Around 4 years of work experience as DevOps Engineer in implementing Continuous Integration and Deployments and configuration management tools.
Experienced in using AWS resources such as EC2, S3, VPC, EBS, AMI, SNS, RDS, ECS, Cloud watch, Cloud Trail, Route53, Lambda Serverless, Firewall, load balancers, auto-scaling, security groups and Cloud formation.
Using Terraform modules wrote automation scripts for creating resources in the cloud and versioned them in S3.
Implemented software configuration management solutions using Ansible, and Jenkins.
Hands-On Experience on Docker and Kubernetes based container deployments using Docker Files and Helm charts.
Hands-on knowledge of working with monitoring tools such as Prometheus, Grafana.
Involved in setting up JIRA as bug tracking system and customized workflows or plugins for the JIRA bug/issue tracker.
Worked on source code management tools like GIT and Bitbucket.
Involved in designing, architecting and utilization of almost all the AWS stack including EC2, VPC, DynamoDB, Cloud watch, S3, SQS, SNS, Cloud formation, RDS, Elastic search, EBS, Amazon Cloud Front, Elastic Load balancer, Elastic Beanstalk, AMI, Cloud trail, Lambda.
Experience in Configuration, Deployment, and Management of AWS Infrastructure using AWS Control Tower and related services.
Experience in Continuous Integration and Delivery tools Jenkins.
Virtualized Docker Images on Amazon EC2, created Docker files, used Nexus Repository as a Private Docker Registry for Docker Images.
Configure the app logs, syslog, network, and tomcat logs in Splunk.
Worked on configuration management, change Mgmt., Incident Mgmt., problem Mgmt. and release event Mgmt. to integrate existing IT services and components.
Experience on Ansible and Ansible Tower to automate repetitive tasks, to deploy critical applications quickly, and proactively manage the changes and wrote playbooks to manage Web applications.
Deployed Puppet, Puppet Dashboard for configuration management to existing infrastructure.
Working experience with Python and scripting languages.
Passionate in learning new technologies and improving work environments with best practices.
Overview
4
4
years of professional experience
1
1
Certification
Work History
DevOps/Cloud Engineer
Quantum Technologies
05.2019 - 08.2023
Used security groups, network ACL's, Internet Gateways, NAT instances and IP tables to ensure a secure zone for organizations in AWS public cloud
Proficient in AWS services EC2, IAM, S3, CloudWatch, SNS, SQS, VPC, ELB, RDS, Lambda, EBS, Route 53, Auto Scaling, Code Deploy, Code Pipeline and Cloud Formation
Defined AWS Security Groups which acted as virtual firewalls that controlled the traffic allowed to reach one or more AWS EC2 instances
Creating S3 buckets and managing policies for S3 buckets and utilized S3 bucket and Glacier for storage and backup on AWS
Created Python scripts to automate AWS services, which include web servers, ELB, Cloud Front distribution, EC2 and data base security groups and application configurations
This script creates single server or join webservers to stacks
Worked with Cloud Watch to monitor resources such as EC2, CPU memory, Amazon RDS DB services, Dynamo DB tables, EBS volumes; to set alarms for notification or automated actions; and to monitor logs for a better understanding and operation of the system
Utilized AWS CLI to automate backups of data and stores to S3 buckets, EBS and create AMIs for mission critical production servers as backups
Create, Destroy and Maintaining KAFKA clusters and topics for every environment using Terraform
Installed, configured, and managed the ELK (Elastic Search, Log stash and Kibana) for Log management within EC2 / Elastic Load balancer for Elastic Search
Building/Maintaining Docker container clusters managed by Kubernetes Linux, Bash, GIT, Docker, on GCP (Google Cloud Platform)
Utilized Kubernetes and Docker for the runtime environment of the CI/CD system to build, test deploy
To achieve Continuous Delivery goal on high scalable environment, used Docker with load-balancer tool Nginx
Deploying Microservices in Dev & QA environment using AWS ECS and Docker
Building Docker image with Packer and provisioning with Kubernetes by using Docker Packer Builder
Used Kubernetes for container management that runs Docker containerized applications in a cluster of EC2 instances in Linux Environment
Automated various infrastructure activities like Continuous Deployment, Application Server setup, Stack monitoring using Ansible playbooks and has Integrated Ansible with Jenkins
Implemented and designed AWS virtual servers by Ansible roles to ensure deployment of web applications
Experienced in creating Playbooks and scripts for Provisioning hosts, Configuration management, patching and software deployment with Ansible
Used Jenkins as a full cycle continuous delivery tool involving package creation, distribution, and deployment via Jenkins shared library
Configured Jenkins, used as a Continuous Integration tool for Installing and configuring Jenkins Master and hooking up with different build slaves
Installed, configured, and managed monitoring tools like Prometheus and Dynatrace for resource monitoring, Network monitoring and Log trace monitoring
Skilled in monitoring servers using Cloud watch and using ELK Stack Elastic Search Log stash
Installing, testing, and deployed monitoring solutions with Splunk services, Implemented and managed Splunk monitoring and reporting infrastructure
Working on Quality control tools like SONARQUBE and VERACODE to ensure proper scanning of code developed
Migration of environments from one KUBERNETES cluster to another and managing resources for the clusters
Created automated scripts for the Jenkins job to run and scan all the repositories overnight
Developed TERRAFORM scripts to Destroy environments after Closure of Business and Create them back before Resume of Business to save costs incurring