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Cloud Devops Engineer Resume

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Mclean, VA


  • Multiple years of experience in IT industry as a Linux & Windows System Administrator, AWS DevOps Engineer certified by Amazon as Architect and Developer wif a major focus in the areas of AWS, Azure, Data center migration, configuration management, CI/CD pipeline, Virtualization technologies, Linux/Windows administration.
  • Experience architecting and building solutions leveraging DevOps tools such as Ansible, Puppet, Chef and Jenkins, Git, etc.
  • Good understanding of automation practices throughout the development, build and deployment phases of the application life - cycle.
  • Demonstrated ability to support and administer pre-release and production environments for internal facing applications.
  • Experience wif build management and continuous integration tools (Jenkins, Maven).
  • Designed and developed some of the complex modules of the system that user AWS usingScala.
  • Expertise in creating Pods using Kubernetes and worked wif Jenkins pipelines to drive all micro services builds out to the Docker registry and then deployed to Kubernetes.
  • Worked on several Docker components like Docker Engine, Hub, Machine, Docker images, compose, Docker registry and handled multiple images primarily for middleware installations and domain configurations. Used Docker containerization to make our application platform to be consistent and flexible even when they are shifted in multiple environments.
  • Implemented Terraform modules for deployment of various applications across multiple cloud providers and managing infrastructure.
  • Experience wif cloud services (AWS) elastic capacity administration and cloud deployment and administration tool.
  • Build automation using ANT/ Maven and implementation of Continuous Integration through Jenkins/ Teamcity.
  • Experience in Administration for various environments in software development life cycle (SDLC) Windows, Ubuntu and involved in developing manifests.
  • Implement and manage infrastructure as code through Chef.
  • Implement and manage continuous code build and deployment wif Chef.
  • Designed DevOps culture through building relationships wif Development & Operations and driving enhancements to the end-to-end release process (workstation to production).
  • Used Ansible to run ad-hoc commands and playbooks to automate tasks and written playbooks.
  • Protected encrypted data needed for tasks wif Ansible Vault.
  • Experience wif Ansible Tower to more easily manage enterprise Ansible deployments
  • Utilize Puppet for configuration management of hosted instances wifin AWS.
  • Possess good interpersonal skills that has been put to good use in coordinating wif the Project Teams and providing customized solutions.
  • Helping testing team by making sure that all the back-end jobs works TEMPeffectively at the time of QA and UAT.


Operating System: Redhat Linux, Ubuntu, CentOS, Windows, Mac OS X

Automation and Configuration Management Tools: Jenkins, Chef, Ansible, Ant, Maven, Puppet, Docker, Kubernetes, Terraform

Cloud Services: Amazon Web Services, Azure, Google Cloud Platform

Version control tools: GIT, TFS, Subversion (SVN)

Database System: MS SQL Server, MySQL, MongoDB

Application and Web servers: Apache Tomcat, JBoss, Web Logic, Web Sphere

Scripting: Perl, Python, Ruby, Bash shell, Power Shell scripting

Virtualization Technologies: VMware, Windows Hyper-V, Virtual Box, Power VM

Monitoring Tools: Nagios, Splunk, Cloudwatch, ELK

Programming Languages: C, Python, Ruby

Web Programming: HTML, CSS


Cloud DevOps Engineer

Confidential, McLean, VA


  • Implemented Spark using Scala and Spark SQL for faster testing and processing of data.
  • Real time streaming the data using Spark wif Kafka
  • DevelopedHadoopstreaming Map/Reduce works using Python. Real time stream processing wif Apache Kafka and Apache Storm.Hadoopdistributions (Hortonworks & Cloudera.
  • Written Apache Spark streaming API on Big Data distributions in the active cluster environment.
  • Develop Spark code using Scala and Spark-SQL for faster testing and data processing.
  • Worked inAWSenvironment for development and deployment of CustomHadoopApplications.
  • Worked on installing and configuring EC2 instances on Amazon Web Services (AWS) for establishing clusters on cloud.
  • Improving the performance and optimization of existing algorithms inHadoopusing Spark context, Spark-SQL and Spark YARN using Scala.
  • Hands on experience in installing, configuring Cloudera and usingHadoopecosystem components likeHadoopHive, Kafka, Zookeeper.
  • Good noledge on AmazonAWSconcepts like EMR & EC2 web services which provides fast and efficient processing of Big Data
  • Transferred the data using Informatica tool fromAWSS3 toAWSRedshift. Involved in file movements between HDFS andAWSS3.
  • Developed microservice onboarding tools leveraging Python and Jenkins allowing for easy creation and maintenance of build jobs and Kubernetes deploy and services.
  • Involved in implementing deployments intoAWSEC2 wif the help of Terraform.
  • Implemented and designedAWSvirtual servers by Ansible roles to ensure deployment of webapplications. Worked wif multiple development teams to troubleshot and resolve issues.

Environment & Tools: GIT, Jenkins, AWS, Ansible, Terraform, Kubernetes, Shell (bash) Scripts, Python Scripts, Spark, Kafka, Zookeeper, Docker.

Cloud Security Engineer (Azure Cloud)

Confidential, Milwaukee


  • AzureNetworking andSecuritydesign and implementation.
  • Create Connectivity betweenAzureregions and Customer sites- Hybrid cloud- both VPN and Express Route.
  • Migrate applications from On-Premise toAzure.
  • Work wif AD team to Design and Build Windows AD and Exchange environment inAzure.
  • Work wif End User Computing Team to Build Horizon View and RD Gateway solutions inAzure.
  • Work wifSecurityteam to build End User VPN solution inAzure.
  • ConfigureAzureBackup for all the VMs running inAzure.
  • BuildAzureWebapp for Application teams.Create PowerShell Template and JSON templates for the deployments, Design and Build SFTP solution inAzure
  • Work along wif client Architects to move from IaaS Based solution to PaaS where ever possible.
  • Review current Architecture and suggest changes based on newAzureservices and updates.
  • Planning, designing and Implementation of Servers, infrastructure services, application migration to Co-Lo and to public cloudAzure.
  • Designing, planning and Migration of workloads toAzure, and Integrate On-Premise Active Directory toAzureAD.
  • Execute user access provisioning, authentication and access management.
  • Create, document and maintain procedures to properly and efficiently manage user access.
  • Create, modify and delete user account profiles for various systems, applications and directories.
  • Monitor intake points for incidents and service requests around identity and access management (IAM).
  • Participate in IAM review of new technologies, designs, and remediation planning efforts.
  • Coordinate Monthly, Quarterly and Semi-Annual user access reviews in accordance wif company policy and controls.
  • Liaise wif business partners to agree on objectives and maximize the adoption of and support for IAM plans, procedures, and regulatory controls.
  • Troubleshoot and resolve identity and access management issues related to authentication, authorization, entitlement and permission.
  • Maintain noledge of emerging legal, regulatory and technology changes.
  • Leverage Ansible for all install and config aspects of the various core platform systems.
  • Leverage Vagrant for local development, packer builds and integrating existing Ansible playbooks for infrastructure automation testing.
  • Involved in creating Test Plans, for different components wifin the project.
  • Analyzed, revised and created test scenarios per business and functional requirements.
  • Created Test cases, Mockups, Process Flow diagrams from the functional documents.
  • Performed Functional Testing, Regression Testing, System Integration testing, and (UAT) User Acceptance Testing.

Environment & Tools: GIT, Jenkins, Azure, Ansible, Kubernetes, Shell (bash) Scripts, Python Scripts, Palo Alto Network, Symantec, Splunk, Apache Tomcat Application Server, Docker.

Cloud Security Engineer

Confidential, Madison


  • Build expertise in Workflow for Amazon Web services including Security Groups, IAM, EC2, S3, ELB, EBS, Policy, VPC, Docker, Kubernetes, CloudFormation, Chef, Jenkins, Vagrant, Apache, Tomcat, Git and GitHub.
  • Designing and deploying a multitude application utilizing almost all of the AWS stack (Including EC2, Route53, S3, RDS, Dynamo DB, SNS, SQS, IAM) focusing on high-availability, fault tolerance, and autoscaling in AWS Cloud formation.
  • Involved in creating highly available and scalable infrastructure in AWS cloud by using various AWS services like EC2, VPC, Auto scaling, ELB, RDS, Route53.
  • Migrating a production infrastructure into an Amazon Web Services utilizing AWS CloudFormation, Code Deploy, EBS and Ops Works.
  • Responded to a high volume of technical tickets generated by customers
  • Responsible for Linux (Ubuntu and CentOS), Apache,Nginx, MySQL, Rails/Unicorn, and PHP
  • Optimized the EC2 instances run time using Lambda functions and ColudWatch events.
  • Familiarity wif a broad portfolio ofAWSinfrastructure resources (EC2, S3, EBS, Elastic IP, Athena, EMR, Route 53, VPC,SecurityGroups and IAM, RDS).
  • Designed roles and groups for users and resources using cloud permission systemsAWSIdentify Access Management (IAM).
  • Eliminated all duplicate accounts. Aligned business requirements to design specifications, security policies and entitlements.
  • Implemented Okta and multi-factor authentication including voice authentication.
  • Developed birthright role mapping based on user attributes.
  • Support NetIQ Identity Manager to provision to AD, Citrix, Exchange, and Meditech.
  • Implemented SailPoint to replace a home-grown access request system and to facilitate user attestation.
  • Implemented and created the work environments using Chef onAWSprivate VPC which are hosted on the cloud and on-premise data centers.
  • Deployed and hosted the application onAWSusing Ops Works, automated single click deployment ontoAWSusing Chef and Ansible.
  • Developing scripts for deployment of customer environments intoAWS, using Bash and Python.
  • Involved in leading Automation Deployment Team by working wifUrban Code Deploy.
  • Involved in setting up the architecture of proposed environments wif all the CI/CD tools.
  • Configuring and Networking of Virtual Private Cloud (VPC) Written Cloud formation templates and deployed AWS resources using it.
  • Installed Kerberos securedKafkacluster wif no encryption on POC VM’s also set upKafkaACL's
  • In-depth noledge and experience in implementing Service OrientedArchitecture(SOA) using XML based SOAP/RESTful web services.
  • Responsible for design, implementation and end to end operations of the infrastructure platform and services that protect both Intel Security's Cloud Consumer and Enterprise Customers
  • Assisted wif the creation of systems architecture diagrams, troubleshooting documentation and a centralized Wiki used by all DevOps personnel
  • Maintained ownership and responsibilities for the high availability of production environments and the deployment of new services in to production
  • Wrote simple bash shell scripts to speed up menial day to day tasks such as email queue control, RPM verifications, etc.
  • Completed verification of all RPM installations that were approved by our Engineering team
  • Integration wif Site minder/GE Ping Federate/open id /Oauth2

Environment & Tools: GIT, Jenkins, Chef, SVN, Ansible, REST, API, Lambda, AWS EC2, AWS S3 and RDS, Beanstalk, AWS ELB, AWS SQS, AWS ColudWatch and Route53, ANT, MAVEN, Shell (bash) Scripts, Python Scripts, Perl Scripts, Java scripts, Nagios, Apache Tomcat Application Server, Docker.

Cloud DevOps Engineer

Confidential, Arkansas


  • Implement and maintenance RAID array storage systems by fine tuning Bash shell scripts and adding CRON jobs to better system performance tuning and automate archiving system wif CRON jobs in Linux environment.
  • Day to day duties for Unix/Linux server Maintenance and Support to developer's team for their issues wif the application, tuning, troubleshooting, software running on Servers.
  • Performed configuration, deployment and support of cloudservices including Amazon Web Services VPC, ELB, IAM, RDS, IGW, Security Groups, NACL, Direct Connect and VPC peering.
  • Implemented Backup & Recovery, S3 life cycle management, reduced costs by creating Customized Alarms. Managed Billing across several AWS accounts and reduced costs by TEMPeffectively utilizing the resources.
  • Setup Bastion Hosts to connect to private instances inside the VPC so that communication goes between private instances to the internet by creating NAT gateways.
  • Experienced in involving configuring S3 versioning, lifecycle policies, backup files and archive files in the glacier.
  • Written Templates for AWS infrastructure as a code using Terraform and CloudFormation to build staging and production environments.
  • Migrated corporate Linux servers from physical servers to Amazon AWS VPCs.
  • Manage various AWS/AZURE environment for provisioning of Linux servers and services implemented by the providers.
  • Worked on Enterprise Users Single Sign On through browser and through services wif third party application hosted in enterprise or cloud usingPingFederate,PingOne.
  • Implemented Continuous Delivery (CD) framework using Jenkins, Maven, Docker, Bitbucket, Nexus in Linux environment for 70+ micro services in each environmental setup.
  • Implemented anOAuthtoken service for user authentication
  • Performed Regression Testing and unit testing onOAuthend points for all markets and platforms.
  • Overall top level and architect support of a multiple domain tenant in hybrid configuration wifADFSand SSO enabled.
  • Implemented single-sign ON Authentication method wif Office 365 and configured DirSync andADFSfor Active Directory Synchronization.
  • Worked on OpenStack cloud to create instances on the cloud utilizing puppet code. Instances include RHEL instances wif Tomcat and Apache HTTP server.
  • Used ANT and MAVEN as build tools on java projects for the development of build artifacts on the source code.
  • Developing build and deployment scripts using MAVEN from manually and Bit Bucket.
  • Strong use of Shell scripting languages including BASH for Linux and PowerShell for Windows systems.
  • Managing batch jobs in Unix for data automated import/export of data and system automation programming using Perl, Bash, Shell scripting and automated log backup using Python Boto3 API.
  • System log and CloudTrail collection using Splunk, including Splunk installation, collector configuration and multi indexer setup.

Environment & Tools: AWS EC2, S3, VPC, Route 53, CloudFormation, Puppet, Docker, Kubernetes, Chef Terraform, Maven, ANT, Jenkins, GIT, SVN, JIRA, Nagios, Splunk, RHEL, CentOS, Shell scripting, Python Scripting and Perl scripting.

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