I have 6.5 years of experience as a Cloud & DevOps Engineer and looking for challenging responsibilities in Advanced Technologies, where my knowledge can be shared, enriched and to further enhance my technical knowledge.
Build an Architecture on AWS which consists of separate VPC, private and public subnets. . Experience in creation of Jenkins jobs and integration of Jenkins with Nexus and implemented Git Poll SCM option for scheduling jobs. Creating Docker Images using Docker files to support containerization of applications.Dealt with AWS cloud services with S3, EBS, ELB, Auto Scaling, Cloud Formation and VPC Peering. Used IAM to create new accounts, roles and groups. Involved in configuring S3 versioning and life cycle policies to backup files and archive files in Glacier and configured S3 to host static web content. Experience in DevOps process CI/CD pipeline with Jenkins. Involved in various CI/CD activities on Jenkins including code polling, scheduling jobs etc. Develop CI/CD system with Jenkins on Kubernetes(EKS) container environment, utilizing Kubernetes and Docker for the run time environment for the CI/CD system to build and test and deploy.
Overview
7
7
years of professional experience
Work History
DevOps Engineer
RP Web Apps Private Limited
Hyderabad, Telangana
07.2022 - Current
Developed automated deployment processes and scripts to ensure a smooth transition from development to production.
Configured, managed, and monitored cloud-based services such as AWS EC2, S3, EBS, ELB, RDS.
Created CI and CD pipelines with Jenkins and Docker to automate the build process of applications.
Implemented systems automation using scripting languages like Groovy
Collaborated with developers in order to troubleshoot application related issues quickly.
Provided support for web servers configuration and maintenance activities.
Cloud and DevOps Engineer
Claro Software Solution Pvt.Ltd
12.2018 - 07.2022
Working closely with our engineering teams to understand their product requirements and how they build/test/deploy their software applications
Implementing micro services using Docker
Manage (create, list, terminate, etc) pods in a Kubernetes cluster
Performing deployment of applications on Docker and Kubernetes and in troubleshooting the issues
Design and implement Kubernetes clusters on AWS
Complete Automation for Build, Release and Deploy for all Non-Prod, Staging and Prod environments
Implement CI/CD pipelines, Code, Build and Release management using GIT and Jenkins
Creating Docker Images using Docker files to support containerization of applications
Using Kubernetes to Orchestrate Docker containers
Troubleshoot the system and solve problems across all platforms and applications domains - AWS server
Build Kubernetes cron jobs for maintenance activities
Work with architects on deployment architecture, security and CI/CD and then implement these on the cloud
Implemented and maintained the monitoring and alerting of production and corporate servers/storage using
AWS Cloud watch
Well versed with monitoring tools like Datadog to monitor major metrics like network logs, CPU utilization, load balancer logs etc
Integrated Sonarqube plugins in Jenkins for automated testing and for Code quality check
Used Jira as Ticketing System Tool to handle the issues/tasks/service requests created by multiple team Members across the project
Worked on Amazon Cloud Based technologies in auto scale, highly resilient, fault tolerant environment in both Linux and Windows environment
Used Maven as a build tool for Java projects for the development of build artifacts on the source code
Provide durable and highly available data by creating and managing policies by s3 datastore, versioning and life cycle policies
Experience with AWS Cloud formation and launch configurations to automate repeatable provisioning of AWS resources for applications
Manage a CI/CD deployment methodology for the server-based technologies
Strong ability to solve operational problems with ability to identify and automate common routines
Strong hands-on experience with AWS solutions using EC2, S3, RDS, EBS, Elastic Load Balancer, Auto scaling groups
Administered and Engineered Jenkins for managing weekly Build, Test and Deploy chain, GIT with Dev/Test/Prod Branching Model for weekly releases
Worked on AWS IAM which included managing applications in the cloud and creating EC2 instances
Used JENKINS for Continuous Integration/Continuous Delivery Pipelines