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sandeep - aws devops and cloud engineer
[email protected]
Location: Sacramento, California, USA
Relocation:
Visa:
Sandeep Reddy

PROFESSIONAL SUMMARY

An Azure & AWS Certified Developer with 7+ Years of experience in IT industry which includes System Administrator, Linux Administrator, Release & Build Engineer, DevOps and Cloud engineer, experience in solution architecting applications and running them in the cloud and experience in network and security design for applications in the cloud. Also done extensive automation using cloud APIs and cloud SDKs to create infrastructure programmatically in the cloud.
Experience migrating infrastructure and application from on premise to Azure and from Cloud to Cloud such as AWS to Microsoft Azure and GCP.
Hold strong experience in Software Development Life cycle (SDLC), Software Testing Life Cycle (STLC), and implementing different software methodologies, Agile, RUP and Waterfall.
Expertise in Architecting and Implementing Azure Service Offering, such as Azure cloud services, Azure storage, IIS, Azure Active Directory (AD), Azure Resource Manager (ARM), Azure Storage, Azure, Blob Storage, Azure VMs, SQL Database, Azure Functions, Azure Service Fabric, Azure Monitor, and Azure Service Bus.
ProfessionalexperienceinusingcoreTechnologiesJava, J2EE, Servlets, JSP, JDBC, JavaBeans , JavaScript, JNDI, HTML, XML, Web services, AngularJS, Bootstrap framework, jQuery
GoodexperienceonworkingwithAmazonWebServiceslikeEC2,S3 , Amazon Simple DB , Amazon RDS , Amazon Elastic Load Balancing, Amazon SQS , AWS Identity and access management, AWS Cloud Watch, Amazon EBS and Amazon Cloud Front
Used ajax and java scripts for validation and integrating business server-side components with in client side.
Setting up Dynatrace agents for application servers and analyzing issues using Dynatrace.
Experience in Orchestrating and migrating CI/CD processes using Cloud Formation and Terraform Templates and Containerized the infrastructure using Docker, which was setup in Vagrant, AWS and VPCs.
Experience in designing AWS Cloud Formation templates to create custom sized VPC, subnets, NAT to ensure successful deployment Of Web applications and database templates and good working experience on AWS Kinesis. Worked in Developing and Managing CI/CD Pipelines for Mobile Applications for Android and IOS.
Hands on experience on Backup and restore Azure services and in Design and configure Azure Virtual Networks (VNets), subnets, Azure network settings, DHCP address blocks, DNS settings, security policies and routing. Azure cloud services, Blob storage, Active directory, Azure Service Bus, Cosmos DB.
Advise Customers on security Architecture, Best Practices, and Solutions, offering guidance and troubleshooting within cloud.
Extensive experience on AWS services and its included components EBL, EC2, S3, VPC, NACL s, Cloud Trials, AMI, SNS, Cloud Formation, Route 53, Network Connectivity troubleshooting, Hybrid Environments and VPC peering.
Experience in deploying a web application into AWS cloud where in automated the configurations using Terraform.
Provisioned the highly available EC2 Instances using Terraform and cloud formation and wrote new plugins to support new functionality in Terraform.
Experience working on several Docker components such as Docker Engine, Machine, Creating Docker Images, Compose, Docker Hub and handle multiple images primarily for middleware installations and domain configuration.
Experience with Kubernetes to automate the deployment, scaling and operations of application containers across clusters of hosts.
Experience in using JenkinsAPI to query the Jenkins server state and change configuration and automate tasks on nodes and jobs. Experience in monitoring tools such as Nagios, Splunk, ELK.
Worked with the version control tools such as GIT, Subversion (SVN) wherein experienced with tagging, branching on platforms like Linux and Windows.
Worked on the scripting languages like Shell (Bash), Python, Ruby, and Perl for automation.

TECHNICAL SKILLS:

Cloud Azure, AWS, OpenStack, GCP
Configuration Management Tools Chef, Puppet, Ansible, Terraform
CI/CD Tools Jenkins, Hudson, Bamboo
Build Tools ANT, Maven, Gradle
Container Tools Docker, Kubernetes
Version Control Tools GIT, CVS, SVN, Bit Bucket.
Monitoring Tools Nagios, Splunk, ELK, Cloud watch
Scripting Bash/Shell, Perl, Python, Ruby.
Databases My SQL, MS Access, Oracle 9i/10g/11g, DB2, NoSQL (MongoDB, DynamoDB)
Application Servers & Web Servers WebLogic 9.x/10.x, WebSphere 6.x/7.x/8.x, JBOSS 4.1, Apache HTTP, Nginx, Apache TOMCAT
Networking DNS, DHCP, SMTP, HTTP, SNMP
Operating Systems Linux (Red Hat 4/5/6/7), UBUNTU, UNIX, WINDOWS NT/2000/2003/XP/VISTA/7/8/10.
Virtualization Tech VMware vSphere ESXi 5.x/4.x, ESX /3.x, VMware Workstation, Oracle Virtual box

CERTIFICATIONS:

Azure 204 Certified
Azure 104 Certified
Amazon Web Services Developer Associate
Basic Chef Fluency Badge
Amazon Web Services Solution Architect

Education:
Masters in information technology Apr 2017
Wilmington University
Bachelor of Technology May 2015
JNTU







EMPLOYMENT EXPERIENCE

UCLA Health, LA Mar 2022 to Present
Sr. DevOps/Cloud Engineer

Responsibilities:

Worked in building and Installing servers through Azure Resource Manager Templates or Azure Portal. Migrating an On-premises virtual machine to Azure Resource Manager Subscription with Azure Site Recovery and deployed to Azure and customized build process using PowerShell.
Worked in configuring Cloud platform such as Virtual Networks Multi-site, Cross-site, VMs, Azure Active
Directory, Load Balancers, Azure SQL, Cloud Services etc. and Created Azure Backup vault and protecting required VMs to take the VM level backups in Azure.
Created aws lambda using java to perform event driven processing.
Built products using java and Scala based framework for the enterprise.
Involved in writing java api for amazon lambda to manage some of the aws services.
Used aws beanstalk for deploying, scaling web applications and services developed with java.
Manage build phase and quality assure code to ensure fulfilling requirements and adhering to ETL spark integration with AWS cloud services.
Creation of complex etl mappings, creation of etl test cases, provide solution to etl analytics team.
Solid expertise in using different etl scheduling tools. AutoSys and control -m using along with database scheduler.
Oversee the complete aws event based etl pipeline design supporting and working with cross functional teams.
Automated cloud native applications in Azure using azure functions and AKS.
Created modules for interacting with azure services which provides the tools to create and orchestrate infrastructure.
Worked on Power Shell scripts to automate the Azure Cloud system in creation of VM, Resource groups, Web Applications, Azure Storage Blobs & Tables, firewall rules and used Python scripts to automate day to day administrative tasks and also Automated and orchestrated workloads using terraform, Ansible, Salt stack and
Worked in developing the API S to see users who hit the application URL to check the user telemetry and
developed API to fetch the data to telemetry data according to dates which would be shown in JSON.
Implemented Blue/Green deployment strategy by creating new applications which are identical to the existing
production environment by using automation frameworks such as ARM and terraform templates.
Extensively worked on Terraform modules that had version conflicts to utilize during deployments to enable more
Worked in setting up and building AWS infrastructure various resources VPC, RDB, EC2, S3, IAM, Security Groups, Auto scaling, and RDS in cloud formation JSON templates.
Designed and implementing AWS Cloud Infrastructure by creating templates for AWS platform also used Terraform to deploy the infrastructure necessary to create development, test, and production environments.
Written terraform code to attach the web servers and media servers to the target group of Application Load balancer and configured the DNS record for the load balancer.
Expertise in implementing a production ready, highly available, fault tolerant Kubernetes infrastructure and Worked on Scheduling, deploying and managing container replicas on a node cluster using Kubernetes.
Set up build environment integrating with Git and Jira to trigger builds using Web Hooks and Slave Machines by integrating Docker container-based test infrastructure to Jenkins CI test flow.
Created scripts in Python to automate log rotation of multiple logs from web servers. Worked on Bootstrapping instances using Chef and integrating with auto scaling.
Created an automated way to rotate the IAM access keys for every 90 days including the CloudWatch alarms to change the status of keys in regular basis.
Designed an automated approach to scan AWS accounts using Prowler to identify the security vulnerabilities and deliver them to the development teams. Created a Code build pipeline in AWS to generate a CI/CD flow.
Written Python scripts to automate the AWS key Rotation used AWS Lambda to deploy the scripts.
Experience in Blue/Green deployment strategy by creating new applications which are identical to the existing production environment by using automation frameworks such as cloud formation templates and terraform templates.
Expertise in designing an architectural diagram for different applications before migrating into Amazon cloud for achieving a flexible, cost-effective, reliable, scalable, high-performance, and secured solution.
Created snapshots and Amazon Machine Images (AMI) of the instance for backup and created Identity Access Management (IAM) policies for delegated administration within AWS.
Designed and implemented a Python based script to parse newsletter emails and insert news article metadata into a MySQL database using the IMAP and Regular Expression libraries.
Worked on AWS code pipeline, code deploy, code build, code commit for setting up continuous integration & deployments.
Currently working on Dashboard Designing for Cloud migration project using the following tools, like Splunk, Data Dog, CloudWatch and Kubernetes
Attached ELK stack with EC2 and ELB to store logs and metrics by using AWS lambda function used AWS lambda.
Worked in setting up the secured infra by adding SAST tool SonarQube including it into the CI/CD in GitHub Actions, GitLab pipelines for all the Java, Python projects.
Worked with Ansible and Ansible Tower as Configuration management tool, to automate repetitive tasks, quickly deploys critical applications, proactively manages change, and well versed with Ansible Playbooks, modules.

Kroger, Cincinnati, OH Feb 2021 to Feb 2022
Sr. DevOps/Cloud Engineer

Responsibilities:


Design Azure-based technical architectures, migration approaches, and application optimizations that enable the Product. Working with application Teams to setup infrastructure using Terraform.
Building release pipelines using CI/CD tooling with Azure DevOps and GitHub Actions.
Lead the design and implementation of Azure hosted environments and migrate existing on-premises infrastructure to Azure.
Automated cloud native applications into azure and Kubernetes on azure.
Create and Maintain CI/CD pipelines and tooling to ensure the consistent and accurate deployments. Setup GitHub Actions for many Productions and Non-production Teams.
Be a technical advisor and perform troubleshooting to resolve technical challenges with cloud infrastructure
Worked with Terraform Templates to automate the Azure Iaas virtual machines using terraform modules and deployed virtual machine scale sets in production environment
Written Templates for azure infrastructure as a code using terraform to build staging and production environments. Integrated Azure log Analytics with Azure VMS for monitoring log files, store them and track.
Building and Installing servers through Azure Resource Manager Templates or Azure Portal.
Migrating an On-premises virtual machine to Azure Resource Manager Subscription with Azure Site Recovery.
Worked on various Azure services like Compute (Web Roles, Worker Roles), Azure Websites, Caching, SQL Azure, NoSQL, Storage, Network services, Azure Active Directory, API Management, Scheduling, Auto Scaling, and PowerShell Automation.
Moderate and contribute to the support forums (specific to Azure Networking, Azure Virtual Machines, Azure Active Directory, Azure Storage) for Microsoft Developers Network including Partners
Involved on migrating SQL Server databases to SQL Azure Database using SQL Azure Migration Wizard and used Python API to upload agent logs into Azure blob storage.
Worked with Terraform key features such as Infrastructure as code, Execution plans, Resource Graphs, Change Automation and extensively used Auto scaling for launching Cloud instances while deploying microservices.
Managed an Active Directory site; replication schedules, site links and boundaries, used ADUC to create and manage computer, user, and group accounts in an Active Directory environment.
Setup Azure Virtual Appliances (VMs) to meet security requirements as software-based appliance functions (firewall, WAN optimization and intrusion detections).
Responsible for OpenStack project core infrastructure including code review, continuous integration systems, and developer tools and OpenStack Multi node Installation, Configuration and Administration.
Deployment and maintenance of Linux Server systems like RHEL/CentOS/Ubuntu to run OpenStack Cloud environment.
Developed large scale deployment scripts to run security, vulnerability scans and reduce defects on client servers.
Configured Azure Security groups and Network ACLs policies for additional layer of security.
Worked on Docker Container snapshots, attaching to a running container, removing images, managing directory structures, and managing containers.
Performed the automation using Chef Configuration management and managing the infrastructure environment with puppet. Responsible for large-scale puppet implementation and maintenance. Puppet manifests creation, testing and implementation.
Building/Maintaining Docker container clusters managed by Kubernetes Linux, Bash, GIT, Docker.
Used Kubernetes during debugging. Leading up to production when multiple application build must be tested for stability.
Managed local deployments in Kubernetes, creating local cluster and deploying application containers. Created private cloud using Kubernetes that supports DEV, TEST, and PROD environments.
Configured and maintained Jenkins to implement the CI process and integrated the tool with Maven to schedule the builds. Took the sole responsibility to maintain the CI Jenkins server.
Configured Jenkins for doing the build in all the non-production and production environments.
Developing build using MAVEN as build tool and using Jenkins to kick off the builds to move from one environment to other environments.
Written Shell scripts to apply the Integration label to all the files which needs manual labelling of files.


MetLife, Cary, NC Feb 2020 to Feb 2021
Sr Cloud Engineer

Worked in highly collaborative operations team to streamline the process of implementing security Confidential AWS cloud environment and introduced best practices for remediation
Worked on designing and deploying a multitude application utilizing almost all the main services of the AWS stack (like EC2, S3, RDS, VPC, IAM, ELB, EMR Cloud watch, Route 53, Lambda and Cloud Formation) focused on high availability, fault tolerance environment.
Automated the Infrastructure Creation process using CloudFormation Stacks. Used CF Stacks to spin-up various AWS resources including VPC, Subnets, Internet Gateway, Routing table, subnets, NAT instance, EC2, RDS, DynamoDB, Cloud watch Log groups, S3 Bucket and CloudFront distributions.
Introduced new features and solved existing bugs by developing code for a cloud-based integration platform (iPaaS) and Migrated customer data from legacy iPaaS to AWS
Created Terraform scripts for EC2 instances, Elastic Load balancers and S3 buckets. Implemented Terraform to manage the AWS infrastructure and managed servers using configuration management tools like Chef and Ansible.
Used AWS Lambda for automatic triggering of threats and suspicious activities obtained from Amazon Guard Duty.
Automated Amazon AWS Guard Duty to inspect and pull logs from various sources such as Amazon CloudTrail, Amazon VPC Flow and DNS logs for cloud automation
Configured AWS Config Rules to evaluate AWS resources for compliance. Implemented automated system patching through AWS Systems Manager
Worked on AWS SQS to consume the data from S3 buckets. Imported the data from different sources like AWS S3, Local file system into Spark RDD.
Created AWS VPC with private and public subnets for each environment, created NAT instances. VPC Peering between different VPC s within the organization.
Created Azure services using ARM templates (JSON) and ensured no changes in the present infrastructure while doing incremental deployment
Amazon IAM service enabled to grant permissions and resources to users. Managed roles and permissions of users with the help of AWS IAM
Configured AWS Multi Factor Authentication in IAM to implement 2 step authentication of user's access using Google Authenticator and AWS Virtual MFA
Deployment, configuration and management of AWS Systems Manager Agent and CloudWatch Agent was done
Created an automated AMI creation Jenkins pipeline with Packer, Ansible and AWS inspector to create golden/application images that are hardened to CIS recommended benchmark and the AMI is only created if no HIGH priority vulnerabilities are detected by AWS Inspector assessment.
Worked with Secrets Management and storage using AWS Secrets Manager, Systems Manager Parameter Store and Vault
Designed and implemented Security controls and forensic analysis for Cloud native apps - (AWS Security Hub, Azure Security Center, GCP Cloud IAM, Cloud Armor, Cloud Endpoints, Identity-Aware Proxy, Audit and VPC Flow logs, Snapshots, Security Command Center)
Worked on VMware tools: Tanzu Kubernetes Service, Tanzu Mission Control, Tanzu service mesh and other TANZU tools, Worked with Nginx ingress gateway and ISTIO
Implemented a Continuous Delivery pipeline with Docker, and GitHub Experimented with Docker by using Docker-compose and Docker Swarm
Implemented build stage- to build the micro service and push the docker container image to the private docker registry and used azure Devops Pipeline to drive all microservices builds out to the Docker registry and then deployed to Kubernetes, Created Pods and managed using Kubernetes
Used EKS to deploy a managed Kubernetes cluster in AWS and created an EKS cluster in the AWS portal, with the AWS CLI, also used template driven deployment options such as Resource Manager templates

BCBS, Jacksonville, FL Jan 2019 to Jan 2020 AWS Devops Engineer

Florida Blue (Blue Cross Blue Shield). Build servers using AWS, importing volumes, Launching EC2, RDS, creating Security groups, Auto-scaling, Load balancers (ELBs) in the defined virtual private connection.
Understanding of secure-cloud configuration, CloudTrail, AWS Configuration, Cloud security Technologies like VPC, Security Groups, etc. and cloud-permission systems (IAM).
Leveraged AWS cloud services such as EC2, auto-scaling and VPC to build secure, highly scalable, and flexible systems that handled expected and unexpected load bursts. Managed AWS infrastructure as code using Terraform.
Used Terraform scripts to Automate Instances for Manual Instances that were launched before.
Extensively involved in infrastructure as code, execution plans, resource graph and change automation using Terraform.
Created Docker file for each micro service's and changed some of the tomcat configuration file which are required to deploy Java based application to the Docker container.
Developed environments of different applications on AWS by provisioning on EC2 instances using Docker, Bash and Terraform.
Managed local deployments in Kubernetes, creating local cluster and deploying application containers. Created private cloud using Kubernetes that supports DEV, TEST, and PROD environments.
Worked in writing Templates for AWS infrastructure as a code using Terraform and Cloud Formation to build staging and production environments. Defined Terraform modules such as Compute, Network, Operations, and Users to reuse in different environments
Used Kubernetes during debugging. Leading up to production when multiple application build must be tested for stability.
Designed, built, and deployed a multitude application utilizing almost all the AWS stack (Including EC2, R53, S3, RDS, Dynamo DB, SQS, IAM, and EMR), focusing on high-availability, fault tolerance, and auto- scaling.
Wrote Ansible Playbooks with Python SSH as the Wrapper to Manage Configurations of AWS nodes and Tested Playbooks on AWS instances using Python and responsible for running Ansible Scripts to Provide Dev Servers.
Developed playbooks using Ansible and Automation agent's installation of Nagios on windows servers and Linux servers.
Worked on Docker set up, created new images, and pulled images from Docker Hub. Also, created, managed, and updated Docker Containers for deploying applications on different environments.
Worked on Microsoft Azure cloud to provide IaaS support to client and created custom virtual machine (instances) though PowerShell scripts and Azure portal.
Creating and Managing VMs in Windows Azure and setting up communication with the help of Endpoints and VM Migrations from Transitional hosts and VMware.
Creating Splunk apps for Enterprise Security to identify and address emerging security threats using continuous monitoring, alerting and analytics and setting up of Splunk dashboards for continuous monitoring for production support.
Configure various plugins (Ant/Maven) needed for Jenkins s workflow automation and Install Jenkins master slave nodes required for troubleshooting testing builds during Jenkins s build process.
Proficient with Jenkins and Bamboo for continuous integration and for End-to- End automation for application build and deployments.
Analyze and resolve conflicts related to merging of source code for GIT. Performed all necessary day-to-day Subversion/GIT support for different projects.
Integrated Bitbucket with JIRA for transition JIRA issues from within Bitbucket Server and monitored the JIRA issues in Bitbucket Server.
Delta Airlines, Atlanta, GA. July 2017 to Dec 2018
Sr. Cloud Engineer

Design, install, administer, and optimize hybrid cloud components to ensure business continuity (i.e., Azure AD, ADFS, SSO & VPN Gateways).
Managed an Active Directory site; replication schedules, site links and boundaries, used ADUC to create and manage computer, user, and group accounts in an Active Directory environment.
Managed the Windows Azure infrastructure for our customers depends on their requirement. Worked on Microsoft Azure Storage - Storage accounts, blob storage, managed and unmanaged storages.
Provided consulting and cloud architecture for premier customers and internal projects running on MS Azure platform for high availability of services, low operational costs.
Setup Azure Virtual Appliances (VMs) to meet security requirements as software-based appliance functions (firewall, WAN optimization and intrusion detections).
Responsible for OpenStack project core infrastructure including code review, continuous integration systems, and developer tools and OpenStack Multi node Installation, Configuration and Administration.
Developed large scale deployment scripts to run security, vulnerability scans and reduce defects on client servers.
Handled log management and networking monitoring applications to track security breaches and flaws for 140+ servers.
Configured Azure Security groups and Network ACLs policies for additional layer of security.
Build server deployment on Cloud AWS (EC2) servers with help of puppet and used puppet for provisioning.
Automated deployment of Linux applications, system configuration and security settings using Puppet Enterprise.
Worked on Puppet manifest files creation to install Web logic instances and to manage configuration files. Used Ant, Puppet Scripts with Ivy to build the application and deploy it.
Worked on Docker Container snapshots, attaching to a running container, removing images, managing directory structures, and managing containers.
Performed the automation using Chef Configuration management and managing the infrastructure environment with puppet. Responsible for large-scale puppet implementation and maintenance. Puppet manifests creation, testing and implementation.
Building/Maintaining Docker container clusters managed by Kubernetes Linux, Bash, GIT, Docker.
Developed the middle tier using EJBs Stateless Session Bean, JAVA servlets. Developed various helper classes needed following core Java multi-threaded programming and Collection classes.
Managed local deployments in Kubernetes, creating local cluster and deploying application containers. Created private cloud using Kubernetes that supports DEV, TEST, and PROD environments.
Integrated Automated Build with Deployment Pipeline. Currently installed Chef Server and clients to pick up the Build from Jenkins repository and deploy in target environments (Integration, QA, and Production).
Configured and maintained Jenkins to implement the CI process and integrated the tool with Maven to schedule the builds. Took the sole responsibility to maintain the CI Jenkins server.
Developing build using MAVEN as build tool and using Jenkins to kick off the builds to move from one environment to other environments.
Configuring and maintaining Continuous Delivery framework in Linux environment using Chef, Maven, Jenkins & Nexus.
Created and maintained user accounts, roles on Jira, MySQL, production, and staging servers.
Experience in WebLogic 9.x/10.x to implement zero downtime deployment using python and bash/shell script and used Jenkins to automate it.
Written Shell scripts to apply the Integration label to all the files which needs manual labelling of files.
Coordinate/assist developers with establishing and applying appropriate branching, labelling/naming conventions using GIT source control.
AT&T, Dallas, TX July 2016 to June 2017
Cloud Engineer

Created AWS cloud formation templates to create custom sized VPC, subnets, EC2 instances, ELB, security groups. Worked on tagging standard for proper identification and ownership of EC2 instances and other AWS Services like Cloud Front, cloud watch, RDS, S3, Route53, SNS, SQS, Cloud Trail.
Implemented and maintained the monitoring and alerting of production and corporate servers/storage using AWS cloud watch.
Project involves designing and building the screens to create product and computing premium through rating algorithm for policy.
Worked on creating workflows on Team City for setting up automated pipelines for CI/CD with PCF and documented all the process of CI/CD pipeline.
Implemented business layer using Core java, Spring Beans using dependency injection, Spring annotations.
Developed Micro Services using Spring Boot and deployed them into the PCF.
Designing AWS VPC Infrastructure as per Federal Information security Management Act (FISMA).
Created Ansible Playbooks and Puppet Manifests to provision Apache Web servers, Tomcat servers, Nginx, Apache Spark, and other applications.
Helped convert VM based application to microservices and deployed as a container managed by Kubernetes
Built complete Configuration Management for the Microservices using Kubernetes, Docker and Ansible and Used Kubernetes to setup service selection and load balancing.
Used to build automation Jenkins s server, Install and configuration of Jenkins, configure plugins, job setup, and build pipeline and delivery pipeline views.
Fully responsible for DevOps infrastructure architecture, Jenkins, Puppet and Ansible implementation, Responsible for CI infrastructure and CD infrastructure and process and deployment strategy.
Created and maintained the Shell/Perl deployment scripts for TC Server/Tomcat web application servers.
Installed/Configured and Managed Nexus Repository Manager and all the Repositories.
Hosting and Deployment of Solution in PACI (Parallels Automation Cloud Infrastructure) through Linux, Windows, and VMware server platform. Integrated Bitbucket with JIRA for transition JIRA issues from within Bitbucket Server and monitored the JIRA issues in Bitbucket Server. Developed and implemented Software Release Management strategies for various applications according to the agile process.
Created and maintained the Python deployment scripts for Tomcat web application servers.
Manage users and groups in Solaris & Linux servers to create, modify and delete users/groups and troubleshooting user related issues.
Used Virtual Box for teleportation of running virtual machines between hosts without interruption.

Ordushion Technologies, Atlanta, GA Sep 2015 to June 2016
Devops Engineer Intern

Deployed AWS Solutions using EC2, S3, and EBS, Elastic Load balancer (ELB), auto-scaling groups and OpsWorks.
Planed, deployed, monitored, and maintained Amazon AWS cloud infrastructure consisting of multiple EC2 nodes and VMWare virtual machines as required in the environment.
Performed S3 buckets creation, policies on the IAM role based polices and assigned to cloud instances.
Created Python scripts to totally automate AWS services which includes web servers, ELB, Cloud Front distribution, database, EC2 and database security groups and application configuration, this script creates stacks, single servers, or joins web servers to stacks.
Worked on documentation - Chef basics, Initial setup of Chef, Data bags implementation, Coding standards, Cookbook document, Testing docs.
Implementing a Continuous Delivery framework using Jenkins, CHEF, Maven in Linux environment. Created virtual environments via vagrant with chef client provision.
Designed CI/CD Pipelines to make use of Docker files and Make files for building docker images and validating containers using entry points.
Virtualized the servers using the Docker for the test environments and development environment and performed configuration automation using Docker containers.
Maintained Jenkins continuous integration tool using shell/Perl and ruby scripts for automating releases to different environments.
Wrote Ansible Playbooks with Python SSH as the Wrapper to Manage Configurations of AWS Nodes and Test Playbooks on AWS instances using Python.
I wrote the ansible playbooks which is the entry point for Ansible provisioning, where the automation is defined through tasks using YAML format. Run Ansible Scripts to provision Dev servers.
Keywords: continuous integration continuous deployment quality analyst sthree database active directory information technology microsoft Florida Georgia Louisiana North Carolina Ohio Texas

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