Raghav G

About Raghav G

Over 10+ years of professional IT experience as an AWS Cloud Engineer, DevOps automation Engineer, Software Configuration Management (SCM), Build & Release management, and worked in many technical roles both in Linux and Windows environment for build/Release automation process in Web & cloud/server Environment using Java/J2EE/JEE Technology, AWS & open source technologies.Involved extensive work towards code compilation, packaging, building, debugging, automating, managing, tuning and deploying code across multiple environments and Linux Administration.Expertise in improving build & deployment tools in DevOps through automation using scripting languages such as JavaScript, Shell, Bash, Perl, JSON, Ruby, Groovy and Python, etc.Experience with a variety of databases including relational databases like Oracle, MySQL, MS-SQL and No-SQL databases like Cassandra and knowledge on Big Data and Data Analytics using Hadoop. System administration in Red Hat and Debian distributors like Ubuntu, SUSE, Solaris, IBM AIX, EMC storage, ONTAP, AWS.Experience in Server infrastructure development on AWS Cloud, Google Cloud and Microsoft Azure.Fluent in several software lifecycle models, including Waterfall, SDLC, and Agile.Experience in Amazon Cloud Services (AWS) and its features (AWS EC2, VPC, EBS, AMI, APIs, Route 53, snapshots, Autoscaling, Cloud Formation, Lambda, SES, SQS, SNS, RDS, ELB, EBS, CloudWatch, S3, etc.).Experience in process automation from system administration tasks to Continuous Integration and Continuous Deployment (CI/CD) with Jenkins/Bamboo build tools.Experience in managing Private Cloud and Hybrid cloud configurations, patterns, and practices in Windows Azure and SQL Azure and in Azure Web and Database deployments.Expertise in WAMP (Windows, Apache, MYSQL, and Python) and LAMP (Linux, Apache, MySQL, and Python) Architecture.Experience in using bug-tracking systems like JIRA, Remedy, Bugzilla, ClearQuest, Find Bugs and HP Quality Center.Experience in working with System health and performance Monitoring Tools like Nagios, Zabbix, Splunk, Cloud Watch, New Relic, Elasticsearch, Kibana, AppDynamics, etc.Written Templates for AWS infrastructure as code using Terraform to build staging and production environments.Handled large volumes of container clusters with Docker swarm, Kubernetes Mesos and Marathon.Experience in working with container-based deployments using Docker, Docker images, Docker file, Docker Hub, Docker Compose and Docker registries.

Experience

1. K8s Admin Devops Engineer

   T-Mobile

   Nov 2022 — Present · Seattle, WA, US

   Expertise in AWS Cloud platform and its features which includes EC2, VPC, EBS, AMI, SNS, RDS, EBS, CloudWatch, Cloud Trail, CloudFormation AWS Configuration, Autoscaling, CloudFront, Lambda, IAM, S3, API Gateway Elastic Beanstalk, OpsWorks, Code Deploy, Version1, Code Pipeline and Route53.Enabled Logging on S3 bucket access, VPC flow, CloudTrail, AWS configuration, IAM, AWS inspector, Lambda, RDS, DynamoDB, CloudFront, AWS API gateway, EC2 Application servers.Used Ansible to manage Web applications, Environments configuration Files, Users, Mount points and Packages. Created Docker containers to deploy and run various web applications. Also, was a part of team for analyzing micro services management using Docker, Apache Mesos and Marathon. Setup a test environment of cutting-edge container technologies including Docker, Apache Mesos, Marathon and Prometheus for monitoring. Experienced with event-driven and scheduled AWS Lambda functions to trigger various AWS resources.Responsible for Continuous Integration and Continuous Delivery process implementation using Jenkins along with Python and Shell scripts to automate routine jobs.Wrote Ansible Playbooks with Python SSH as the Wrapper to Manage Configurations of AWS nodes and Tested Playbooks on AWS instances using Python.Involved in Configuring, automation and maintaining build and deployment CI/CD tools GIT/ Bit Bucket, Jira, Confluence, Bamboo, Build Forge, Docker registry/daemon, Nexus and JIRA for Multi-Environment (Local/POC/NON-PROD/PROD) with high degrees of standardization for both infrastructure and application stack automation (ECS) in AWS cloud platform.Worked on Designing, Installing and Implementing Ansible configuration management system and writing playbooks for Ansible using YAML and deploying applications.Experimented playbooks for Ansible and deploying applications using Ansible.

Education

• GITAM Deemed University

  Bachelor of Technology - BTech, Computer Science