PROFESSIONAL SUMMARY:

• Versatile Cloud/DevOps Engineer with around 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.
• 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, OpsWorks, Elastic Cache, Cloud Watch, CloudTrail, Kinesis, Redshift, Lambda, AWS Elastic Beanstalk, SNS, SES.
• 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 inAzurecompute services,AzureWeb apps,AzureData Factory & Storage,AzureMedia & Content delivery,AzureNetworking,AzureHybrid Integration, andAzureActive Directory. And Hands on Experience with Azure Security like Network Security Groups(NSG’s) in Vnets.
• Hands-on experience in building theOpenStackcloud platform components like Nova-Compute, Neutron-Networking, Swift-Object Storage, Glance- Image Service, Cinder-Block Storage, Horizon- Dashboard and Keystone-Identity Service.
• Experience in configuring PCF components such as OAuth2 server and login server, Cloud Controller, nsync, BBS, Cell Rep, Blobstore, Diego Cell.
• Expertise in working with Terraform key features such as Infrastructure as a code, Execution plans, Resource Graphs, Change Automation and extensively used Auto scaling launch configuration templates for launching amazon EC2 instances while deploying microservices.
• Expertise in working as AWSDevOpsengineer 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, encrypted the data using Ansible Vault and maintained role-based access control by using Ansible Tower and implemented IT orchestration using Ansible to run tasks in a sequence which can work on different servers.
• Extensively worked on Chef Roles, Cookbooks, Recipes, Templates, Resources, Attributes & Data bags. Proficient in the setup of Chef Servers, workstations & bootstrapping infrastructure Chef Nodes for configuration management.
• Implemented Puppet Agent and Agentless Configurations, dashboards, M-collective with active mq-server, plugin-sync, stored configs, Hiera-factors and developed puppet manifests used ruby for provisioning applications.
• Handled severalDockercomponents likeDockerEngine, Hub, Compose andDocker Registry and experience withDockercontainer service and Dockerized applications by creatingDockerimages fromDockerfile and running them to create theDockercontainers andDocker Swarm.
• Experience creating pods and clusters inKubernetesand deploy those using Openshift. Good understanding of Open shift platform in managing Docker containers andKubernetesClusters.
• Extensively used Kubernetes charts using Helm and created reproducible builds of the Kubernetes applications, managed Kubernetes manifest files and releases of Helm packages.
• Expertise in using build tools like MAVEN andANTfor the building of deployable artifacts such as jar, war and ear from source code. Created Local, Virtual Repositories in Artifactory for the project and release builds, and managed the repository manager like Nexus for the Maven builds.
• 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, and Bamboo by installing, configuring and maintaining the purpose of CI and End-to-End automation for all build and deployments implementing CI/CD for database using Jenkins. Configuring 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.
• Expertise in Working with web servers such as Apache HTTP server, NGINX, Apache TOMCAT, application servers such as Oracle WebLogic 9.x/10.x, IBM WebSphere 6.x/7.x/8.x, JBoss 4.1
• Proficient with Shell, Bash, Python, PowerShell, YAML, Ruby scripting languages for automation, monitoring.
• Strong experience with SQL and MySQL as well as with NoSQL databases, specifically MongoDB, PostgreSQL, Cassandra and Oracle 10.X.
• 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.
• Experience with installation and configuration of Dynatrace monitoring tool. And created email alerts and threshold values usingDynatracefor our environment.
• Hands on experience of Service Cloud/Salesforce Platform including users, roles, security, profiles, workflow rules, custom objects.
• 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.
• Expertise in creating Exception Group policies for Windows Server 2003/2008/2012 R2 in AD domain.
• Exposed to all aspects of Software Development Life Cycle (SDLC) and In-depth understanding of the principles and best practices of Software Configuration Management in Agile, waterfall methodologies.

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, 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 to provide immediate solutions for some of the issues also created Azure PowerShell script for backup and restore operations for API Management.
• Designed Architecture for API development & deployment as Microservice including Python code in Docker container and Azure Service Fabric.
• Configure continuous integration from source control, setting up build definition within Visual Studio Team Services (VSTS) and configure continuous delivery to automate the deployment of ASP.NET MVC applications to Azure web apps.Managed Active Directory, Office 365 and applied upgrades on a regular basis.
• 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.
• 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.
• Converted existingterraformmodules, had version conflicts to utilize cloud formation in terraform deployments.
• 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. Implemented IT orchestration using Ansible to run tasks in a sequence which can work on different servers.
• Worked on many different concepts of Chef like Roles, Environments, Data Bags, Knife, and Chef Server Admin/Organizations. Written Chef Recipes to automate deployment process and data bags 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.
• Integrated Jenkins with Docker container using CloudBees Docker pipeline plugin to drive all microservices builds out to the Docker Registry and then deployed to Kubernetes.
• 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.
• 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. Setup SCM Polling for Immediate Builds with Maven and Maven Repository (Nexus Artifactory) by installing Jenkins Plugins for GIT Repository
• 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.
• UsedNagiosas a monitoring tool to identify and resolve infrastructure problems before they affect critical processes and worked onNagiosEvent 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 an Elasticsearch Logstash and Kibana (ELK) cluster. Wrote software in python and ruby to automate various system administrator tasks.
• 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 s 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, Docker, Dynatrace, Kubernetes, SonarQube, Nexus, Git, Bash, Python, PowerShell, Nginx, HTTP web server, Jira, Dynatrace, RHEL. Cassandra, Windows.

Confidential -Williams 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. Deployed Elasticsearch with 10 nodes cluster in AWS environment for client applications
• Created Python scripts to automate AWS Services which includes ELB, Cloud front, Lambda, database security and application configuration also Developed them to take backup of EBS volumes usingAWSLambda, CloudWatch.
• 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.
• Analyzed various distributed file systems suitable for a cloud storage using a storage benchmark. Tested a private storage cloud usingOpenStackSWIFT software and worked as well with OpenStack Multi-node installation, Configuration and Administration.
• 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.
• Container management usingDockerby writingDockerfiles and set up the automated build onDockerHUB and installed, configured Kubernetes.Deploying cluster on AWS with Jenkins,Dockerpipeline implementation.
• Build Jenkins pipelines to drive all micro services builds out to the Docker registry and then deployed toKubernetes, Created Pods and managed usingKubernetes.
• 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.
• Used Ansible to Setup/teardown of ELK stack (Elasticsearch, Log stash, Kibana) and troubleshoot the build issues with ELK and work towards the solution. Used Ansible playbooks for provisioning instances on Open stack.
• 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.
• Automated the monthly patching process using chef recipes. Participated in on-call rotation. Managed a github server, and a Sonatype nexus server.
• 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.
• Configured POM file to manage Maven plugins such as Maven build plugins and Maven Reporting plugins and resolve Maven dependencies required for the project.
• Integrated GIT with Jenkins using the GitHub plugin to automate the process of source code check-out by providing the URL and credentials of the GIT repository.
• 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, 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.
• 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. Used file module inAnsibleplaybook to copy and remove files on EC2 instances. Created inventory inAnsiblefor automating the continuous deployment and wrote playbooks using YAML scripting.
• 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.
• 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 using JFrog Artifactory tool and Managedproject dependencies by creating parent-child relationships between projects.
• Involved in Installing Jenkins on a Linux machine and created a master and slave configuration to implement multiple parallel builds through a build farm.
• 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 and upgrades of Red Hat, CentOS.
• Developed a Shell script for real-time monitoring and reporting of status of the application server JVMs and server machines on the internal network using BASH shell on RHEL.
• 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. Worked with Storage and network teams in provisioning SAN Storage and NAS filers.
• Maintained Linux, Windows, Windows/XP, RedHat Linux Servers using kickstart, as well as all typical network administration, such as DNS, NIS, NFS, LDAP, hardware repairs, security, account management, IP address management, log file processing, and payment processing, etc. Provided support on a 24x7 basis.
• Worked on configuring Elastic Bean Stalk for developers to quickly deploy an application for testing and pushing developed code for testing. Administered and supported distributions of Linux, including Linux Enterprise Desktop, SUSE 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 and Resolved update, merge and password authentication issues in Bamboo andJIRA.
• Responsible for creatingpuppetmodules and manifest files from scratch and experience in editing existingpuppetmanifests and automated manual installation processes usingpuppet.
• Worked onPuppetfor the deployment of servers with custom scripts. DeployedPuppetfor configuration management to existing infrastructure.
• Wrote, maintained, reviewed and documented modules, manifests, Hiera configurations and Git repositories forPuppetEnterprise on RHEL and Windows platforms.
• 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 and provided technical support to the development team for compilation problems.
• Supported majorSalesForceOrgs Deployments for B2B and B2C Instances.Worked with various salesforce.com Standard objects like Accounts, Contacts, Leads, Cases, Campaigns, Reports, and Dashboards.
• 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 Administrato

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, such as System start-up/shutdown, and Backup strategy and scheduledcronjobs for job automation.
• 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.

Confidential

System Engineer

Responsibilities:

• A custom build of Windows 2003 and Windows 2008 servers which includes adding users, SAN, network configuration, installing application related packages, managing services.
• Responsible for maintenance of development tools and utilities and to maintain shell, Perl automation Scripts.
• Responsible for Connectivity issues among various Servers and various software components.
• Setting up network environments using TCP/IP, NIS, NFS, DNS, SNMP agents, DHCP and Proxy.
• File system Tuning and growing using VERITAS File System (VxFS), coordinated with SAN Team for storage allocation and Disk Dynamic Multipath. Managed HP-UX, Compaq and Linux workstations, and servers.
• Remote system administration using tools like SSH, Telnet, and Rlogin.
• Installed and configured monitoring tools Nagios for monitoring the network bandwidth and hard drive status.
• Setup Squid Proxy Server for internet sharing and to block the unwanted sites and Clustering for Linux servers.
• Maintained Samba File Server for user authentication, Syslog domain, and file sharing.
• Installation and administration of RHEL 4.0 and Configured kickstart server and updating patches to the servers using Red Hat Satellite server. Tune the Servers and configuring networks for optimum performance.
• Kernel tuning, Writing Shell scripts for system maintenance and file management.

Environment: Windows 2003/2008, RHEL, Nagios, Samba Server, Shell, Perl, Linux, Terminal Services, Oracle, DB2.