Ram S Ragidi Mobile: +1-732-***-****

mail: adyjib@r.postjobfree.com

Linkedln: https://www.linkedin.com/in/ram-susheel-ragidi-0b5491196

Professional Summary:

•Sr. Cloud & DevOps professional about 11 years of IT Experience as Cloud/DevOps Engineer comprising of Linux and System Administration with major focus on AWS, Azure, OpenStack, Continuous Integration, Continuous Deployment, Configuration Management, Build/release Management and Virtualization technologies which also includes Troubleshooting and Performance issues.

•Expertise in migrating the existing v1 (Classic) Azure infrastructure into v2 (ARM), scripting and templating the whole end to end process as much as possible so that it is customizable for each area being migrated.

•Hands on experience on Backup and restore Azure services. Designed and configured Azure Virtual Networks(VNets), Subnets, Azure network settings, DHCP address blocks, DNS settings, security policies and routing.

•Hands on experience with AWS solutions using CloudFormation Templates and launch configurations to automate repeatable provisioning of AWS resources for applications.

•Used Amazon ECS as a container management service to run microservices on a managed cluster of EC2 instances. Implemented Amazon API Gateway to manage, as an entry point for all the API's.

•Knowledge on SaaS, PaaS and IaaS concepts of cloud computing architecture and Implementation using AWS, OpenStack, OpenShift, Pivotal Cloud Foundry (PCF) and Azure.

•Expertise in designing the Google Cloud architecture by following the financial regulations from security point of view. Expertise in several GCP service focusing on Security, Kubernetes and BigQuery.

•Expertise in deep development/enhancement of OpenStack components such as Nova, neutron, designate, Cinder, Swift, Image, Horizon & Identity, and Ceilometer.

•Managed Google BigQuery instance for the data warehouse, using Google Data Prep and Google storage as the staging platform. Deployed the application using Google App Engine.

•Responsible for building scalable distributed data solutions in both batch and streaming mode on Google BigQuery using Kafka, Spark and Core Java.

•Converted existing Terraform modules that had version conflicts to utilize CloudFormation templates during deployments, worked with Terraform to create stacks in AWS, and updated the Terraform scripts based on the requirement on regular basis.

•Expertise in integrating Terraform with Ansible, Packer to create and Version the AWS Infrastructure, designing, automating, implementing and sustainment of Amazon machine images (AMI) across the AWS Cloud environment.

•Experience with setting up Chef Infrastructure, bootstrapping nodes, creating, and uploading recipes, node convergence in Chef SCM. Experience in using Chef for server provisioning and infrastructure automation, release automation and deployment automation, Configure files, commands, and packages.

•Experience using Ansible Tower dashboard, role-based access control, access to Ansible for deployments.

•Experience in working with Ansible Playbooks to automate various deployment tasks and working knowledge on Ansible Roles, Ansible inventory files and Ansible Galaxy.

•Experienced in working on Docker hub and Docker swarm, Docker compose creating Docker images and handling multiple images primarily for middleware installations and domain configuration.

•Experience in working with Jenkins in a Docker container with EC2 slaves in Amazon AWS cloud environment and also familiar with surrounding technologies such as Mesos (Mesosphere) and Kubernetes.

•Managed Kubernetes charts using Helm. Created reproducible builds of the Kubernetes applications, Kubernetes manifest files and releases of Helm packages.

•Experienced in Using Jenkins pipelines to drive all Microservices builds out to the Docker registry and then deployed to Kubernetes, Created Pods and managed using Kubernetes.

•Experience in Branching, Merging, Tagging and Maintaining the version control and source code management tools like GIT, SVN and Bitbucket on Linux and windows platforms.

•Expertness in using Build Automation tools and Continuous Integration concepts by using tools like Gradle, ANT, Jenkins, Team city, Quick Build, Build forge and Maven.

•Architected Jenkins build pipelines in various Linux environments like RHEL, Centos and Windows to build and deploy Java applications.

•Proficient with Shell, Python, Ruby, Perl, Power Shell, JSON, YAML, Groovy, PowerShell scripting languages.

•Experienced with implementing HTTP REST standards

•Experienced with all the OpenStack components like keystone, swift, nova, cinder, glance etc. Experience in programming using Perl, shell and Python scripting.

•Experience in using web servers like Apache HTTP and Tomcat, Nginx, IIS andapplication servers like IBMWebSphere, Oracle WebLogic and JBOSS for deployment.

•Hands on experience on working with System health and performance Monitoring Tools like Nagios, Splunk, CloudWatch, New Relic, App Dynamics.

•Experienced using different log monitoring tools like Splunk, ELK (Elasticsearch, Log Stash, and Kibana) to see logs information. Monitor & get the health & security notifications from nodes.

•Experience in working with SQL database like MySQL, Oracle, SQL Server and NoSQL databases like MongoDB, DynamoDB and Cassandra.

•Used Nagios as a monitoring tool to identify and resolve infrastructure problems before they affect critical processes and worked on Nagios Event handlers in case of automatic restart of failed applications and services.

•Deployed and configured Atlassian tool JIRA for both hosting and issue tracking for local instances, workflow collaboration, and tool-chain automation, also used Remedy for bug tracking.

CERTIFICATIONS:

•Azure Fundamentals Certification

•Azure Administrator Certification

TECHNICAL SKILLS:

Cloud Platforms

AWS, Azure, GCP

Configuration Management Tools

Ansible, Chef, Puppet

CI /CD Tools

Jenkins, Bamboo

Build Tools

Maven, ANT

Containerization Tools

Docker, Kubernetes, OpenShift, Aws ECS.

Version Control Tools

GIT, GITHUB, Bitbucket, SVN

Logging&Monitoring Tools

Nagios, Splunk, ELK, CloudWatch, Azure Monitor,

Scripting &Programming

ShellScripting,PL/SQL,,HTML,Powershell,Phyton

Databases

My SQL, Oracle, Dynamo DB, Cassandra, Mongo DB

Application/Web Servers

Web logic, Web sphere, Apache Tomcat

Operating Systems

UNIX, Linux, Windows, CentOS, UBUNTU and RHEL.

Virtualization Platforms

Oracle VirtualBox, VMware Workstation, Hyper-V

Bug Tracking Tools

JIRA, Bugzilla, Remedy, HP Quality Center, IBM Clear Quest, Mingle

Repositories

Antifactory, Nexus

Web Technologies

HTML, CSS, Java Script, jQuery, Bootstrap, XML.

PROFESSIONAL EXPERIENCE

Client: FLUOR Corporation

Role : Lead Engineer Azure Admin/DevOps Engineer Feb 2022 - Till Date

Implementation Partner: Trianz Holdings Pvt Ltd

Roles & Responsibilities

•Worked on Agile Methodology and responsible for monitoring and managing the development and production and worked with Azure Portal to Provide IAAS resources to client.

•Worked with Azure PaaS and IaaS Solutions like Azure Web Apps, Web Roles, Worker Roles, and SQL Azure and Azure Storage.

•Provisioned Web server such as Apache and IIS to deploy and scale services developed with Java, Python, Ruby, PHP and Node.js in the AWS cloud using Elastic Beanstalk.

•Benchmark Elasticsearch-5.6.4 for the required scenarios.

•Using X-pack for monitoring, Security on Elasticsearch-5.6.4 cluster.

•Worked with Azure compute services, Azure Web apps, Azure Data Factory & Storage, Azure Media &Content delivery, Azure Networking, Azure Hybrid Integration, and Azure Identity & Access Management.

•Implemented Azure Databricks to other Azure services (such as Azure Storage) in a more secure manner using service endpoints.

•Sync Elasticsearch Data between the data centers using Kafka and logstash, managing Kafka Cluster and integrated Kafka with elastic. Implemented cloud based integrations with elastic.

•Designed, Planned, and created Azure virtual machines, Implementing, and managing virtual networking within Azure and connect it to on-premises environments.

•Worked on Azure Databricks to use custom DNS and configure network security group (NSG) rules to specify egress traffic restrictions.

•Designed and configured Azure Virtual Networks (VNets), subnets, Azure network settings, DHCP address blocks, DNS settings, and Security policies to provide high-secure environment for running Linux in Virtual Machines (VM’s) and applications.

•Implemented a CI/CD pipeline with Docker, Jenkins (TFS Plugin installed), Team Foundation Server (TFS),GitHub and Azure Container Service, whenever a new TFS/GitHub branch gets started, Jenkins, our Continuous Integration (CI) server, automatically attempts to build a new Docker container from it. Creating CI/CD using ADF with ARM templates.

•Configured Border Gateway Protocol (BGP) to enable the connection between Data Centers and Azure cloud to exchange routing and reachability information.

•Design and Implementation of Azure Site Recovery in both Disaster Recovery Scenario and for migrating the workloads from On-Premises to Azure.

•Administered and Monitoring Visual Studio Team System (VSTS), taking backups and consolidating collections at the time of migration from one version of VSTS to another.

•Created U-SQL script for transform activities and developed complex queries to transform the data from multiple sources and outputted the data into Azure Data warehouse.

•Configured Blob storage services in Azure for storing large amount of unstructured object data which can be accessible via HTTP and HTTPS.

•Involved in Jira as defect tracking system and configure various workflows, customizations, and plugins for Jira bug/issue tracker integrated Jenkins with Jira, GitHub.

•Deployed web applications over cloud services (web and worker roles) on Azure, using PowerShell. Worked on orchestration tools like Terraform, leverage modern tools like Vault, Kubernetes, Docker, Kafka.

•Have knowledge on partition of Kafka messages and setting up the replication factors in Kafka cluster.

•Worked on the connectivity and Firewall issues for the installation and connectivity of the tools.

•Implemented Azure Active Directory for single sign-on access to thousands of cloud SaaS applications like Office 365, Dropbox.

•Managed major architectural changes from single server large software system to a distributed system with Kubernetes orchestration.

•Built and deployed Docker containers to break up monolithic app into microservices, improving developer workflow, increasing scalability, and optimizing speed.

•Worked on Chef as a configuration management tool and created Chef Cookbooks and modules to automate system operations using Ruby programming language.

•Configured servers to host Team Foundation Server (TFS) instance to setup and manage continuous integration using TF Build Service & deployed JAVA applications to JBoss and Oracle Tuxedo servers.

Client: KP (Kieser Permanente) October 2019 - Feb 2022

Implementation Partner : Persistent Systems

Role : Cloud Engineer AWS

Roles & Responsibilities

•Helped with the project's requirements by building and setting up Red Hat Linux servers utilizing Kick Start server. Maximal uptime and performance capacity were maintained for enterprise production, QA, and UAT/staging.

•AWS knowledge, practical experience setting up new AWS instances, familiarity with EBS and S3 storage, and IAM.

•In charge of setting up monitoring programmers for Ansible, Terraform, Docker, and Jenkins.

•Automate Data Dog Dashboards with Terraform Scripts and the stack.

•Employed Puppet to manage and configure hundreds of servers.

•Using Puppet, automate configuration and management.

•Installed Puppet, Puppet Dashboard, and Puppet DB to existing infrastructure for configuration management.

•Experience in working with Jenkins in a Docker container with EC2 slaves in Amazon AWS cloud environment and also familiar with surrounding technologies such as Mesos (Mesosphere) and Kubernetes.

•Managed Kubernetes charts using Helm. Created reproducible builds of the Kubernetes applications, Kubernetes manifest files and releases of Helm packages.

•Nagios was installed and configured on Linux servers.

•To facilitate the quick deployment of new infrastructure, all configuration management is being pushed into puppet.

•Write terraform scripts for Cloudwatch Alerts.

•Worked on containerizing Openstack services in Docker using Ansible.

•Responsible for implementing monitoring solutions in Ansible, Terraform, Docker, and Jenkins.

•Automate Datadog Integrations through Ansible Scripts for QA, Regression and Prod environments.

•Launching and configuring of AmazonEC2 Cloud Servers using AMI's (Linux/Ubuntu)

•Designed and implemented scalable, secure cloud architecture based on Amazon Web Services.

•Set up the scripts for creation of new snapshots and deletion of old snapshots in S3

•Worked on setting up the life cycle policies to back the data from AWS S3 to AWS Glacier

•Worked with Amazon IAM console to create custom users and groups

•Worked with various AWS EC2 and S3 CLI tools.

•Experienced in Amazon EC2 setting up instances, virtual private cloud (VPCs), and security groups.

•Supported AWS Cloud environment with 1000+ AWS instances and configured Elastic IP and Elastic storage.

•Cloud and system virtualization platforms and tools (AWS,VMWare,Docker, Vagrant).

•Building and configuring of EC2 instance on AWS cloud platform, Configuration of Elastic Load Balancer (ELB) for traffic control for the EC2 and S3 instances.

•Architecting of cost effective infrastructure by utilizing various AWS services and options.

•Building of High Availability and Fault Tolerant infrastructure by utilizing various Amazon regions and availability zones.

•Involved in developing custom images on Cloud using AWS images and on ESX using Templates and involved in building physical servers using Kick start PXE Boot and Jumpstart.

Client: ABB (ASEA Brown Boveri) Dec 2011 to Nov 2013

Implementation Partner: IBM India Pvt Ltd

Role : Senior System Engineer (DevOps AWS/Azure Engineer)

Roles & Responsibilities

•Created recommendations on how to duplicate a subset of on-premise machines to the Azure Infrastructure as a Service (IAAS) offering which will be used for disaster recovery. This analysis included the specifics to synchronize on-premise data with SQL Server and SharePoint instances hosted in VMs.

•Worked on Azure Site Recovery and Azure Backup- Deployed Instances on Azure environments and in Data centers and migrating to Azure using Azure Site Recovery and collecting data from all Azure Resources using Log Analytics and analyzed the data to resolve issues.

•Automated the creation of Infrastructure resources (VPC, Bastions, RDS) needed for an account using Cloud Formation templates.

•Work with our Site Reliability team to identify root cause for issues reported across environment and engage respective teams as needed.

•Created Cloud Formation templates for creating highly available Elasti Cache nodes (both Redis and Memchached).

•Worked on Google cloud platform (GCP) services like compute engine, cloud load balancing, cloud storage, cloud SQL, stack driver monitoring and cloud deployment manager.

•Worked on Designing, Architecting and implementing scalable cloud-based web applications using AWS, Azure and GCP.

•Setup a Jenkins server in production environment which now helps team to run, schedule scripts and is also used for carrying out application deployments.

•Setup Amazon Elastic File System (EFS) to Linux and Windows servers.

•Ensured seamless migration of our applications in the datacenter to the cloud by setting up the cloud environment, deploying applications and configuring monitoring.

•Considering environment setup, present POC’s of technologies & services, to improve current infrastructure as a whole.

Client: AT & T Dec 2011 to Nov 2013

Implementation Partner: IBM India Pvt Ltd

Role : Systems Engineer(Cloud Engineer)

Roles & Responsibilities

•Managed Azure Infrastructure Azure Web Roles, Worker Roles, VM Role, Azure SQL, Azure Storage, Azure AD Licenses, Virtual Machine Backup and Recover from a Recovery Services Vault using Azure PowerShell and Azure Portal.

•Built an application environment to operate at high availability in different Azure regions by using CDN, Azure Traffic Manager, App Services-Web Apps, Active Directory, Storage Queues, Cognitive Services, Azure Search, Storage Blobs, Redis cache, and SQL Database.

•Managed Azure Active Directory to create users, groups, service principal names and multiple custom roles. Used AAD for Single Sign on, Authentication, Authorizations and Azure Role-Based Access Control (RBAC) by using PowerShell Scripts and used Azure Service Bus for communicating within devices in the Azure Cloud.

•Created Azure Backup vault for providing Security to the required Infrastructure using Recovery Points. Implemented Role Based Access Control (RBAC) for Managing Access Control for backup & recovery.

•Worked with Monitor tools like Azure log Analytics Workspace to run log queries with data provided by Azure Monitor to sort, filter and analyze data and used Azure App Insights to monitor the performance, Availability of web applications to integrate with DevOps Processes.

•Implemented ETL and data movement solutions for Data Migration using Azure Data Factory. Built multiple Data Lakes and recreated existing application logic and functionality in the Azure Data Lake, Data Factory and SQL data warehouse environment.

•Created YAML pipelines for CI/CD by integrating Maven, JFROG, SonarQube using Service connections in Azure DevOps pipelines and created multistage pipelines for different environments such as dev, non-prod, and production.

•Created CI/CD pipelines for .Net, node.js, java applications in Azure DevOps pipelines by integrating source codes GitHub, VSTS and Artifacts and Created deployment areas such as Testing, Quality, pre-production, and production environment.

•Designed utilities using .Net, C# Framework to run Azure DevOps release pipeline for agentless job creations.

•Used Governance model for DevSecOps including models for Azure designs and clouds.

•Implemented Hashicorp Terraform to create, change, and improve production infrastructure and maintained versioning infrastructure safely and efficiently.

•Provisioned Terraform for high availability of Azure Infrastructure & also wrote new plugins to support new functionality in Azure, involved in using Terraform to migrate legacy and monolithic systems to Azure.

•Responsible for implementing containerized based applications on Azure Kubernetes by using Azure Kubernetes service (AKS), Kubernetes Cluster for cluster management, Virtual Network to deploy agent nodes, Ingress API Gateway, MySQL Databases and Cosmos DB for stateless storage of external data, and setup reverse proxy Nginx in the cluster.

•Managed Azure Kubernetes Service (AKS) using Helm charts. Created reproducible builds for Kubernetes applications, templatize Kubernetes manifests, providing a set of configuration parameters to customize the deployment and Managed releases of Helm packages.

•Deployed Kubernetes (AKS) templates for various applications like Cassandra, Grafana, and Kafka by setting up Kubernetes Clusters for running microservices into production Environment.

•Implemented large scale environments using Terraform by writing various custom Ansible playbooks for deployment orchestration and developed Ansible Playbooks to simplify and automate day-to-day server administration tasks by using Ansible Tower for deployment.

•Created dashboards and visualizations using Splunk, Grafana and Nagios for performance and activity monitoring and setting up Splunk to capture and analyze data from various layers Load Balancers, Webservers, and application servers.

•Designed Reusable PowerShell Scripts to modify XML configuration files dynamically during release process and used PowerShell Scripts for various SharePoint admin jobs like backup, restoration and Solution.

ACADEMIC PROFILE:

•B. Tech in Computer Science from Karshak Engineering College, JNTU University, Hyd 2006

•PG Diploma in Information Technology from New London College, London, United Kingdom 2009

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