SUMMARY

• Versatile Cloud/DevOps Engineer with 8 of experience in System Administration, Linux Administration and Automation tools. Seeking to leverage Continuous Build and Release Management, Configuration Management, Software Development Life Cycle (SDLC), Cloud provisioning.
• Passionate Computer Professional with good communication and leadership skills. Strong passion for technology, a willingness to learn new skills.
• Experience in dealing with Windows Azure Services - Virtual Networks, Virtual Machines, Resource Groups, Express Route, VPN, Load Balancing, Data Lake, Azure Functions, Auto-Scaling, Azure Monitor, Traffic Manager.
• Excellent knowledge in Azure compute services,Azure Web apps,AzureData Factory & Storage,Azure Media & Content delivery,Azure Networking,Azure Hybrid Integration, and AzureActive Directory. And Hands on Experience with Azure Security like Network Security Groups(NSG’s) in Vnets.
• Hands-on experience in building the Open Stack cloud platform components like Nova-Compute, Neutron-Networking, Swift-Object Storage, Glance- Image Service, Cinder-Block Storage, Horizon- Dashboard and Keystone-Identity Service.
• Experience in maintaining Amazon Web Services and Architecting Legacy Data migration projects such as Teradata to AWS Redshift migration, on-premises to AWS cloud Migration.
• Experience in strategy and practical implementation of AWS Cloud services which include EC2, EBS, S3, S3 Glacier, Storage Gateway, VPC, Route 53, Snowball, Direct connect, Storage Gateway, CloudFormation, Dynamo DB, RDS, ELB, EMR, ECS, Cloud Front, Elastic Cache, Cloud Watch, CloudTrail, Redshift, Lambda, AWS Elastic Beanstalk, SNS, SES.
• Expertise in working with Terraform key features such as Infrastructure as a code, Execution plans, Resource Graphs, Automation and used Auto scaling launch configuration templates on amazon EC2 while deploying microservices.
• Expertise in working as AWS DevOps engineer and Build and release engineer in field of release automation for Java technologies to achieve continuous Integration and continuous Delivery (CI and CD).
• Experience in writing Ansible playbooks, inventories created custom playbooks written in YAML language.
• Extensively worked on Chef Roles, Cookbooks, Recipes, Templates, Resources, Attributes & Data bags.
• Handled severalDockercomponents likeDockerEngine, Hub, Compose andDocker Registry and experience withDockercontainer service and Dockerized applications by creatingDockerimages fromDockerfile.
• Experience creating pods and clusters inKubernetesand deploy those using Openshift. Good understanding of Open shift platform in managing Docker containers andKubernetesClusters and used Kubernetes charts with Helm.
• Expertise in using build tools like MAVEN andANTfor the building of deployable artifacts such as Jar, War and Ear.
• Experience in Artifact repository, repository management tools Nexus, Jfrog,DockerHub,Registry and QUAY.
• Experienced in branching, tagging and maintaining the versions across the environments using SCM tools likeGIT, Bitbucketand Subversion (SVN) on Linux and windows platforms.
• Extensively worked on Jenkins, Octopus, Teamcity, CI and End-to-End automation for all build and deployments CI/CD for database using Jenkins job to spin up infrastructure usingTerraformscripts.
• Experience in usingELK(Elastic Search, Log Stash, and Kibana) stack for network and server monitoring, storing the logs and visualizing them using Nginx.
• Experience in monitoring the servers using Nagios, Cloud Watch, Data Dog, Pager duty, Gray log/Splunk and usingELK (Elastic Search, Log Stash, and Kibana), and Applications monitoring using AppDynamics.
• Versatility as demonstrated with troubleshooting diverse sets of hosting technologies and Experience with cloud, virtualization platforms like VMWare, Xen, virtual box, Hyper-V, Openstack, and REDHAT virtualization suite.
• Expertise in LINUX/UNIX system builds, administration, Installations, Upgrades, Troubleshooting on different distributions such as Ubuntu, CentOS, RHEL 5.x/6.X/7. X.

TECHNICAL SKILLS

Cloud Platforms: AWS, Azure, OpenStack, PCF, SalesForce

Configuration Management Tools: Ansible, Chef, Puppet, Saltstack

CI /CD Tools: Jenkins, Bamboo, TeamCity, Hudson, Octopus

Build Tools: Maven, ANT, Gradle

Containerization Tools: Docker, Kubernetes, Mesos, OpenShift

Version Control Tools: GIT, Bitbucket, SVN

Logging & Monitoring Tools: Nagios, Splunk, ELK, Datadog, Prometheus, New Relic

Scripting & Programming Languages: Python, Bash/Shell, PowerShell, Ruby, Java, .Net, APEX

Databases: Oracle, DB2, MySQL, NoSQL (MongoDB, DynamoDB, Cassandra)

Application/Web Servers: Apache Tomcat, NGINX, JBoss4.1, WebSphere, 9.x/10.x, Weblogic

Operating Systems: Linux, Windows, Solaris, Ubuntu, RHEL, Centos

Virtualization Platforms: Oracle VirtualBox, Vagrant, VMware vSphere, Hyper-V

Bug Tracking Tools: JIRA, Bugzilla, Remedy, HP Quality Center, IBM Clear Quest, Mingle

Networking: LDAP, DNS, FTP, DHCP, SSH, TCP/IP, NFS

PROFESSIONAL EXPERIENCE

Confidential

Sr. Cloud/ SRE Engineer

Responsibilities:

• Implemented a production ready, load balanced, highly available, fault tolerant, and Kubernetesinfrastructure.
• Built Clusters from scratch for Production and Dev Environment.
• Supported projects likeTensor flow, Keras, MATLab, ML packages, Pachyderm, Helm packages, Tiller, Domino for Deep learning environment. Setup Deployment environment to the end users.
• Design & implement migration strategies for traditional systems on Azure (Lift and shift/Azure Migrate, other third-party tools) worked on Azure suite: Azure SQL Database, Azure Data Lake(ADLS), Azure Data Factory(ADF) V2, Azure SQL Data Warehouse, Azure Service Bus, Azure key Vault, Azure Analysis Service(AAS), Azure Blob Storage, Azure Search, Azure App Service, Azure data Platform Services.
• Worked on Azure Site Recovery and Azure Backup- Deployed Instances on Azure environments and in Data centers and migrating to Azure usingAzure Site Recovery.
• Authored Terraform modules for infrastructure management. Authored and published a module to the Terraform registry for enterprise customers to deploy our product inside their Azure environment.
• UsedBashandPython, includedBoto3to supplement automation provided byAnsibleandTerraformfor tasks such
• Utilized k8’s open source environment with Portus for Registry and Icinga for Monitoring Kubernetes Cluster
• Administrated user, user groups, and scheduled instances for reports in tableau.
• ManagedKubernetescharts using Helm. Created reproducible builds of theKubernetesapplications, managed Kubernetes manifest files and managed releases of Helm packages.
• Point team player on Openshift for creating new Projects, Services for load balancing and adding them to Routes to be accessible from outside, troubleshooting pods through ssh and logs, modification ofBuildconfigs, templates,Imagestreams.
• Created pods and services using Master and Minion architecture of Kubernetes and developed microservice on boarding tools, leveraging Python allowing for creation and maintenance build jobs and Kubernetes deploy services.
• Migrated k8’s Cluster to OpenShift platform in managing Docker containers and Kubernetes Clusters.
• Streamlined installation ofOpenShifton partner cloud infrastructure such as AWS and Azure.
• Work with Data Scientists and Product Managers to frame a problem, both mathematically and within the business context.

Environment: Jenkins, Azure, AWS, Splunk, Ansible, terraform, Data lakes GIT, J-frog, Sonar Qube, Linux packages, Python Packages, Windows packages, Java, Python, C#, Confluence, JIRA, Microsoft Teams

Confidential - Indianapolis, IN

Sr. DevOps Engineer

Responsibilities:

• Creating containers with the help of Docker images. Virtualized the images by using theDocker files.
• Making use of PowerShell, Pythonand other tools to automate a range of tasks in an OS diverse environment.
• Scriptingin multiple languages onUNIX, LINUX and Windows - Batch, Shell script,
• Migrated applications from AWS on to Openshift using Azure DevOps pipelines after containerizing them in version control.
• Experienced Cloud and DevOps engineer in Automating, Configuring and deploying instances on AWS, Cloud environments and Data centers.
• Deploy and monitor AWS resources (EC2, VPC, ELB, S3, RDS) using Chef andTerraform.
• Configured monitoring and alerting tools according to the requirement like AppDynamics, Splunk, AWS Cloud Watch, AWS Cloud Trail, Dyna trace, Nagios, Splunk Enterprise, SNMP monitoring for the VPN connections.
• Experience in Virtualization technologies like Vagrant and worked with container applications like Docker, Kubernetes.
• Managing theOpenShiftcluster that includes scaling up and down the AWS app nodes.
• Create automation and deployment templates for relational and NoSQL databases including MSSQL, MySQL in AWS.
• Configuring, automation and maintaining build and deployment CI/CD tools git/ git-Lab, Jenkins/Hudson, Maven.
• Experience with container based deployments using Docker, working with Docker images, Docker Hub and Docker registries and Kubernetes.
• Experience with setting up Ansible Infrastructure, Boot strapping nodes, creating and uploading playbooks.
• Created private cloud using Kubernetes that supports DEV, TEST, and PROD environments.
• Played a key role in converting 200+ existing Jenkins jobs into the new pipeline process.
• Setup JFrog Artifactory on AWS, single copy of any binary is ever stored on this file system.
• Managed local deployments in Kubernetes, creating local cluster and deploying application containers
• Integrated tasks and inline scripts on release pipelines in Azure DevOps for clean deployments on Openshift.
• ImplementedTerraform Modules for deployment of various applications across multiple cloud providers and managing infrastructure.
• Wrote Ansible Playbooks to automate the mass installation of machine and application agents on windows and Linux environments over 2000 servers.
• Worked with Monitoring tools and Automation on Splunk, AppDynamics, PagerDuty, and ELK.
• Leverage best-in-class solutions for workflows such as Secrets management, Security policy management.
• Created Advanced Tableau dashboards that helped in tracking and improving customer units KPI’s.
• Makes updates to Documented procedures as directed by other Release Management team members
• Deployment strategiesand the coordination of architecture changes for rapidly evolving projects.
• Worked in Container based technologies likeDocker,KubernetesandOpenshift.
• Working under Product based domain and aware of HIPPA environment and it's benefits after the integration with AWS.

Environment: Azure DevOps, VSTS, AWS, Data Lake, Openshift, API, SQL, Virtual Machine, Docker, Kubernetes, Ansible, Python, Terraform, Hashi corp Vault, Sonarqube, Splunk, AppDynamics, ELK

Confidential, Kansas City, MO

Sr. DevOps Engineer

Responsibilities:

• Provide administration of Azure IT Governance including licensing, provisioning access, and maintaining processes and templates. Support for Azure DevOps SME training and helped teams set up Azure for migrate across the organization.
• Hands-on Agile, Scrum and Kanban process adoption using the Standard Azure DevOps Scrum Template with Azure DevOps Tools to support the Release and Deployment process.
• Good working knowledge of the agile and waterfall project methodologies. Product Owner for Azure DevOps. Maintaining a relationship with Microsoft and determine what changes upgrades for organization.
• In depth knowledge of SDLC/STLC and its various aspects like Requirement Analysis, Test Planning, Test case Development, Test environment Setup, Test Execution, Test Cycle closure.
• Design & implement migration strategies for traditional systems on Azure (Lift and shift/Azure Migrate, other third-party tools
• Migrate data from traditional database systems to Azure databases and migrated IaaS VMs and PaaS role instances for refactored applications and databases.
• Created an automation test framework for perf testing for RESTFUL API. Migrated Test Cases content from HP ALM to Azure DevOps in JSON format using PowerShell Scripts. Extensively used the fiddler Identifying the API calls.
• Performed user load testing using the agents and controller. Shared the docs and load test line chart report and analysis report in the Power BI.
• Resolving conflicts of code merge in Git. Creating pull request in VSO for code review. Prepared the docs for Migrating Source Code in different Version Control.
• Worked with version control tools like TFS, VSTS, Github, ZenHub, SubVersion, PerForce to manage a release cycle.
• Building CI/CD pipelines for your applications by providing set of inbuilt build and release. Support Cake builds and repeatable approach to CI/CD.
• Experience with building and implementing a continuous integration and continuous deployment platform (CI/CD). Understanding of monitoring and alerting systems like application insights in Azure DevOps
• Strong knowledge of Azure cloud service models (IaaS, PaaS, SaaS), Azure virtual networks, Azure Active Directory; including provisioning, troubleshooting, and monitoring.
• Experience with Power Shell scripting. Familiarity with serverless architectures such as Azure Functions. Knowledge of TCP/IP networking, SMTP, HTTP, load balancers, high availability architecture
• Strong knowledge and experience using Azure IaaS and its capabilities. Have Scripting experience in PowerShell and Cake scripting. JUnit, integration and functional tests implementation.
• Utilized Power BI gateway to keep dashboards and reports up to-date with on premise data sources
• Building/Maintaining Docker container clusters managed byKubernetes, Linux, Bash, GIT, Docker, on Azure. Utilized Kubernetes and Docker for the runtime environment of theCI/CDsystem to build, test deploy.
• Leveraging and writing ARM templates, setup automation for resources provisioning Azure PowerShell, Azure services (App Service, SQL, Azure Service Fabric, Azure Storage Account.

Environment: Azure DevOps, VSTS, Scrum Template, SDLC, Restful APT, HP ALM, JSON, PowerShell, Visual studio, GitHub, ZenHub, Subversion, Perforce, Octopus, Cake Scripting, Azure Virtual networks, Azure Active Directory, Azure Functions, TCP/ IP, HTTP, Lad Balancers, PowerBL, Docker, Kubernetes, AKS, App Service, SQL, DNS, ARM Templates.

Confidential, Boston, MA

Sr. Cloud/DevOps Engineer

Responsibilities:

• Major duties were to plan, develop and assist the migration of client's on-premise infrastructure to Microsoft Cloud (Azure). Design and implement hybrid on premise and cloud migration and management strategy for the new hybrid cloud solution in single and multiple site data centers.
• Created Azure Automation Assets, Graphical Runbooks, PowerShell runbooks that will automate specific tasks, deployed Azure AD Connect, configuring ADFS authentication flow, ADFS installation using Azure AD Connect.
• Deployed Azure IaaS (VM’s) and PaaS role instances (Cloud services) into secure VNets with Azure Internal Load Balancers, subnets andcreated several SQL scripts as part of bug fixes.
• Designed Architecture for API development & deployment as Microservice including Python code in Docker container and Azure Service Fabric.
• Configure continuous integration from source control definition within Visual Studio Team Services (VSTS) and configure continuous delivery to automate the deployment of ASP.NET MVC applications to Azure web apps.
• Configured and deployed Azure Automation Scripts for a multitude of applications utilizing the Azure stack for Compute, Web and Mobile, Blobs, Resource Groups, Azure Data Lake, HDInsight Clusters, Azure Data Factory, and ARM Services and utilities focusing on Automation.
• Managing the VSTS user license, train and mentor the new project team to adapt TFS and VSTS process.
• Worked on deploying the .Net applications to Pivotal Cloud Foundry (PCF) and troubleshooting deployment issues with development teams, implemented Octopus Deploy facilitate automated deployment to production.
• Implemented Micro-services using Private Cloud foundry platform build upon Spring Boot Services.
• Configured Ansible control machine, Ansible Playbooks (written in YAML language), roles and modules. Used Ansible Vault and Ansible Tower to secure sensitive data and control the access of playbooks.
• Worked on many different concepts of Chef like Roles, Environments, Data Bags, Knife, and Chef Server Admin/Organizations in Chef for better environment management and testkitchento validate cookbooks.
• Worked with CHEF ohai plugin, chef handlers, push jobs and exposure to chef supermarket to leverage the existing cookbooks for quick automation of general deployment and Infrastructure tasks.
• Worked on Docker,Openshiftto manage microservices for development andpoint team player onOpenShiftfor creating new Projects, Services for load balancing and adding them to Routes to be accessible from outside.
• Assisted Agile development teams with work item tracking tools (Rational Team Concert Rally, VSTS) in support of successful project deliverables.
• Extensively used Kubernetes charts using Helm and created reproducible builds of the Kubernetes applications, managed Kubernetes manifest files and managed releases of Helm packages.
• Implemented cluster services using Docker and Kubernetes to manage local deployments in Kubernetes by building a self-hosted Kubernetes cluster using Terraform and Ansible and deploying application containers.
• Handled continuous integration with Jenkins by using various plugins like Global Build Stats, Multiple SCMs, Parameterized Trigger and Configuration Slicing to increase the productivity.
• Integrated Maven plugin with Jenkins and configured pipeline job to invoke maven top-level goals such as compile, test, package, deploy, install and clean.
• Configured GIT with Jenkins and schedule jobs using POLL SCM option and integrated to automate the code checkout process. Wrote JUnit test cases for unit, integration, and functional tests, run automatically by Jenkins in the builds triggered by each push to GIT.
• Responsible for installing and administrating the SonarQube for code quality check and Nexus repository and generating reports for different projects. Also, integrated them with Jenkins.
• 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.
• IntegratedELKstack with several services. Added Redis in between client and server logstash nodes for caching/persistence to enable real-time online updates to the logstash configuration.
• Managed large amount of structured, semi-structured and partitioned data among all nodes in cluster using Cassandra.
• Involved in setting up JIRA as defect tracking system and configured various workflows, customizations, and plugins for the JIRA bug/issue tracker.
• Configured commercial SSL certificates for Applications Servers such as WebSphere, WebLogic, Tomcat using NGINX and Apache web servers to terminate SSL endpoint.
• Installed Dynatrace in production for application monitoring, used pure paths to identify slow performing modules and configured Dynatrace for generating custom reports, dashboards and email alerts.
• Extensively worked with PowerShell to automate SQL tasks, environment management related tasks and procedures on Windows machines.

Environment: Azure, PCF, Office 365, Data lake, Terraform, Maven, Jenkins, Ansible, Chef, Nagios, ELK, Redis,VSTS, Docker,TFS, Dynatrace, Kubernetes, SonarQube, Nexus, Git, Bash, Python, PowerShell, Nginx, HTTP web server, Jira, Dynatrace, RHEL. Cassandra, Windows.

Confidential, Cleveland, OH

Cloud/DevOps Engineer

Responsibilities:

• Worked with AWS CodePipeline and creating CloudFormation JSON templates to create custom VPC. Migrated a production infrastructure into AWS utilizing CodeDeploy, CodeCommit, OpsWorks. Knowledge of Amazon ECS Clusters and able to manage containers in it.
• Configure and Manage EC2, Elastic Beanstalk, RDS, S3 Buckets, VPC, Security Groups, ELB, Auto scaling, ElasticCache, Glacier, SNS, SQS, SES, CloudWatch, ECS, CloudTrial, CloudFormation.
• Utilized AWS CLI to automate backups of ephemeral data-stores to S3 buckets, EBS and create nightly AMIs for mission-critical production servers as backups.
• Created Python scripts to automate AWS Services which includes ELB, Cloud front, Lambda, database security and application configuration.
• Utilized Ansible andAWSlambda, elastic cache and Cloudwatch logs to automate the creation of log aggregation pipeline with ElasticSearch, Logstash, Kibana stack (ELK stack) to send all our team's logs coming into cloudwatch, to process them and send them off to ElasticSearch.
• Written Templates for AWS infrastructure as a code using Terraform to build staging and production environments. Defined Terraform modules such as Compute, Network, Operations, and Users to reuse in different environments.
• Worked with AWS Cloud Formation Templates, terraform along with Ansible to render templates and Murano with Heat Orchestration templates in OpenStack Environment.
• Written Chef Cookbooks, recipes using Ruby to automate the installation of Middleware Infrastructure like Apache Tomcat, JDK, and configuration tasks for new environments.
• Wrote Ansible Playbooks with Python SSH as the Wrapper to Manage Configurations of AWS Nodes and Test Playbooks on AWS instances using Python. Run Ansible Scripts to provision Development servers.
• Creating inventory, job templates and scheduling jobs using Ansible Tower. Downloaded and managed Ansible roles from Ansible Galaxy to automate the infrastructure.
• Worked 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. wq out to the Docker registry and then deployed toKubernetes, Created Pods and managed usingKubernetes.
• Wrote scripts and indexing strategy for a migration to Confidential Redshift from SQL Server and MySQL databases
• Created several pods using Master and Minion architecture of Kubernetes and developed microservice on boarding tools leveraging Python allowing for easy creation and maintenance of build jobs and Kubernetes deploy and services.
• Deployed Kubernetes clusters on top of Amazon EC2 instances using KOPS and managed local deployments in Kubernetes creating local clusters and deploying application containers.
• Worked with Jenkins under the CI/CD pipeline providing continuous improvement to Agile software development teams. Configured Jenkins and integrated it with Chef to schedule jobs on all the bootstrapped nodes.
• Replaced Splunk logging and analytics with an automated ELK cluster, increasing data capture capacity and reducing costs. System log and Cloud Trail collection using Splunk including Splunk installation, collector configuration and multi indexer setup on Production Environment.
• Used Monitor tool like Datadog for AWS Cloud. Written monitor’s and alerts with PagerDuty. Integration continuously imports PagerDuty incidents, alert server event, escalations and resolutions into the Datadog stream.
• Installed configured and Administrated of all LINUX servers on Amazon Web Services (AWS), includes the design and selection of relevant hardware to Support the installation/upgrades of Red Hat, CentOS operating systems.

Environment: AWS, OpenStack, Terraform, Docker,TFS, Jenkins, Git, GitHub, Jira, Jenkins, Kubernetes, OpenShift, Maven, Nagios, ELK, Java, SonarQube, Shell, Bash, Python, DynamoDB, Data Dog, Splunk, PagerDuty, WebSphere, WebLogic, Tomcat, Nginx, Linux, RHEL.

Confidential, San Francisco, CA

DevOps Engineer

Responsibilities:

• Performed the automation deployments usingAWSby creating the IAM roles and policies and used the codePipeline plugin to integrate Jenkins withAWSand created the EC2 instances to provide the virtual servers.
• Configured AWS IAM and Security Groups in Public and Private Subnets in VPC Managed IAM accounts (with MFA) and IAM policies to meet security audit & compliance requirements and worked as Admin.
• Implemented Chef Recipes for Deployment on build on internal Data Centre Servers. Also re-used and modified same Chef Recipes to create a Deployment directly into Amazon EC2 instances.
• Worked on AWS Data Pipeline to configure data loads from S3 to into Redshift
• Integration of 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).
• ConfiguredAnsiblecontrol machine and wroteAnsibleplaybooks withAnsibleroles.
• Installed Workstation, Bootstrapped Nodes, wrote Recipes, and Cookbooks and uploaded them to Chef-server and managedAWSfor EC2, S3 & ELB with Chef Cookbooks.
• Written Chef Cookbooks for installing Tomcat, JBoss, Nginx, WebLogic, WebSphere and for configuring load balancers and fail over.
• Load data into Amazon Redshift and use AWS Cloud Watch to collect and monitor AWS RDS instances within Confidential.
• Responsible for Continuous Integration and Continuous Delivery process implementation using Jenkins along with Python and Shell scripts to automate routine jobs.
• Dockerized applications by creatingDockerimages fromDockerfile, collaborated with development support team to setup a continuous deployment environment usingDocker.
• Build Docker images automatically with Jenkins pipeline by using the plugins like CloudBees, Docker pipeline, and Amazon EC2 Plugin.
• Created Local, Virtual Repositories in Artifactory for the project and release builds, repository management in Maven to share snapshots and releases of internal projects.
• Set-up Bamboo build and deployment plans using Maven as build tool and Bitbucket as source code managers.
• Installing, configuring of Red hat EL 6.x and 5.x using Tivoli Provisioning Manager and Solaris 10 using Wanboot. Maintained Linux, Windows, Windows/XP, RedHat Linux Servers using kickstart, as well as all typical network administration.
• Worked on configuring Elastic Bean Stalk for developers to quickly deploy an application for testing and pushing developed code for testing. Administered and supported Linux Enterprise Server, and Red Hat and CentOS.

Environment: AWS, Chef, Ansible, Maven, Jenkins, Python, Linux, Bitbucket, GitHub, Shell, Bash, groovy, RHEL, Apache, Solaris, Jfrog, Ngnix, Bamboo, IIS, Linux, RHEL, CentOS, VMWare vSphere, Jira.

Confidential - Los Angeles, CA

Build/Release Engineer

Responsibilities:

• Created and configured jobs, script builder, custom command builder, agents inBamboo. Integrated Build dependencies and dependency blocking strategy inBamboo.
• Involved in software builds, creating directories, security groups, and recreating prior versions. Monitored software, hardware, middleware updates and utilizing technologies like Bamboo, Ant, MS Build, TFS Team, and Bitbucket.
• Setting up continuous integration and formal builds usingBamboowith the Artifactoryrepository
• Responsible for creatingpuppetmodules and manifest files from scratch.
• Worked onPuppetfor the deployment of servers with custom scripts. DeployedPuppetfor configuration management to existing infrastructure.
• Designed and scripting using ANT for J2EE, Web Services, Reusable JARS, Web Client and Open Source in creating Master build.xml build Properties & pom.xml files
• Created Jenkins build Jobs and Multi-steppipelines to handle Continuous Build for every check-in, scheduled nightly and ad-hoc/Published builds and perform smoke test. (Post results back toSalesForcevia chatter plugin)
• SetupNagioson all the environments and created app dash boards based on theNagioslogsApplication and Component Log Management and Sending Application logs toNagiosusingUser Provided Services
• Configured Linux servers for clusters of Oracle Real Application and configured SAN based mount points as well.
• Reviewed existing manual Software builds, developed scripts to automate repeated tasks that are more susceptible to errors and risk using Shell Scripting.
• Involved in Building and configuring Red Hat Linux Servers using Kick Start server as required for the project. Maintained maximum uptime and maximum performance capacity for enterprise production, QA and UAT/staging.

Environment: Puppet, Jenkins, Bamboo SVN, GIT, ANT, Hiera, Jira, Perl, Shell, Nagios, RHEL, Windows, Bugzilla, Ad-Hoc, Nexus, Chatter plugin, Salesforce, Oracle, Kickstart

Confidential

Linux Administrator

Responsibilities:

• As a Linux/Unix system maintained the various servers and Attended team meetings, change control meetings to update installation progress, and for upcoming changes in environment.
• Administering local and remote servers on daily basis, troubleshooting and correcting errors.
• Experienced with networking using TCP/IP and resolving network connectivity using tools like dig, nslookup, ping.
• Monitoring of web servers and other services using Nagios monitoring tool.
• Administered Linux servers for several functions including managing Apache Tomcat server, mail servers, and Oracle, MySQL databases in both development and production.
• Troubleshooting Backup and Restore Problems Creation of LVMs on SAN using Linux utilities and Linux network, security-related issues, capturing packets using tools such as IP tables, firewall, and TCP wrapper and NMAP.
• Performed UNIX System Administration. Fine tuning, Kernel debugging, process scheduling, disk and file system I/O, kernel internals, TCP/IP communications.
• Management of user accounts, files and directory permissions, and securing UNIX systems to match industry best practices.
• Configured VG’s and LV’s, extended logical volumes for file system growth needs using (LVM) commands.
• Administered various Red Hat Linux Distributions with use of Kickstart to monitor, scale, plan capacity of Servers

Environment: RHEL 5/6, Samba, Linux VM, Solaris 9/10, shell, WebSphere 6.x/7.x/8.x, MySQL, Oracle, Apache, VMware.