SUMMARY

• 8 years of IT industry experience as a DevOps/AWS Engineer. Production Support of various applications onRed Hat Enterprise Linux 7.x, 6.x, 5.x, IBM - AIX, Oracle Solaris OS environments.
• Implemented multi-tier application provisioning in AWS cloud, integrating it with Chef and Ansible.
• Hands on experience in Azure Development, worked on Azure web application, App services, Azure storage, Azure SQL Database, Virtual machines, Fabric controller, Azure AD, Azure search, and
• notification hub.
• Designed, configured and deployed Microsoft Azure for a multitude of applications utilizing the Azure stack (Including Compute, Web & Mobile, Blobs, Resource Groups, Azure SQL, Cloud Services, andARM), focusing on high - availability, fault tolerance, and auto-scaling.
• Expertise in Microsoft Azure Cloud Services ( PaaS & IaaS ), Application Insights, Document DB,Internet of Things (IoT), Azure Monitoring, Key Vault, Visual Studio Online (VSO) and SQL Azure.
• Developed methodologies for cloud migration, implemented best practices and helped to develop backup and recovery techniques for applications and database on virtualization platform.
• Extensive involvement in Designing Azure Resource Manager Template and in designing custom build steps using PowerShell.
• Designed and developed Cloud Service projects and deployed to Web Apps, PaaS, and IaaS.
• Configured SQL Server Master Data Services (MDS) in Windows Azure IaaS. Extensive experience in setting up the CI/CD pipelines usingJenkins, Maven, Nexus, GitHub, Ansible, Terraform and AWS.
• Hands on experience with CI tools like Jenkins and Bamboo.
• Experience in Designing, Architecting and implementing scalable cloud-based web applications usingAWSandGCP.
• Set up aGCPFirewall rules in order to allow or deny traffic to and from theVM'sinstances based on specified configuration and usedGCPcloudCDN(content delivery network) to deliver content fromGCPcache locations drastically improving user experience and latency.
• Having good Experience in configuration management tools like Ansible and Chef for Deployment to Multiple platforms.
• In-depth knowledge of computer applications and scripting like Shell, Python and Ruby.
• Hands on Experience in Database Administration like Oracle, SQL, MySQL and PostgreSQL.
• Expertise in Querying RDBMS such as Oracle, MY SQL and SQL Server by using PL/SQL for data integrity.
• Installed, configured and maintained DNS systems using BIND, Route53 (AWS), and PowerDNS.
• Expert Knowledge in Virtual servers including VMwareESX server, OpenVZ and also Performed P2Pand P2Vmigrations across OpenVZ, VMware and AmazonEC2 environment.
• Experience in Creating and maintaining containerized microservices and configuring/maintaining private container registry onMicrosoft Azurefor Hosting Images and using Windows Active Directory to secure anAzure ADdomain services managed the domain withLDAPS.
• Experience in migrating on-premises toWindows Azureand buildAzure Disaster RecoveryEnvironment andAzurebackups from the scratch usingPowerShellscript.
• Experience on setting up monitoring tools like NewRelic and logging tools like Splunk and ELK.
• Well known about installation, configuration and maintenance of applications like Tomcat and Jboss.
• Experience working Data Center’s managing Servers, SAN and NAS devices like HP, Cisco, Brocade, EMC and HDS devices.
• Experienced in branching, tagging and maintaining the version across the environments using SCM tools like GIT, Git lab and Bitbucket on Linux platforms.
• Full understanding of SDLC, Agile Methodologies and process.
• Ability in managing all aspects of the software configuration management process including code compilation, packaging, deployment, release methodology and application configurations.
• Excellent communications skills, configuration skills and technical documentation skills.

TECHNICAL SKILLS

DevOps Tools: Bitbucket, GIT, subversion and Gitlab.

Build Tool: Ant, Maven, nexus and JFrog Artifactory.

CI tools: Jenkins/Hudson, GoCD and Bamboo

Bug tracker & Testing: JIRA.

Monitoring: NewRelic, Splunk, ELK and AppDynamics

Project Management Tools: MS Share point, Atlassian Tools, Team Foundation Server, Demandware

SDLC: Agile, Scrum Methodologies, Waterfall

Environment Servers: AEM, JBoss, Apache Tomcat, IntelliJ IDEA, Oracle Web logic and IBM Web sphere.

Scripts & Program Lang.: Shell Script, Groovy, Ruby and Python.

Database: SQL Server, Oracle, DynamoDB, MS Access, PostgreSQL and MySQL.

Platforms: Linux, Ubuntu, Fedora, Windows

PROFESSIONAL EXPERIENCE

Confidential - Charlotte, NC

Sr AZURE CLOUD SUPPORT ENGINEER

Responsibilities:

• Designed and configured Azure Virtual Networks (VNets), subnets, Azure network settings, DHCP address blocks, DNS settings, security policies and routing.
• Deployed Azure IaaS virtual machines (VMs) and Cloud services (PaaS role instances) into secure
• VNets and subnets.
• Designed VNets and subscriptions to confirm to Azure Network Limits. Exposed Virtual machines and cloud services in the VNets to the Internet using Azure External Load Balancer.
• Provided high availability for IaaS VMs and PaaS role instances for access from other services in the VNet with Azure Internal Load Balancer.
• Implemented high availability with Azure Classic and Azure Resource Manager deployment models. Created and deployed VMs on the Microsoft cloud serviceAzure, created and managed the virtual networks to connect all the servers and designedARMtemplates forAzureplatform.
• Configured three types of blobs, block blobs, page blobs, and append blobs inAzurefor storing a large amount of unstructured object data such as text or binary data, that can be accessed from anywhere viaHTTPorHTTPS.
• Worked onAzure Fabric,Microservices,IoT&Dockercontainers in and involved in setting upTerraformcontinuous build integration system. UsedAzureInternal Load Balancer to provide high availability forIaaS VMs&PaaSrole instances.
• Working on implementing new OCR solution; Spring Boot,OpenShift, microservices. Member of group developing containerized applications; Docker, Spring Boot, Kubernetes,OpenShift. Deployed Microservices to OpenShift.
• ImplementedAnsibleto manage existing servers and automate the build/configuration of new servers. Customized theAnsiblemodules for finding facts about cloud and taking actions to manage those alarms during deployments
• BuiltJenkinspipeline to drive all microservices builds toDockerregistry and deploy toOpenshift.
• Performed automation ofCI/CDpipeline usingJenkinsshared libraries and multibranch pipeline and automated the static code analysis throughSonarQube.
• DevelopedAnsibleplaybooks for automatic deployment and configuration ofRHELservers for test and prod environments.
• Wrote Ansible Playbooks with Python SSH as the Wrapper to Manage Configurations of AWS Nodes and Test Playbooks on AWS instances using Python.
• Used Gradle and written python scripts to automate the Build and deployment process. Used maven for few modules.
• Used ANT and MAVEN as a build tools on java projects for the development of build artifacts on the source code. Converting the ANT Build projects to Maven Build projects.
• Configure Control-M server to trigger the batch jobs.
• Implemented RCA monitoring for Application and cluster level alerts.
• Architect, Design and deliver Encryption, key management and PKI related solutions
• Design, develop and implement PKI processes.
• Worked on oracle data integration ETL data mappings for source data extractions.
• Worked in ETL design and development understanding the tradeoff of various design option on multiple platform using multiple protocols.

Environment: Microsoft Windows Azure, Windows server 2012/R2/2013, Windows PowerShell, Microsoft Azure Storage AZURE, Chef, Docker, Ansible, Jenkins, Terraform, Kubernetes, ANT, Maven, SonarQube, DAP, Microsoft Azure Storage, Python Scripts, Perl Scripts, Informatica 9.0/8.6

Confidential - Phoenix, AZ

AZURE CLOUD ENGINEER

Responsibilities:

• Worked on Microsoft Azure (Public) Cloud to provide IaaS support to client. Create Virtual Machines through Power Shell Script and Azure Portal.
• Manage and Create Storage Account and Affinity Group in Azure Portal. Capture an image of a Virtual Machine. Attaching a Disk to a Virtual Machine. Manage and create Virtual Network and End Points in Azure Portal.
• Deploying VM's, Storage, Network and Affinity Group through PowerShell Script. Creating Storage Pool and Stripping of Disk for Azure Virtual Machines. Backup, Configure and Restore Azure Virtual Machine using Azure Backup.
• Taking Backup to cloud Storage Account using Cloudberry Cloud Storage Tools. Configure Site to Site VPN Connectivity.
• Configure Window Failover Cluster by creating Quorum for File sharing in Azure Cloud.
• Convert existing Virtual Machine from Standard to Premium Storage Account. Patching and Validating of Virtual Machine in Azure. Engineer solutions on GCP foundation platform using Infrastructure As Code methods (e.g. Terraform)
• Monitor Azure Infrastructure through System Center Operation Manager (SCOM).
• Coordinating with Microsoft for increasing subscription limit like- Core limit and Cloud Services.
• Handling and Resolving Client's Issues remotely.
• Installing and configuringTerraformand building the infrastructure using terraform configuration file.
• Built Jenkins jobs to createAWS infrastructure from GitHubrepos containing terraform code.
• UsedSplunkto monitor the system logs as well as notify the incident management system upon exceeding thresholds.
• We are driving towards continuous integration and continuous delivery using Jenkins and Ansible for docker image building and deployment.
• Hands on experience configuring SaaS based software using GUI interface:(Branding, Dashboard, Reporting, Data feeds & SAML)
• Data manipulations from *.csv file delimited and xls file importing into a sql table via internet SaaS import tool.
• Maintained service grid platform in SaaS environment.
• UsedAnsibleto manage Web applications, Environments configuration Files, Users, Mount points and Packages.
• Extensively worked onansibledeployments, written variousansibleplaybookswith multiple roles, tasks withloops,templates, service management, host variables, group variables etc.
• Configuring ‘Nginx’ for proxy RESTful API calls to micro-services in Docker containers.
• Created CICD pipeline using Jenkins pipeline template and Xebia tools (XLRelease, XLDeploy).
• Ensures compliance with Deployments Availability, Recoverability and Supportability standards and policies and provides Monitoring recommendations for tasks of medium to high level of complexity.
• Actively participates in new DevSecOps technology, vendor package and tool road mapping, evaluation and introduction. For Example: Jenkins, Splunk, AppDynamics, Jira, Confluence, ansible, Artifactory, Bitbucket, Sonarqube and Xebia Tools.
• Migrated TFS to bitbucket.
• Provides input into Tools Engineering & DevSecOps best practice methodologies and standards. Defines standards for specific processes and/or components.

Environment: Visual Studio.NET 2010, AZURE CLOUD, AngularJS, MongoDB, ASP.NET 4.0, AJAX, C# 4.0, TSQL, LINQ, Entity Framework, WCF, UML, CSS, JavaScript, SQL Server 2008, VSS Python, Unix/Linux, JIRA, Confluence, Maven, Bitbucket, Docker, Artifactory, XLRelease and XLDeploy.

Confidential - Memphis, TN

AZURE/DEVOPS ENGINEER

Responsibilities:

• Participated in the release cycle of the product which involves environments like Development, QA, Pre-Prod and Production.
• Worked with an agile development team to deliver an end to end continuous integration/ continuous delivery product using chef and bamboo.
• Technically experience performing software builds and deployments using tools such as, but not limited to: Code Hub (SVN, GIT) Ant, Maven, Jenkins, Anthill Pro, Xebia labs (XL Deploy release).
• Experience working with XLR (Xebia labs release ), deployment automation tool Automated tool. Automated release process by creating the templates, used Groovy Scripts as precondition.
• Used the continuous Integration tools such as bamboo for automating the build and deployment process.
• Used the version control system bitbucket to access the repositories and used in coordinating CI tools.
• Hands on Experience on creating and maintaining branches in SCM and creating pull requests for code merge.
• Created the build scripts using Maven for Java projects. Automating the build process by configuring Subversion for projects. Build tracking so that whenever a defect is detected, developers will be able to track the source code.
• Manage incidents that help restore the acceptable IT best practices And Diagnose of incidents to proactively manage and eliminate errors.
• Used Python API for uploading all the agent logs into Azure blob storage. Managed internal deployments of monitoring and alarm services for the Azure Infrastructure (OMS).
• Build Data Sync job on Windows Azure to synchronize data from SQL 2012 to SQL Azure.
• Design and Implement WCF services layer hosted on Windows Azure. This layer is the middle tier between SQL Azure and SharePoint online external content.
• Create Cache Memory on Windows Azure to improve the performance of data transfer between SQL Azure and WCF services.
• Having good implementation experience with installation and configuration ofKubernetes, clustering them and managed local deployments inKubernetes.
• Provided consistent environment usingKubernetesfor deployment scaling and load balancing to the application from development through production, easing the code development and deploymentpipelineby implementingDockercontainerization.
• Coordinating with the development and test automation team in maintenance of source code and training them with CI System.
• Ability to work closely with teams, to ensure high quality and timely delivery of builds and releases.
• Experience setting up instances behind Elastic Load Balancer inAWSfor high availability.
• Developed build and deployment script usingRuby(chef recipe) and shell scripting.
• Deployed the AEM (Adobe Experience Manger), Hybris and datahub application packages and coordinated with software development teams and QA teams.
• Responsible for cookbook release process and deployment for version upgrade.
• Setting up New Relic dashboards for application monitoring.

Environment:XLR (Xebia Labs Release) V9.0, ANT, Maven, Subversion, CVS, Chef, Azure, LINUX, Shell/Perl Scripts, Python, DB2, LDAP, GIT, Jenkins, Tomcat, Nagios, JIRA, Xebia Labs

Confidential - Dallas, TX

CLOUD DEVOPS CONSULTANT

Responsibilities:

• Automated the release pipeline to achieve zero touch deployments using Jenkins, gitlab, Artifactory and Udeploy.
• Created pipeline for microservices using docker and OpenShift.
• Coordinate/assist developers with establishing and applying appropriate branching, labeling/naming conventions using Gitlab source control.
• Used maven dependency management system to deploy snapshot and release artifacts to Artifactory to share across projects and environments.
• Setup and build AWS infrastructure various resources, VPC EC2, S3, IAM, EBS, Security Group, Auto Scaling, and RDS in Cloud Formation JSON templates.
• Installed the application on AWS EC2 AMI, Red hat, Ubuntu Instances.
• Configured the storage on S3 Buckets.
• Experience working with IAM to create new accounts, roles, and groups.
• Automating backups by shell for Linux to transfer data in S3 bucket.
• Maintaining the user accounts (IAM), RDS, Route 53, SES and SNS services in AWS cloud.
• Created AWS Route53 to route traffic between different regions.
• Experienced with AWS data backup (snapshot, AMI creation) techniques, along with data-at-rest security within AWS.
• Good understanding of ELB, security groups, FTP, SCP, NAT, firewall and Route 53.
• Designed high availability environment for Application servers and database servers on EC2 by using ELB and Auto-scaling.
• Used Cloud Watch for monitoring AWS cloud resources and the applications that deployed on AWS by creating new alarm, enable notification service.
• Worked on CI/CD tools Jenkins and GIT version control system for continuous smooth code release process.

Environment: AWS, OpenShift, Docker, Ansible, UDeploy, Oracle, Maven, GitLab, Jenkins, Linux, python, Shell scripting, Artifactory, SonarQube and Rally.

Confidential

CLOUD ENGINEER

Responsibilities:

• Manage DevOps and Infrastructure Teams supporting tools and infrastructure for 100+ developers on 3-5 concurrent releases.
• Creating fully automated CI build and deployment infrastructure and processes for multiple projects.
• Installing, configuring and maintaining Continuous Integration, Automation and Configuration Management tools.
• Exposure to containerization, the Docker project.
• Created LWP (light weight pipeline) using chef, Jenkins and AWS.
• Hands on experience in writing Ansible playbooks as per developer requirement.
• Design highly available, cost effective and fault tolerant systems using multiple EC2 instances, Auto Scaling, Elastic Load Balance and AMIs.
• Utilize EBS to store persistent data and mitigate failure by using snapshots.
• Design AWS Cloud Formation templates to create custom sized VPC, subnets, NAT to ensure successful deployment of Web applications and database templates.
• Provide highly durable and available data by using S3 data store, versioning, lifecycle policies, and create AMIs for mission critical production servers for backup.
• Design roles and groups for users and resources using AWS Identity Access Management (IAM).
• Utilize Amazon Glacier for archiving data.
• Manage network security using Security Groups, and IAM.
• Use Amazon RDS to manage, create snapshots, and automate backup of database.
• Configured and deployed applications on IBM uDeploy.
• Implementing monitoring and reporting solutions across a range of environments and platform.
• Independently learn new technologies and master the New Relic infrastructure so that you can provide 'full stack' diagnostics, when necessary, to help to figure out the root cause of internal problems.
• Installed and configured Splunk to log application data.
• Prepared, arranged and tested Splunk search strings and operational strings.
• Created and configured management reports and dashboards.

Environment: AWS, Docker, Chef, Java, Maven, Git Hub, Jenkins, Linux, Tomcat, JBoss, Shell scripting, JIRA, Nexus, IBM UDeploy.