior to this we were using plain OpenVPN, Read blog, It made all k8s FQDNs, Cluster IPs, AWS VPC IPs reachable from local machines.)
• Self hosted GitHub Actions Runners, dynamic provisioning of runners as per the queued CI Jobs.
• Setup of Hashicorp Vault + Vault Secrets Operator for ease of management of the Kubernetes Secrets. (Blog)
• Implemented Argo Workflows with default handler, so that any workflow will retry itself 2 times before completely failing and then alert will be sent to a dedicated slack channel.

Worked on multiple projects of various scale of different domains across various geographies.
In these, I've transcended from apprentice to architect, weaving together the threads of development and operations to achieve utmost efficiency.

• Automated creation of an Infra from scratch using AWS Cloudformation, Ansible using ECS Cluster, Nodes and Services.
• Used Single Load Balancer for multiple Ingresses using "Ingress Group" to save some costs.
• Optimized CI/CD pipelines - Build Once, Deploy Everywhere.
• Custom GitHub Action to send Slack Alerts to notify CI/CD pipeline success/failures.
• Migration of a three tier application from bare metal servers to Docker Swarm Cluster.
• Created Self Exploding testing infra stack using AWS Cloudformation. Also wrote blog on this here.
• Setup of an NGINX reverse proxy Django app using Gunicorn.
• Ensured all the best practices being followed in my projects.
• Contributed in some Python projects.

During my Internship, I was given training on Linux, Networking, Git, Docker and Kubernetes. I got to work on a project during my internship where we were ingesting TBs of logs daily in our system to power a SOC tool. My job was to keep our self-hosted Kubernetes cluster running reliably. I was appraised for a tool I created to send hourly slack alert which will collect data from various data sources and will give precise system health status. (Kafka Lag, Query Performances, NotReady nodes and pods, etc.)

• Replicated the exact prod cluster on smaller machines using Vagrant & Ansible.
• Debugged various K8s related issues, e.g. - IPAM exhaustion of Weave CNI.
• CronJob for cleanup of some dangling resources.