PROFESSIONAL SUMMARY:

• 8 years of experience in IT industry comprising of DevOps, AWS, Google cloud, Azure, Linux System administrator.
• Highly motivated and committed DevOps engineer experience in Automating, configuring, and deploying instances on AWS, Google cloud platform, Microsoft Azure.
• Build and configure a virtual data center in the AWS cloud to support Enterprise Data Warehouse hosting including Virtual Private Cloud (VPC), Public and Private Subnets, Security Groups, Route Tables, Elastic Load Balancer.
• Designed highly available cost - effective and cost tolerant systems using multiple EC2 instances, Auto Scaling, AMIs and Glaciers for QA and UAT environments as well as infrastructure servers for Git and Chef.
• Through experience in setting up and build AWS infrastructure various resources, VPC, EC2, RDB, S3, IAM, EBS, Security Group, Auto Scaling, SES, SNS, and RDS in cloud formation JSON templates. Along with Expertise in AWS Lambda to run servers without managing them and to trigger to run code by S3 & SNS. Provided highly durable and available data by creating and managing policies for the S3 data store, versioning, Life Cycle Policies.
• Expertise in various AWS services like Managing Amazon instances by taking AMIs, performing administration and monitoring of Amazon instances like EC2 using Amazon Cloud Watch. Used Amazon Route53, to manage DNS zones and give public DNS names to elastic load balancers IP’s.
• Extensive experience in managing Amazon RedShift cluster such as launching the cluster and specifying the node type as well. Expertise in transferring data from Datacenters to cloud using AWS Import/Export Snowball Service. For web application-deployment, used AWS Beanstalk for deploying and scaling web applications; services developed with Java, PHP, Node.js, Python, Ruby and Docker on familiar servers like Apache.
• Supported AWS Cloud environment with 200+ AWS instances and configured Elastic IP & Elastic Storage and experience working with implemented security groups. Created S3 bucket, ELB, IAM by using Terraform and Solved Gateway time issue on ELB and moved all the logs to S3 Bucket by using Terraform
• Experience in Architecting and Implementing Azure Service Offering such as IIS, Azure active directory, Azure resource management, Azure VM, Blob Storage SQL Database, Azure Files, and Azure Functions. Worked on provisioning and maintaining the Azureinstances and storage for builds, build deployment.Familiar with concepts of Azure, good knowledge in Azure cloud services, Azure storage, Azure active directory, Azure service bus.
• Expertise in creating and managing Azure AD tenants and configured application with Azure AD. Integrated on-premises Windows AD with Azure AD integrating with on-premises identity with Azure AD. Also in selecting the appropriateAzureservice based on compute, data or security requirements and leveraging Azure SDK’s to interact withAzureservices.
• Experience with Pivotal Cloud Foundry, Open Shift, Kubernetes architecture and design, troubleshooting issues with platform components (PCF), and developing global or multi-regional deployment models and patterns for large-scale developments and deployments on Cloud Foundry, Open Shift and Kubernetes.
• Experience with build tools like Ant and Maven for writing Build.xmls and pom.xmls respectivelyin JAVA and J2EE applications
• Efficiency in installing, configuring and implementing the LVM, andRAIDTechnologies using various tools likeVeritas volume manager,Solari'svolume manager.
• Experience in Installing, configuring and maintaining Samba,Web Sphere, WebLogic Application Servers, Nagios and Chef. Firm knowledge on configuring and administeringDNS, NIS, NIS+, LAMP, and LDAPonSunSolarisserver environment. Strong hands on experience in installing, configuring, and troubleshooting of F5 Virtual and Physical loadbalancers (LTM& GTM - 1600, 3000, 3900).
• Experience in Installation and configuration of Web hosting administrationHTTP, FTP, SSH, & RSH. Experience with Performance tuning of web applications on the backend through caching frameworks utilization in the Service and DAO layer
• Experience in configuring and managing Puppet master server, experience in updating and creating modules and pushing them to puppet clients.
• Proficiency in writing automation scripts using Chef, Puppet, Shell, PowerShell to support infrastructure as code and continuous deployment.
• Expertise in for creating complex JIRA workflows, conditions and setting up and maintaining JIRA to extend workflow capabilities both front-end and back-end using JIRA environment.
• Expertise in Setting up Splunk, SumoLogic and NewRelic monitoring for AWS and GCP cloud environments
• Administered and implemented CI tools Jenkins for automated builds and deployments.
• 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 when they are shifted in multiple environments
• Experience in Container management tools like Docker and Kubernetes. Also used to manage clusters of nodes using Docker Swarm and Kubernetes. In addition, Creating clusters in GoogleCloud and manage the clusters using Kubernetes (k8s). Used Jenkins to deploy code to Google Cloud with new namespaces, create Docker images and push them to container registry of Google Cloud.
• Experience working with Chef Enterprise Hosted as well as On-Premise, Installing Workstation, Bootstrapping Nodes. Experience writing Recipes and Cookbooks and uploading them to Chef-Server, Managed On-site OS/Applications/Services/Packages using Chef as well as AWS for EC2/S3/Route53 & ELB with Chef Cookbooks.
• Maintained clear communication between management, development, and QA regarding build standards, procedures and requirements.
• End-to-End understanding of Release Life Cycle, Release Milestone Tracking, Release Calendar Ownership, Game Plan Preparation, Change approval Process, Production Cutover, Planning, and post-production Validation.
• Standardized and Automated SCM tasks, such as creating tags and branches, managing access to source code repositories, controlling merges, baseline releases and check-ins.
• Expertise in documenting and deployment process and high-level preparation of Release notes, Checklists, Quality process docs, Analysis docs, configuration docs with versions.

PROFESSIONAL EXPERIENCE:

Confidential, Chicago, Il

Sr. DevOps-Cloud Engineer

Responsibilities:

• Worked on Amazon AWS EC2 cloud services for installing, configuring and troubleshooting on various Amazon images like Amazon Linux AMI, Red Hat 4.x, 5.x, 6.x, 7.x, Ubuntu 12.x, 13.x, 14.x, and 15.x.
• Building massively scalable network-oriented software for the Elastic Load Balancing (ELB) service.
• Configured S3 versioning and lifecycle policies to backup files and archive files in Glacier.
• Maintained DNS records usingRoute53. Used Amazon Route53 to manage DNS zones and give public DNS names to elastic load balancers IP's.
• Used Amazon RDS Multi-AZ for automatic failover and high availability at the database tier for MySQL workloads. Creating an AWS RDS MySQLDBcluster and connected to the database through an Amazon RDS MySQLDBInstance using the Amazon RDS Console.
• Launched Database for MySQL 5.x and Oracle 11.x using RDS in multiple Available zones, have setup monitoring for CPU Utilization and limitedDBconnections by implementing alarms using Cloudwatch.
• Used Cloud formation and launch configurations to automate the repeatable provisioning of AWS resources for applications.
• Used Amazon IAM to grant fine-grained access toAWSresources to users. Also managed roles and permissions of users toAWSaccount through IAM.
• Used CloudFront to deliver content fromAWSedge locations to users, allowing for further reduction of load on front-end servers.
• Configured secure VPC through private and public networks in AWS.UsedAWScommand line client and management console to interact withAWSresources and APIs. Setup Auto-scaling groups based on memory and CPU to adapt to unforeseen spikes without having an outage or needing manual intervention.
• Created monitors, alarms and notifications for EC2 hosts using CloudWatch.AWS Import/Export accelerates moving large amounts of data into and out of AWS using portable storage devices for transport. In addition configured the Code Quality Tools like Find Bugs and SonarQube for Spring Boot applications in Jenkins.
• Experience in deploying and monitoring applications on various platforms usingElasticBeanstalk.Used AWSBeanStalkfor deploying and scaling web applications and services developed with Java, PHP, Node.js, Python, Ruby, and Docker on familiar servers such as Apache, and IIS.
• Designed AWS Cloud Formation templates to create custom sized VPC, subnets, NAT to ensure successful deployment of Web applications and database templates.
• Setup and build AWS infrastructure various resources, VPC EC2, S3, IAM, EBS, Security Group, Auto Scaling, and RDS in Cloud Formation JSON templates.
• Developed scripts to automate web App for the cloud product with python Boto3 framework and lambda, Integrated the lambda function with API Gateway.
• Configured API gateways, SNS andDynamoDBtables for PUSH notifications.
• For Managing/Tracking the defects status usedJIRAtool and for Planning & resolving the issues.
• Automated backups through the shell for Linux and PowerShell scripts for windows to transfer data in S3 bucket.
• Expertise in Continuous Integration processes with build, release, and test. Utilized internal tools and Jenkins tools to perform and implement Continuous Integration processes
• Reduced ElasticSearch disk space usage by 66% by automating ElasticSearch maintenance using Jenkins. In addition, Setup and configured ELK stack ElasticSearch indexes for prod and non-prod ElasticSearch instances. EFK (Elasticsearch FluentD and Kibana) stack as well as sensu for monitoring, and alerting by InstallingSensuon all web and application servers to monitor the application flow.
• Managed the Maven Repository using Nexus tool to automate the build process and used the same to share the snapshots and releases of internal projects.
• Installed Nexus repository tool to maintain the artifacts/dependencies jars.
• Carried deployments and builds on various environments using continuous integration tool Jenkins.
• Work with different team members for automation of Release components.
• Worked inMongoDB(versions 2.x, 3.0.0 and 3.0.5) installation, configuration and administration.
• Provision and configure localVagrantmachines for developers with Puppet.
• Proficient in Docker created Docker files and handled multiple images to solve dependency problems.
• ImplementedDockerautomation solution for Continuous integration / Continuous Delivery model. Worked on Continuous Integration workflow using Virtual Environments like Docker and kubernetes to build various containers to deploy the micro services oriented environments for scalable applications. Implemented Twistlock for containers and application security.
• Virtualized the servers using theDockerfor the test environments and dev-environment needs. Configured Docker container for branching purposes.
• Creating Dockerized web application servers with complete infrastructure. Installed and configured Kubernetes master controller and minions/nodes across the environment.
• Created and deployed Kubernetes pod definitions, tags, labels, multi-pod container replication. Managed multiple Kubernetes pod containers scaling, and auto-scaling.
• Created internal webpages for everybody for authentication purpose and use the hardware devices by logging in with our company credentials. Used PHP and various other templates from internal programs to publish this internal webpage
• Refined automation components with scripting and configuration management(Ansible).Configuration Automation and Centralized Management withAnsibleandCobbler. ImplementedAnsibleto manage all existing servers and automate the build/configuration of new servers. All server's types were fully defined in Ansible, so that a newly built server could be up and ready for productionwithin 30 minutesOS installation.
• WroteAnsiblePlaybooks with Python SSH as the Wrapper to Manage Configurations of AWS nodes and Tested Playbooks on AWS instances using Python. RunAnsibleScripts to Provide Dev Servers.
• Automated various infrastructure activities like Continuous Deployment, Application Server setup, Stack monitoring usingAnsibleplaybooks and has Integrated Ansible with Rundeck and Jenkins.
• ImplementedNagiosand integrated with Ansible for automatic monitoring of servers. Designs and implementCobblerinfrastructure and integrate with Ansible doing Linux provisioning.
• Replicated the Jenkins build server to a test VM usingPacker,Virtual Box,Vagrant,Chef, Perl brew and Serverspec.
• Maintain and update documentation inConfluence.
• Administered the nexus repository for the spring boot images and base Docker images. In addition, Configured the Code Quality Tools like Find Bugs and SonarQube for Spring Boot applications in Jenkins.
• Created POC environment for testing Auto scaling of instances in Google Compute Engine.
• Configured JBosscache to run Jboss server and Implemented caching solution by utilizing spring caching abstraction with JCS( Java Caching System).
• Resolved system issues and inconsistencies in coordination with quality assurance and engineering teams.
• Upgraded Jira, confluence with MySQL in AWS environment. Configure Apache, Nginx reverse proxy. Tools used include Stash, Bitbucket, GIT, Jira, Confluence, NewRelic, Slack, LastPass.
• Act as a liaison between Development and IT for commonly utilized systems such as Confluence, JIRA, Office 365, and GitHub. Create business processes in JIRA for managing inventory, personnel, and development workflows.Automated the process of Apache Web server installation, configuration-usingAnsible.

Technical Tools: AWS, GIT/Gerrit, MAVEN, JENKINS, JIRA, VAGRANT, PUPPET, ANSIBLE, CoreOS.

Confidential

DevOps/Cloud Engineer

Responsibilities:

• Building/Maintaining Docker container clusters managed by Kubernetes Linux, Bash, GIT, Docker, on GCP (Google Cloud Platform)Utilized Kubernetes and Docker for the runtime environment of the CI/CD system to build, test deploy.
• Designed and implemented scalable cloud-based web applications for PaaS, IaaS or SaaS.
• Worked as a DevOps Engineer for a team that involves three different development teams and multiple simultaneous software releases.
• Configure, monitor and automate Google Cloud Services as well as involved in deploying the content cloud platform using Google compute engine, Google storage buckets.
• Build and configure a virtual data center in the Google cloud platform to support Enterprise Data Warehouse hosting including Virtual Private Cloud (VPC), Public and Private Subnets, Security Groups, Route Tables, Google Cloud Load Balancing.Installation, Configuration, and Management of RDBMS and NoSQL tools such as ArangoDB.
• Configured a Google cloud Virtual Private Cloud (VPC) and Database Subnet Group for isolation of resources.
• Creating Google storage buckets, maintained, and utilized the policy management of these buckets and Glacier for storage and backup on Google cloud. Created notifications, alarms and alert policies for Google Compute Engine instances using Stackdriver Monitoring.
• Worked on Google cloud services like Glacier, Load Balancers, RDS, SNS, SWF, and IAM and hands-on experience on Google cloud Services provision.
• Worked on provisioning and maintaining the GCP and Azure instances and storage for builds, build deployments etc.
• Selecting the appropriate Azure service based on compute, data or security requirements and leveraging Azure SDKs to interact with Azure services from your application.
• Configured VMs availability sets using Azure portal to provide resiliency for IaaS based solution and scale sets using Azure Resource Manager to manage network traffic.Performed Hardening of the VM’s and also disk encryption using the KEK key in MS Azure.
• Updated Jobs.groovy for the migration of Jenkins jobs from MS Azure to Google cloud.
• Deployed and monitored scalable infrastructure on Google cloud & configuration management using Docker.
• Created Docker files, built Docker images that include Containerized environment to automate system operations.
• Coordinate/assist developers with establishing and applying appropriate branching, labeling/naming conventions using GIT.
• Deployed various services like RabbitMQ, Activiti, Redis, Elasticsearch, ArangoDB, Postgres, and Spark and data containers in containerized environments using Docker-compose.
• Configure the Docker image with a so that normal deploy process automatically uses a secure connection for ActivitiUI to run over HTTPS.
• Moved HDFS Storage to an attached disk so that a full HDFS does not bring down the host VM.
• Managing Chef Nodes using Linux Cron jobs, maintaining, and setting up the Chef server and Chef Nodes.
• Enforcing Test Driven Development (TDD) approach for writing Chef Cookbook using Test-kitchen, VagrAnt, Berkshelf, FoodCritic and Chef Spec
• Experience in managing configuration web applications and Deploying through Google Cloud server by Chef.
• Experience in using Dockers Swarm and deployed spring boot applications.
• Designed Continuous Delivery platform using Docker, Jenkins, and Puppet.
• Used Puppet to manage Web Applications, Config Files, Data Base, Commands, and Users.
• Used Ansible for automating the continuous deployment and wrote playbooks using YAML scripting and for VM provisioning in the staging environment.
• Perform day-to-day operation and troubleshooting of VMs and Docker swarm in GCP.
• Worked on obtaining the clustered HDFS working in Swarm mode using Hadoop-master and Hadoop-slave Docker images.
• Deployed to compute engine using terraform. Also performed initialization and unsealing the vault from keys stored in GC storage.
• Created a signed JSON web token (JWT) and retrieve the vault authentication token. Used the vault authentication token to read and write secrets.
• Wrote Python scripts for pushing data from ArangoDB to MySQL Database.Verified that latest Arango version works with SSL and turned it on in all environments.
• Implementation of new tools such as Kubernetes with Docker to assist with auto-scaling and continuous integration (CI).
• Experience in monitoring a rule processing Engine that analyzes loan information to generate exceptions.
• Developed Scala scripts, UDF's using both Data frames/SQL and RDD/MapReduce in Spark for Data Aggregation, queries and writing data back into RDBMS.
• Developed Apache Spark jobs using Scala in test environment for faster data processing and used Spark SQL for querying
• Automate the creation ofInstance template for Engine and Flexicapture through a Jenkins job.
• Monitor the Azure VM’s using Zabbix to display the network I/O bound, Memory usage, CPU, and other metrics.
• Used Sonatype Nexus, Google cloud container registry as artifact repositories to publish build related artifacts.
• Integrated SonarQube into the production environment so that developers can view the code metrics for scala analysis as code and built with SBT.
• Move the demo environment to production due to the amount of the client data used in the production environment.
• Wrote PowerShell scripts for providing the flat files to sail point integration for DB and OS level Integration. Developed different Power Shell scripts that will connect remotely to different servers and pull the users data in a csv file.
• Assisted in ETL (Extract, Transform, Load) Command Development (PHP).
• Maintained the production health of many production services, carried a pager, managed releases
• Performed load and bootstrap time optimizations using data types optimization, schema normalization, Redis optimizations. In addition built a TCP/Redis based job handling functionality.
• Created and maintained the Python deployment scripts for the Web Sphere web application server.
• Developed a shell script to display all the environment variables during the deployment of our application to another client.

Environment: Google Cloud, MS Azure, shell scripts, GIT, Docker, Chef, IntelliJ, Jira, Ansible, Maven, Jenkins, Puppet, Groovy, Scala, Java, ArangoDB, PGAdmin, DynamoDB, Python, Windows, and Linux environment.

Confidential, PA

DevOps\Build and Release Engineer

Responsibilities:

• Worked closely with the Development Team in the design phase and developed Use case diagrams using Rational Rose.
• Designed and implemented Subversion and GIT metadata including elements, labels, attributes, triggers, and hyperlinks.
• Implemented & maintained the branching and build/release strategies utilizing Subversion/GIT.
• Performed all necessary day-to-day Subversion/GIT support for different projects.
• Responsible for design and maintenance of the Subversion/GIT Repositories, views, and the access control strategies.
• Used ANT and MAVEN as build tools on Java projects for the development of build artifacts on the source code.
• Deployed the Java applications into web application servers like Weblogic.
• Written WLST scripts and integrated with Anthill Pro to automate the deployment activities to various environments.
• Supported ITIL Process enforcements for a few applications in accordance with SOX procedures.
• Deployed the code from the Development environment to other environments like QA, UAT and production environments.
• Deployed application modules to WAS 6.0 based clusters via ND admin console.
• Executed the DB Scripts (DML and DDL) which have dependencies on the code on Oracle DB.
• Documented the deployment process (Migration Doc) of code to production on an Excel Sheet.
• Experience with troubleshooting builds issues to support Dev in both .NET and Java applications.
• Created Branches, and performed Merges in Source Tree& Stash.
• Experience with server virtualization technology, VMWare.
• Strong understanding of DevOps practices across the industry including AWS code and deployment toolsets like CodeDeploy, CodeCommit, and CodePipeline.
• Very strong Project Management experience performing ITIL RM /SCM activities.
• Developed Processes, Tools, Automation for Jenkins based Software for Build system and delivering SW Builds.
• Deployed and maintained Chef role-based application servers, including Apache, Resin, Nginx, and Tomcat.
• Experienced in authoring pom.xml files, performing releases with the Maven release plugin, Mavenization of Java projects and managing Maven repositories.

Environment: Subversion, GIT, Anthill Pro, Java/J2EE, ANT, MAVEN, JIRA, LINUX, XML, Windows XP, Windows Server 2003, WebLogic, MY SQL, Perl Scripts, Shell scripts,WLST,Apache,Tomcat,.Net.

Confidential

SCM Build/Release Engineer

Responsibilities:

• Developed build and deployment scripts using Maven and ANT as build tools in Jenkins/Hudson to move from one environment to other environments
• Assist with maintaining current build systems, developed build scripts, and maintained the source control system
• Publishing the Release notes for all the releases using Confluence
• Created Jenkins Workflows for pre-deployment process (DB execution, Environment configuration changes etc.) on both QA and preproduction Environments
• Worked with GIT and Subversion to manage source code
• Sending the Uptime and Downtime notifications to teams regarding Servers Status as a part of the Build Engineer role at the time of deploying the EAR and WAR package in JBoss 4.3 Admin Console.
• Participated in the release cycle of the product which involves environments like Development QA UAT and Production
• Builds and deploys J2EE application in JBoss using Python scripts
• Involved in setting up Rally as defect tracking system and configured various workflows, customizations, and plugins for the Rally bug/issue tracker
• Defined Microsoft processes to build and deliver software baselines for internal as well as external customers
• Coordinated with all the teams before and after the production deployments for the smooth production releases
• Integrated Maven with Subversion to manage and deploy project related tags
• Working closely with Web Administrators to understand, participate, and experience the technical architect for websites such as Apache, JBoss, WebSphere, WebLogic; and deploying J2EE Applications to these environments
• Installed and administeredrepository to deploy the artifacts generated by Maven and Ant and to store the dependent jars which are used during the build
• Written Shell scripts to apply the Integration label to all the files which need manual labeling of files
• Gathered all the stakeholder approvals, necessary signoffs while acting as a release manager for two development teams

Environment: Java/J2ee, Maven, Subversion, Git, GitHub, UNIX, Rally, Shell, Artifactory, Jenkins/Hudson, Python, JBoss, WebSphere, Confluence, Linux, MYSQL.

Confidential

LINUX Administrator

Responsibilities:

• Administered, maintained Red Hat 3.0, 4.0, 5.0, 6.0 AS, ES, Troubleshooting Hardware, Operating System Application & Network problems and performance issues; Deployed latest patches for, Linux and Application servers, Performed Red Hat Linux Kernel Tuning.
• Experience in implementing and configuring network services such as HTTP, DHCP, and TFTP.
• Install and configure DHCP, DNS (BIND, MS), web (Apache, IIS), email (SMTP, IMAP, POP3), and file servers on Linux servers.
• Administered Linux servers for several functions including managing Apache/Tomcat server, email server, and MySQL databases in both development and production.
• Experienced working with Preload Assist and PICS projects.
• Bash shell-scripts to automate routine activities.
• Migrated database applications from Windows 2000 Server to Linux server.
• Installing and setting up Oracle9i on Linux for the development team.
• Linux kernel, memory upgrades, and swaps area. Red hat Linux Kickstart Installation.
• Created users, manage user permissions, maintain User & File System quota on Red Hat Linux.
• Diagnosed hardware and software problems and provide solutions to them.
• Monitored trouble ticket queue to attend user and system calls.
• Capacity Planning, Infrastructure design, and ordering systems.
• Worked with DBAs on the installation of RDBMS database, restoration and log generation.

Environment: Red Hat Linux 3.0,4.0,5.0 AS ES, HP-DL585, Oracle 9i/10g, Samba, VMware Tomcat 3.x,4.x,5.x, Apache Server 1.x,2.x, Bash.

Confidential

Linux Administrator

Responsibilities:

• Installation and administration of RHEL 4.0/5.0 and SUSE 10.x.
• Wrote UNIX shell scripts for automated installations, to extract logs using C, Bash, Perl, and Python.
• Created Power Shell script that monitored Oracle Enterprise Manager Status and emailed results.
• Developed automated processes that run daily to check disk usage and perform cleanup of file systems on LINUX environments using shell scripting.
• Integrated Maven with Shell scripts created in Bash to automate the deployments for the Java-based applications.
• Participated in Java/J2EE and have the ability to develop XML, HTML, Shell Scripts and Perl Scripts.
• Supported infrastructure environment comprising of RHEL and Solaris.
• Involved in Linux backup/restore with tar including formatting and disk partitioning.
• Designed and implemented Puppet-based configuration management system for all new Linux machines (physical and virtual).
• Responsible for setting up Cron jobs scripts on production servers.
• Perform new builds and decommissions of both physical and VMware servers.
• Responsible for the Database / Network operation with 80 servers.
• Deployed the Java applications into web application servers like Weblogic.
• Responsible for configuring real-time backup of web servers.
• Monitoring system performances using Nagios and managing network issues.
• Monitoring the servers using tools like BMC and Nagios and providing 24x7 on-call support rotation basis.
• Deployed Enterprise Application Archive (EAR), Web Application Archive (WAR), and Staging and Production environments.
• Created and modified users and groups with SUDO permission.
• Coordinating users for any server activities, which may involve major changes on software, or any hardware related issues.
• Applied appropriate support packages/patches to maintain system integrity.
• Managing the groups and user in Active Directory, installing and configuring sending emails and adding servers to the domain.

Environment: s: Red Hat Linux (RHEL 4/5), UNIX, Python, Logical Volume Manager, Global File System, Red Hat Cluster Servers, Maven, Puppet, Nagios, BMC, Oracle, MySQL, Shell scripts, Perl scripts, Apache, Tomcat, SAN, SUSE, VMware.