SUMMARY

• Around 7 years of IT experience as a DevOps Engineer, Build Release Engineering and Configuration management with reputed companies working on tools like AWS, Azure, GCP, Jenkins, Maven, Puppet, CHEF, Ansible, Docker, Kubernetes, Ansible Tower on Linux distributions.
• Ability in execution of Shell Scripts, PowerShell scripts and Python, Ruby scripts for compilation and deployment process.
• Extensive working experience with broad range of AWS Cloud Services like EC2, ELB, AutoScaling, VPC, Route53, RDS, S3, IAM, SNS, SQS, DynamoDB, Elasticsearch and CloudWatch and have in - depth practical knowledge on other cloud services like Microsoft Azure and OpenStack
• Experience with Troubleshooting AWS EC2 instances for Status check through System Status checks and Instance Status checks alerts and rectifying if necessary.
• Experience in Setting up the build and deployment automation for Terraform scripts using Jenkins.
• Created reusable Terraform modules in both Azure and AWS cloud environments.
• Provisioned the highly available EC2 Instances using Terraform and cloud formation and wrote new plugins to support new functionality in Terraform.
• Python and Golang. Mostly used for various admin/DevOps task such as consuming APIs, create command line tools etc.
• Extensively worked on CI/CD tools like Jenkins and Bamboo for continuous integration and implemented them for end-to-end pipeline automation of various builds and deployments.
• Defined AWS Security Groups which acted as virtual firewalls that controlled the traffic allowed to reach one or more AWS EC2 instances.
• Implemented a Continuous Delivery pipeline with Docker, Jenkins and GitHub and AWS AMI’s, whenever a new GitHub branch gets started, Jenkins, our Continuous Integration server, automatically attempts to build a new Docker container from it, The Docker container leverages Linux containers and has the AMI baked in. Converted our staging and Production environment from a handful AMI’s to a single bare metal host running Docker.
• Expertise in Azure IaaS virtual machines (VMs) and Cloud services (PaaS role instances) into secure VNets and subnets, designed VNets and subscriptions to conform to Azure Network Limits.
• Strong knowledge in PowerShell scripts and Azure Automation runbooks focused around automating daily tasks and quickly implementing time intensive requirements.
• Experienced in Extracting & Injecting Data into Azure Blob, SQL Azure using Azure Data Factory pipelines from OnPrem and cloud data sources.
• Worked on PowerShell Scripts and ARM templates.
• Experience in integrating Pivotal Cloud Foundry with splunk and deployment with OPS manager and Pivotal Application Service (PAS) on AWS and GCP infrastructure using Terraform templates.
• Worked on google cloud platform (GCP) services like compute engine, cloud load balancing, cloud storage, cloud SQL, stack driver monitoring and cloud deployment manager.
• Implemented automated local user provisioning instances created in AWS cloud and google cloud.
• Develop data pipelines for Machine Learning models to improve functionality and user experience of the google Test cloud platform and its data.
• Migrated Linux virtual machines from one vCenter to another for Soft Layer Project. Built a prototype CI/CD system with GitLab on GKE (Google Kubernetes Engine) utilizing Kubernetes and Docker for the runtime environment for the CI/CD systems to build and test and deploy.
• Built end to end CI/CD Pipelines in Jenkins to retrieve code, compile applications, perform tests and push build artifacts to Nexus.
• Developed automation framework for Application Deployments to the Cloud environments using Terraform and maintained Docker as Elastic Container Service (ECS).
• Worked on Docker for virtualization, Ship, Run and Deploy the application securely for fasten the build/Release Engineering, developed the OpenShift platform in managing Docker containers and Kubernetes Clusters.
• Used Docker container for deploying micro services, and scaling the deployment using Kubernetes.
• Worked with Terraform in AWS Virtual Private Cloud to automatically setup and modify settings by interfacing with the control layer and responsible to setup Elastic search cluster using Terraform scripts to block all the Spam and Possible attacks.
• Capability in Utilizing Mechanized Form Scripts like Maven, Hudson/Jenkins, Nexus and TeamCity, Ansible and Puppet/ Chef.
• Worked in SCM tools - Chef and Puppet for Deployment on Multiple platforms.
• Ability to build deployment, build scripts and automated solutions using scripting languages such as Shell scripting (kasha, Bash), Python, Ruby, PHP, PERL, XML, JSON.
• Developed Puppet manifests for different applications and web servers like Apache, Tomcat, Nginx, Websphere and Weblogic applications.
• Installation, Configuration and Management of RDBMS and NoSQL tools such as SQL Server, MySQL, DB2, PostgreSQL, MongoDB & Cassandra.
• Experience with Bug tracking tools like JIRA and working with Ansible and wrote playbooks for Installation and Configuration of CI/CD tools.
• Wrote several Ansible playbooks for the automation that was defined through tasks using YAML format and ran Ansible Scripts to provision Dev servers.
• Proficiency in .NET technologies including .NET Framework, ASP NET, C#, Win Forms, ADO.NET and AJAX.
• Experience in Linux Administration (Installation, Configuration, Tuning and Upgrades of Linux (Red Hat and Oracle)).
• Extensive experience in developing and maintaining build, deployment scripts for test, Staging and Production environments using ANT, Maven, Shell, and Perl scripts.
• Experienced in Installing, Upgrading, Patching Linux environments in both public and private domains.
• Installed and configured Linux/Unix and Windows operating systems on 600 + VMware servers in various centos, ubuntu, RHEL distributions.
• Experience in using Build Automation scripting like MAVEN, ANT and MSBUILD as build tools for building deployable artifacts (JAR, WAR & EAR) from source code.
• Responsible for managing all aspects of the software configuration management process including code compilation, packaging, deployment, release methodology and application configurations.

TECHNICAL SKILLS

Operating Systems: Linux, Unix, Windows, MacOS, Ubuntu

Continuous Integration: Hudson, Jenkins, Azure DevOps

Version Control Tools: Git, Bit Bucket, GitHub

Scripting: Ruby, Shell, PowerShell, Bash, Yaml, GoLang

Cloud: AWS, GCP, Microsoft Azure

Programming Languages: Java, Python, .NET

Build Tools: Maven, Ant, Nexus

Configuration Management: Chef, Ansible, Puppet, Terraform

Containerization Tool: Docker, Kubernetes

Databases: MYSQL, SQL Server, DynamoDB, Mongo DB, DB2

Monitoring Tools: Nagios, Cloud Watch (AWS), Stack driver, Grafana

Application Servers: Apache Tomcat, WebSphere, JBoss, Nginx

Ticketing tools: Jira, ServiceNow

PROFESSIONAL EXPERIENCE

Confidential, Mt. Laurel, NJ

Sr. Cloud Infrastructure Engineer

Responsibilities:

• Good experience in Amazon Web Services environment and good knowledge of AWS services like Elastic Compute Cloud (EC2), Elastic Load Balancers, Elastic Container Service (Docker Containers), S3, Elastic Beanstalk, CloudFront, Elastic File System, RDS, VPC, Route53, Cloud watch, Cloud trail, Cloud Formation.
• Managed the team's source repository through Git and continuous integration system using Jenkins. Configured the continuous integration tool Jenkins in Centos (Linux) to automate the daily processes.
• Designed and deployed AWS Solutions using EC2, S3, EBS, ELB, Auto Scaling groups.
• Used Google Cloud Platform (GCP) to build, test and deploy applications on Google's very adaptable and solid Network framework (PCI DSS) for web, portable and backend arrangements
• Managed data migration from AWS to GCP by creating hybrid cloud infrastructure through initializing tunnels between both the clouds.
• Created projects, VPC's, Subnetwork's, GKE (Google Kubernetes Engine) Clusters for environments Dev, Stage, and prod using Terraform used GCP cloud CDN (content delivery network) to deliver content from GCP cache locations drastically improving user experience and latency.
• Managed Kubernetes charts using Helm, and Created reproducible builds of the Kubernetes applications, managed Kubernetes deployment and service files and managed releases of Helm packages.
• Worked on Blue/green deployment strategy by creating new applications which are identical to the existing production environment using CloudFormation templates & Route53 weighted record sets to redirect traffic from the old environment to the new environment via DNS.
• Worked on Ansible and Ansible Tower to automate repetitive tasks, to deploy critical applications quickly, and proactively manage the changes.
• 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.
• Provisioned AWS serverless microservices using Chef Recipes and CloudTrail, CloudPassage for AWS security and scanning. Involved strongly in administration and Engineered Jenkins for managing weekly Build, Test and Deploy chain as a CI/CD process.
• Maintained the user accounts (IAM), RDS, Route 53, VPC, RDB, DynamoDB, SES, SQS and SNS services in AWS cloud.
• Extended OnPremise infrastructure storage to AWS by using Storage gateways and created S3 buckets, configuring buckets with permissions, logging, versioning and tagging.
• Setup CI/CD pipeline and provisioned services using Chef, Puppet, Ansible and Docker. Configured push and pull configuration.
• Designed and created multiple deployment strategies using CI/CD Pipelines and configuration management tools with remote execution to ensure zero downtime and shortened deployment cycles via automated deployments.
• Deployed Java applications/Web-services using CI/CD tools like Jenkins, bamboo, Team city, Puppet, chef in standalone and clustered environments.
• Build Jenkins jobs to create AWS infrastructure from GitHub repos containing Terraform code and administered/engineered Jenkins for managing weekly builds
• Collaborate in the automation of AWS infrastructure via Terraform and Jenkins - software and services configuration via chef cookbooks.
• Automate provisioning and repetitive tasks usingTerraform and Python, Docker container, Service Orchestration. Worked on cloud automation usingAWS cloud formation templates.
• Developed Chef Recipes to configure, deploy, and maintain software components of the existing infrastructure.
• Written Chef Cookbooks for various DB configurations (MongoDB) to modularize & optimize product configuration.
• Implemented and maintained Ansible Configuration management spanning several environments including the AWS cloud
• Wrote Ansible Playbooks with Python SSH as the Wrapper to Manage Configurations of AWS nodes and Tested Playbooks on AWS instances using Python.
• Implemented Ansible to 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 production within 30 minutes of OS installation.
• Worked on AWS Cloud Formation and Terraform API to create infrastructure on AWS as a code and Spinning up AWS resources by using Terraform.
• Converted existing AWS infrastructure to server-less architecture (AWS Lambda, Kinesis) deployed via Terraform and AWS Cloud formation.
• Experience in using Nexus and JFrog Artifactory Repository Managers for Maven builds.
• Automated the release pipeline to achieve zero touch deployments using RTC, Jenkins, SVN, Maven, Nolio.
• Worked on build tools like MAVEN for the building of deployable artifacts such as .war and .ear from source code.
• Configured various jobs in Jenkins & Hudson for deployment of Java based applications and running test suites. Setup ANT script-based jobs and worked with Jenkins Pipelines.
• Source code configuration tools Subversion and GIT used for different projects, migrating from SVN to GIT and performing the pipeline jobs with GIT
• Design and build Continuous Integration/Continuous Deployment (CI/CD) pipelines on GitLab to automate deployments on AWS Cloud.
• Container management using Docker by writing Docker files and set up the automated build on Docker HUB and installed and configured Kubernetes.
• Created clusters of instances running on Kubernetes and pushing them into Google Cloud using Jenkins and deploying them into hosting environments using GCP's Containers as a Service (CAAS).
• Point team player on Kubernetes for creating new Projects, Services for load balancing and adding them to Routes to be accessible from outside, Creation of Pods through new application and control the scaling of pods, troubleshooting pods through ssh and stackdriver/splunk logs.
• Orchestrated CI/CD processes by responding to Git triggers, human input, and dependency chains and environment setup.
• Provide the permissions and required access to all the pub/sub topics and sinks to push/write the data to Stackdriver.
• Setup Alerting and monitoring using Stackdriver in GCP.
• Create custom log metrics using Stackdriver logging and create charts and alerts using the custom log metrics.
• Scheduled, deployed, and managed container replicas onto node clusters using Kubernetes and Configured private cloud using Kubernetes that supports DEV, TEST, and PROD environments.
• Worked with Docker containers which are lightweight and fast for reducing the cycle time of development, testing and deployment.
• Worked on deployment automation of all the micro services to pull images from the private Docker registry and deploy to Docker Swarm Cluster using Ansible.
• Installed Ansible Registry for local upload and download of Docker images and even from Docker Hub.
• Automated the Applications and MySQL, NoSQL container deployment in Docker using Python and monitoring of these containers using Nagios.

Environment: Linux (RHEL 4.x/5.x/6.x/7), AWS, GCP, Puppet, Terraform, Ansible, Jenkins, Chef, Docker, Kubernetes, Nagios, GKE, WebLogic, WebSphere, Apache web servers, Nagios, MySQL, Shell Scripting, Python, Git/Bitbucket.

Confidential, Dallas, TX

Azure DevOps Engineer

Responsibilities:

• Worked in a highly collaborative operations team to streamline the process of implementing security Confidential Azure cloud environment and introduced best practices for remediation.
• Worked on implementing backup methodologies by PowerShell Scripts for Azure Services like Azure SQL Database, Key Vault, Storage blobs, App Services etc.
• Created Azure services using ARM templates (JSON) and ensured no changes in the present infrastructure while doing incremental deployment.
• Created recommendations on how to duplicate a subset of on-premises machines to the Azure Infrastructure as a Service (IAAS) offering which will be used for disaster recovery. This analysis included the specifics to synchronize on-premises data with SQL Server and SharePoint instances hosted in VMs.
• Deployed windows Kubernetes (K8s) cluster with Azure Container Service (ACS) from Azure CLI and Utilized Kubernetes and Docker for the runtime environment of the CI/CD system to build, test and Octopus Deploy.
• Managed Azure Infrastructure Azure Web Roles, Worker Roles, VM Role, Azure SQL, Azure Storage, Azure AD Licenses, Virtual Machine Backup and Recover from a Recovery Services Vault using Azure PowerShell and Azure Portal.
• Implemented a CI/CD pipeline with Docker, Jenkins (TFS Plugin installed), Team Foundation Server (TFS), GitHub and Azure Container Service, whenever a new TFS/GitHub branch gets started, Jenkins, our Continuous Integration (CI) server, automatically attempts to build a new Docker container from it.
• Written Automation scripts in PowerShell, which make API calls to Azure DevOps and find users who have not accessed Azure DevOps for more than 90 days (Cost Optimization Project).
• Written Templates for Azure Infrastructure as code using Terraform to build staging and production environments.
• Integrated Azure Log Analytics with Azure VMs for monitoring the log files, store them, track metrics, and used Terraform as a tool, Managed different infrastructure resources Cloud, VMware, and Docker containers.
• UsedAzure Terraformto deploy the infrastructure necessary to create development, test, and production environments for a software development project.
• Worked withTerraformTemplates to automate the Azure Iaas virtual machines using Terraform modules and deployed virtual machine scale sets in production and DR environment.
• Used containerization and immutable infrastructure, Docker has been cored to this experience, along with Kubernetes.
• Created reproducible builds of the Kubernetes applications, managed Kubernetes manifest files and Managed releases of Helm packages.
• Implemented Docker maven-plugin in Maven pom.xml files to build Docker images for all microservices and later used Docker files to build the Docker images from the Java jar files.
• Troubleshooted Continuous integration and automated deployment and management using Jenkins, Chef, Maven, Ant, Docker, or comparable tools.
• Wrote Python Code using Ansible Python API to Automate Cloud Deployment Process and developed Python Modules for Ansible Customizations.
• Automated various infrastructure activities like Continuous Deployment, Application Server setup, stack monitoring using Ansible playbooks and has Integrated Ansible with Jenkins.
• Experienced in Oracle PL/SQL programming including development and tuning of packages, stored procedures, functions, andUnix/LinuxShell scripting.
• Implementation of data and storage management solutions in Azure (SQL Azure, Azure files, Queue storage, Blob storage).
• Configured Cloud Network Architecture using Azure Virtual Networks, VPN and ExpressRoute to establish connectivity between on-premises and Cloud.
• Developed backup and recovery engine for VM backup/recovery using VMware vSphere APIs,Golang programming language and RabbitMQ Message bus (communication interface)
• Implemented Performance testing using Apache JMeter and created a Dashboard using Grafana to view the Results.
• Involved in debugging CHEF Recipes and their execution trying to pull logs into Splunk and monitor Docker deployments.
• Implemented Maven builds for creating JAR, WAR and EAR artifacts and delivered the packages to Apache Tomcat using Ansible.
• Setup and administered network file system (NFS) to share data with Linux and across window environments.

Environment: Azure, .NET, SVN, Ant, Maven, Shell/Perl, SQL, Open Stack, PowerShell, Cassandra, Kubernetes, TFS, SCM, GIT Jenkins, JIRA, Tomcat, Terraform, Ansible, Control-M, Puppet, Puppet DB, Oracle, Unix/Linux Shell Scripting, Chef, Ruby.

Confidential, Chicago, IL

DevOps Engineer

Responsibilities:

• Designed roles and groups for users and resources using AWSIdentity Access Management (IAM) and managed network security using Security Groups, and Configuration of Notification and Monitoring Alerts for IAM Solutions using cloud watch.
• Built servers using AWS Importing volumes, launching EC2, RDS, S3, IAM, Route53, VPC, CodeDeploy, creating security groups, auto-scaling, Lambda, load balancers (ELBs) in the defined virtual private connection.
• Involved in migrating physical Linux/Windows servers to cloud (AWS) & maintained the user accounts (IAM), RDS, Route 53, SES and SNS services in AWS cloud.
• Proficient with Jenkins and Bamboo for continuous integration and for End-to-End automation for application build and deployments.
• Created Continuous Integration and Continuous Delivery Pipelines for the build and deployment automation in place.
• Worked on integrating AWS DynamoDB using AWS Lambdato store the values and backup the DynamoDB streams, Automating the AWS resources by using Terraform templates.
• Designed AWS CloudFormation/ Terraform to create custom sized VPC, Subnets, NAT to ensure successful deployment of Web Applications and database templates.
• Developed and automated build scripts and deployed using ANT and MAVEN as build tools in Jenkins to move from one environment to other environments.
• Worked on Docker container snapshots, performed the job of attaching them to a running container, removing images, maintaining dimension structure, and managing containers.
• Created a Continuous Delivery process to include support building of Docker Images and publish into a private repository- Nexus v3.
• Configured CI, CD (Continuous integration/Deployment) pipeline for the automatic deployment of artifacts/application to the required servers or environments in Jenkins CI, and Clean for the new build process whenever code commits are done to SCM tool GIT.
• Implemented a production ready, load balanced, highly available, fault tolerant Kubernetes infrastructure.
• Used Kubernetes to orchestrate the deployment, scaling and management of Docker Containers.
• Used Jenkins pipelines to drive all microservices builds out to the Docker registry and then deployed to Kubernetes, Created Pods and managed using Kubernetes
• Experience in working with various network protocols such as FTP, TCP, UDP, ICMP, SFTP, SSH, HTTP, HTTPS etc. and familiarity with basic networking concepts such as firewalls, subnets, CIDR addressing, routing, DNS, etc.
• Used Ansible Tower, which provides an easy-to-use dashboard and role-based access control, so that it is easier to allow individual teams access to use Ansible for their deployments.
• Used Ansible to Setup/teardown of ELK stack (Elasticsearch, Logstash, Kibana) and troubleshoot the build issues with ELK and work towards the solution
• Managed servers on the Amazon Web Services (AWS) platform instances using Chef Configuration management.
• Worked with various scripting languages like Python and wrote scripts in python for pushing data from NoSQL Database to MySQL Database.
• Developed the chef recipes and uploaded them to the master chef server using chef client tool like chef-repo.
• Understanding & usage of Atlassian tools (i.e., Bamboo, JIRA) & worked with JIRA tool to track all the defects and changes released to all environments.
• Eliminated extended downtime of network and processes by installing and configuring a Nagios server to monitor Windows/Centos / RHEL servers.

Environment: AWS (EC2, S3, RDS, EBS, and Elastic Load Balancer, Auto scaling groups and optimized volumes, EC2 instances), Jenkins, Ansible, Docker, Docker containers, Git, Kubernetes, YAML scripting, Nginx, Terraform, Ruby Scripts, Python Scripts, MongoDB, Chef, Maven, Puppet, Tomcat, Cassandra, Apache, Ant, Java, SonarCube.

Confidential

Systems Engineer

Responsibilities:

• Well versed in managing source code repositories like Git, GitHub, bit bucket.
• Coordinate/assist developers with establishing and applying appropriate branching, labeling/naming conventions using GIT source control.
• Implemented a Continuous Delivery pipeline with Docker, Jenkins and GITHub - when a new GITHub branch is started, Jenkins automatically builds a new Docker container.
• Used various plug-ins to extend the base functionality of Jenkins to deploy, integrate tests and display reports.
• Assisted in migrating applications from customer on-premises data center to the cloud (AWS).
• Support production issues and troubleshooting for both on premise databases as well as Amazon Web Services (AWS) Relational Database Service (RDS).
• Implemented AWS client API to interact with different services as Console configuration for AWS EC2.
• Automated CI/CD with Jenkins, build-pipeline-plugin, Maven, GIT Set up Jenkins master/slave to distribute builds on slave nodes.
• Configured TCP/IP for servers, workstations, and setup of complete network.
• Initiated responsibility for administering the SVN and GIT servers, which included install, upgrade, backup, adding users, creating repository/branches, merging, writing hooks scripts, performance tuning, troubleshooting issues and maintenance.
• Administered 7 Bamboo servers and Jenkins which includes install, upgrade, backup, adding users, creating plans, installing local/remote agent, adding capabilities, performance tuning, troubleshooting issues and maintenance
• Created multiple automation tools geared for safe Cluster management, Service and IIS restarts, Parallel bit deployments, VM deployments, and general server management automation.
• Debugging the failure issues by capturing the array and register dumps using Python scripts, traces and performing several experiments by interacting with the design team.
• Build and Release Java Applications to DEV, Test, Pre-Prod and Prod Environments.
• Provided the development, testing, staging and production environments to the new J2EE application development and implementation.
• Designed and implemented fully automated server build, management, monitoring, and deployment solutions spanning multiple platforms, tools and technologies including Jenkins, Nexus, SVN, Blade logic and WebSphere.
• Installed, configured, administered, and supported WebSphere Application Server 6.0/6.1/7.0 on LINUX environment.
• Source in creating MasterBuild.xml, Build. Properties & Pom.xml files and provided technical support to the development team for compilation problems.
• Used ANT and MAVEN as build tools on java projects for the development of build artifacts on the source code.Converting the ANT Build projects to Maven Build projects
• Involved in developing the ruby scripts for puppet and great ideas to automate system deployment to scale infrastructure
• Installed and configured of VMware ESX 4.x, installation and configuration of VMware Virtual Center Server and creating Virtual Machines.
• Experience in Relational Databases likes MS SQL Server, Oracle and MySQL and database programming using T-SQL, PL/SQL.

Environment: AWS, Subversion, ANT, MAVEN, Java/J2EE, .NET, GIT, Jenkins, Hudson, Bamboo, Puppet, Apache Tomcat, UNIX, JIRA, Ruby Scripts, Python Scripts, Shell Scripts, YAML, Crypto vault, Nexus, WCF.

Confidential

Linux Administrator

Responsibilities:

• Involved in Design, Configuration, Administration and Development of LAMP (Linux Apache MySQL PHP) based architecture and other open-source applications.
• Configured Kickstart servers and booted the images using PXE in RedHat Linux and used RedHat Satellite server extensively.
• Worked on account,user and group administration, Permissions policy management and quota implementation.
• Worked as a JIRA Admin for creating the Jira Stories and assigned them to the developer and QA teams.
• Day to day system administration & monitoring, file system management, performance & security analysis.
• Written shell scripts for automated installations, monitoring, to extract logs using Bash, PERL scripts & python.
• Planned, scheduled and Implemented OS patches on both Solaris & Linux boxes as a part of proactive maintenance.
• Involved in creating and growing the Filesystem by using Veritas Volume Manager, Solaris volume manager and LVM.
• Installation and configuration of Red Hat Enterprise Linux servers using kickstart unattended installation in addition to PXE Boot, configuring of new servers and workstations using kickstart and AutoStart.
• Experience in maintaining Oracle Database in Clustered environment (RAC) on both Windows and Linux.
• Support, maintenance, installed and configured 2 node server-side load balancing oracle rac 10g, 11g databases on Linux with asm and data guard.
• Experience with Jumpstart & Kickstart Installations on Solaris & Linux
• Performed both interactive and automated (kickstart) installations of Red Hat Enterprise Linux using bash scripting.
• Provided 24x7 System Administration support for 300+ Red Hat Linux 3.x, 4. X servers and resolved trouble tickets on shift rotation basis.
• Developed Linux, UNIX, Perl, and Shell Scripts and AWT programming for manual deployment of the code to various environments.
• Experienced in scripting for automation and monitoring using Shell, Bash and KSH.
• Responsible for scheduling jobs using crontab.
• Installed, configured, and maintained DNS servers, Mail servers, FTP servers, NFS, NIS, NIS+, RPM.
• Installed and configured of hardware and Linux like SUSE and RHEL 5/6 on x86 servers.

Environment: Linux, UNIX, Microsoft Windows, LAMP, Veritas Volume Manager (VVM), Logical Volume Manager (LVM), TCP/IP, DNS, NFS, NIS, NIS+, PHP, Python, SAMBA, LDAP, SSH, SSL, SFTP, SMTP, SNMP, SVN, .Net, ZFS, Java, SQL, MongoDB, Agile, WebLogic, Subversion, Oracle, Splunk.