Senior Elk Stack Engineer
CurrentCreated Python scripts to fully automate AWS services which include ELB, Cloud Front distribution, EC2, Security Groups and S3. This script creates stacks, singe servers and joins web servers to stacks.Worked with Docker Container, container snapshots, attaching to a running container, managing containers, and directory structures and removing Docker images.Worked on Docked-Compose, Docker-Machine to create Docker containers for testing applications in the QA environment and automated the deployments, scaling and management of containerized applications across clusters of hosts using Kubernetes.Used Ansible server to manage and configure nodes, Managed Ansible Playbooks with Ansible roles. Used file module in Ansible playbook to copy and remove files on remote systems.Responsible for large-scale Chef Implementation and maintenance, Chef Cookbook's creation, testing and implementation.Worked with Jenkins API's to know various things like build status, count of builds, Git commit version used by Jenkins builds etc. using Groovy.Installed and Configured Data Base Servers like MySQL, MariaDB, PostgreSQL, MongoDB, Cassandra, Oracle DB (10g, 11g), on various Linux Distributions, Oracle Enterprise Linux, RedHat Enterprise Linux, Ubuntu Enterprise Linux.Used Bitbucket to manage repositories, maintained the branching and build/release strategies utilizing GIT and Bitbucket.Maintained JIRA for tracking and updating project defects and tasks ensuring the successful completion of tasks in sprint.Responsible to designing and deploying new ELK clusters (Elasticsearch, Logstash, Kibana, beats, Kafka, zookeeper etc.Design, build and manage the ELK (Elasticsearch, Logstash, and Kibana) cluster for centralized logging and search functionalities for the App.Responsible for designing and deploying new ELK clusters (Elasticsearch, Logstash, Kibana, beats, Kafka, zookeeper etc.Written and Maintained Automated Salt scripts for Elasticsearch, Logstash, Kibana, and Beats.