PROFESSIONAL SUMMARY

• Experienced IT professional with over 7+ years of total experience in design, development, build and deployment of web applications in practicing Cloud Computing, DevOps & Quality Engineering. Excellent reputation for resolving problems, improving customer satisfaction, and driving overall operational improvements. Consistently saved costs while increasing profits.
• Detailed technical knowledge and hands - on experience of DevOps, Automation, Build Engineering and Configuration Management.
• AWS Certified sysops administrator with Expertise knowledge on practical implementation of AWS Cloud-Specific services which include EC2, EBS, S3, VPC, RDS, SES, ELB, EMR, ECS, Cloud Front, Cloud Formation, Cloud Watch, RedShift, Terraform, Lambda, SNS, DynamoDB.
• Experience in Building a highly scalable, highly available, Public cloud infrastructure using Azure services like App services, Azure Storage, Azure SQL database, Virtual machines, Fabric controller, Azure AD, Azure search, Notification hub, Application Insights, Virtual Networks, Virtual Machines, Cloud services, VPN, Application Gateways.
• Converted existing Terraform modules that had version conflicts to utilize cloud formation during Terraform deployments to enable more control or missing capabilities
• Involved in developing cloud strategies, roadmaps, architecting new cloud solutions or migrating enterprise applications to the cloud.
• Experience in Scheduling, deploying, managing container replicas onto a node cluster using Kubernetes and experienced in creating Kubernetes clusters work with frameworks running on the same cluster resources.
• Experience in working on several Docker components like Docker Engine, Hub, Machine, Docker Compose and Docker Registry, creating Docker images and handling multiple images primarily for middleware installations and domain configurations.
• Experience on Implementing continuous deployment and environment provisioning using Ansible by installing packages on remote agentless nodes through Ansible playbooks with Ansible roles. Used file modules in Ansible playbooks to copy, remove, modify the files on agentless remote servers from ansible control server.
• Experience in Deploying and configuring Chef server including bootstrapping of Chef-Client nodes for provisioning and creating roles, recipes, cookbooks and uploading them to Chef-server, Managing On-site OS, Applications, Services, Packages using Chef as well as AWS for EC2, S3, Route53 and ELB with Chef Cookbooks.
• Worked in writing the Groovy scripts for CICD Pipeline using Jenkins pipeline and made a path for the smooth deployment of micro services code using Dockerized builds to AWS ECS.
• Worked with tools such as JIRA, Agile/Scrum Methodology, Rally with short sprint cycle to release product, used JIRA for making projects, created mail handlers and notice schemes for JIRA and documented the processes in Confluence.
• Strong experience in using build management tools like Maven, Ant, and Gradle for the building of deployable artifacts (jar, war, and ear) from source code and used artifacts repository managers like Nexus, JFrog for Maven builds.
• Experience in keeping up and looking at log archives using monitoring tools like Nagios, Splunk, CloudWatch, ELK Stack, Dynatrace, New Relic, Prometheus, and App Dynamics.
• Experience in installing, configuring, managing MYSQL, SQL Server, PostgreSQL, Oracle, MongoDB & Cassandra. Ability to build deployment, build scripts and automated solutions using scripting languages such as Bash, Shell, Ruby, and Python.
• Experienced with Code Quality tools like Sonar, JUnit, Jacoco, Proficient with test automation tools like HP QTP, Selenium, JMeter, SOAPUI.
• Experience in configuration Linux Network Services such as IP4, routing, DHCP, ICMP, NAT, VPN, DNS, NTP, NFS, FTP, SSH, LAMP and Linux Security and network topologies like PAM, TCP wrappers, Firewall/IP-tables, Selinux.
• Worked as a team member to provide 24x7 on-call production support.

TECHNICAL SKILLS

Cloud Computing: Amazon web services, Azure

AWS: Amazon CLI, EC2, S3, Route53, AMI creation, Elastic load balancer.

Programming languages: Python, Perl, Ruby, Bash, PowerShell

Containers: Docker, Docker Swarm, Kubernetes

Version control system: Git, SVN, CVS, GitHub, GitLab, Bitbucket

Infrastructure as Code: Terraform, Pulumi, Cloud formation, ARM

Continuous integration: Jenkins, TeamCity, Travis - CI

Application Server: IBM WebSphere Application Server, Tomcat, GlassFish, WebLogic

Database: MongoDB, Redis, MySQL, Oracle, PostgreSQL.

Virtualization: VMware, Citrix, KVM, OpenVZ

Linux OS: Red Hat, CentOS, Debian, Ubuntu

Windows OS: Windows Server 2003 to Windows Server 2016

Web Server: Microsoft IIS, Apache, Nginx

Methodologies: SCRUM, ITIL, Agile.

PROFESSIONAL EXPERIENCE

Confidential

Sr DevOps/Cloud Engineer

Responsibilities:

• Managed infrastructure of a new platform through IaC tools
• Supported on High Availability, Big Data solutions and Storage systems and planning for backup strategies.
• Manage and handle the user accounts (IAM), RDS, Route 53, VPC, RDB, Dynamo DB, SES, SQS and SNS services in AWS cloud.
• Creating public and private subnets within the VPC and attaching them to the EC2 instances based on the requirement. Configured Elastic Load Balancers with EC2, Auto scaling groups.
• Created SNS (Simple Notification Services) and triggering it by Cloud Watch monitoring to send SMS or Email to desired recipients.
• Responsible for day to day Build and deployments in Dev, QA, pre-production and production environments. Implemented AWS high availability using AWS Elastic Load Balancing (ELB), which performed balance across instances in multiple availability zones.
• Wrote AWS Lambda functions in python for AWS's Lambda which invokes python scripts to perform various transformations and analytics on large data sets in EMR clusters.
• Supported highly durable and available data by using S3 data store, versioning, lifecycle policies, and create AMIs for mission critical production servers for backup.
• Deployed web applications behind AWS CloudFront and added a layer of security via AWS WAF.
• Created Ansible playbooks to automatically install packages from a repository, to change the configuration of remotely configured machines and to deploy new builds.
• Provisioned the highly available EC2 Instances using Terraform and Ansible Playbooks.
• Implemented Terraform modules for deployment of applications across multiple cloud providers
• Replaced the use of CloudFormation with Terraform to not be fully locked into a single cloud provider.
• Worked with Ansible to manage Web Applications, Config Files, Data Base, Commands, Users Mount Points, and Packages. Ansible to assist in building automation policies.
• Worked with containerization tools, can implement transition to Docker and develop distributed cloud system using Kubernetes and Helm package manager for Kubernetes.
• Deployed production-ready Kubernetes Clusters on top of Amazon EC2 instances using KOPS.
• Developed Production environment of different applications on AWS by provisioning Kubernetes clusters on EC2 instances using Kubernetes Operations (KOPS).
• Worked on Docker hub, creating Docker images and handling multiple images primarily for middleware installations and domain configurations.
• Used Packer to create golden images with the custom configuration. Knowledge on creating Kafka, zookeeper and baking AMI's by using Packer.
• Developed and Implemented Kubernetes manifests, helm charts for deployment of microservices into k8s clusters.
• Configured AWS Identity and Access Management (IAM) Groups and Users for improved login authentication. Provided policies to groups using policy generator and set different permissions based on the requirement along with providing Amazon Resource Name (ARN)
• Extensively involved in infrastructure as code, execution plans, resource graph and change automation using Terraform.
• Established infrastructure and service monitoring using Prometheus and Grafana.
• Built on-premises data pipelines using Kafka and Spark streaming using the feed from API streaming Gateway REST service.
• Installed, configured and managed the ELK Stack (Elastic Search, Log stash and Kibana) for Log management within EC2 / Elastic Load balancer for Elastic Search
• Used Kafka Producer and Consumer API to push and read the messages from the topics.
• Wrote Ansible playbooks from scratch in YAML. Installing, setting up & Troubleshooting Ansible, created and automated platform environment setup on AWS cloud.
• Troubleshooted complex Kafka issues in a Kubernetes cluster, leading to an AWS MSK POC
• Lead a POC related to AWS EKS versus running k8s on KOPS
• Establishing a complete DevOps pipeline using Git, GitHub, Ansible, Jenkins, Docker, and Kubernetes to deploy quicker and efficiently to production.
• Manage and administrate version control systems with GitHub Enterprise & Git. Creating and modifying different versions for use in Jenkins and Ansible. This is controlled to be used in different environments over all regions.

Environment: Dockers, Kubernetes, Ansible, Terraform, AWS, EC2, S3, VPC, ELB, Cloud Watch, Dynamo DB, SNS, SQS, API Gateway, Auto scaling, EBS, RDS, Jenkins, GIT, Linux, LAMP, Nagios, Maven, MuleSoft, Apache Tomcat, Shell, Perl and Python.

Confidential, Plano, Texas

Sr DevOps/Cloud Engineer

Responsibilities:

• Written templates for AWS infrastructure as a code using Terraform to build DEV, QA, staging and production environments.
• Automated test environments provisioning (Selenium, SonarQube, HP QTP) and integrated using Jenkins.
• Used MySQL, DynamoDB and Elastic cache to perform basic database administration. Build out server automation with Continuous Integration - Continuous Deployment tools like Jenkins for deployment and build management system.
• Developed and implemented software release management strategies for various applications according to agile process.
• Built Elastic search, Log stash and Kibana (ELK) for centralized logging and then store logs and metrics into S3 bucket using Lambda function
• Designed AWS Cloud Formation templates to create custom sized VPC, subnets, NAT to ensure successful deployment of Web applications and database templates.
• DevOps and IAAC (Infrastructure as Code) tooling includes Terraform, Packer, CloudFormation, Ansible, Jenkins, Nexus, Docker, Kubernetes, PowerShell, Bash, and Bitbucket
• Worked heavily with AWS and its infrastructure, including EC2, AMI, ECS, Elastic Cache, Elasticsearch, RDS, VPC implementation, IAM, KMS, WAF, CloudTrail, CloudWatch, S3, CloudFront, AWS CLI scripting, ELB, Route 53, Lambda, DynamoDB, Elastic Beanstalk, SQS, SNS and Security group management.
• Utilized Cloud Watch to monitor resources such as EC2, CPU memory, Amazon RDS DB services, Dynamo DB tables, Elastic Block Store (EBS) volumes to set alarms for notification or automated actions; and to monitor logs for a better understanding and operation of the system.
• Created S3 buckets and managing policies for S3 buckets and Utilized S3 bucket for storage and backup on AWS. Extensive knowledge in migrating applications from internal data center to AWS.
• Experienced in writing live Real-time Processing and core jobs using Spark Streaming with Kafka as a data pipe-line system.
• Migrated an existing on-premises application to AWS. Used AWS services like EC2 and S3 for small data sets processing and storage, Experienced in Maintaining the Hadoop cluster on AWS EMR.
• Design and Develop ETL Processes in AWS Glue to migrate Campaign data from external sources like S3, ORC/Parquet/Text Files into AWS Redshift.
• CIS-compliant AMI builds and deployments for Amazon Linux, Ubuntu, RHEL and Windows Server using Confidential Packer and Terraform
• Database management and administration using Amazon RDS PostgreSQL, Amazon DynamoDB and MSSQL on Docker and Windows Server clusters
• Installed, Configured and automated the Jenkins Build jobs for Continuous Integration and AWS Deployment pipelines using various plugins like Jenkins EC2 plugin and Jenkins Cloud Formation plugin.
• Automated various infrastructure activities like Continuous Deployment, Application Server setup, Stack monitoring using Ansible playbooks and has Integrated Ansible with Jenkins.
• Administered Jenkins for Continuous Integration and deployment into Tomcat/Web Sphere Application Servers. Integrated builds with Code Quality Tools like Cobertura, PMD and Find bugs.
• Experience working on Docker Hub, creating Docker images and handling multiple images primarily for middleware installations and domain configurations.
• Build servers using AWS, importing volumes, launching EC2, RDS, creating security groups, auto-scaling, load balancers (ELBs) in the defined virtual private connection.
• Developed scripts using PERL, BASH and BATCH files for Automation of Activities and builds.
• Managing Amazon instances by taking AMIs and performing administration and monitoring of Amazon instances likeEC2 using Amazon Cloud Watch, Transfer data from Datacenters to cloud using AWS Import/Export Snowball service.
• Wrote Ansible Playbooks to install and configure Apache, Tomcat, Jenkins, Run deck and deployment automation. Installed Docker Registry for local upload and download of Docker images and even from Docker hub
• Run Jenkins on-top of Kubernetes to drive all automation with web-hooks tied into our GIT system. Used most recent pipeline/multi-branch usefulness for dealing with all stages of pipeline by means of Jenkins file written in Groovy.
• Experience in JIRA for ticketing and as well as defect tracking system and configure various workflows, customizations and plug-ins for JIRA bug/issue tracker, integrated Jenkins with JIRA, GitHub.
• Developed Python scripts for patch management of servers, also for deploying the code manually to different environments and updating the team after the completion of build successfully.
• Used Packer to create Automated Machine Images and automated the whole AMI creation process using Jenkins.
• Designing and Setting-Up the Splunk Architecture in the organization and creating Applications on Splunk to analyze the Big Data. Design and write code to develop and maintain systems which power Splunk multi-tenant services hosted in the public clouds

Environment: Jenkins, Docker, Kubernetes, JIRA, CI/CD, AWS, Ansible, Bit bucket, AWS (EC2, VPC, ELB, S3, Amazon RDS, Cloud Trail and Route 53, VPC, Route53, EBS, EMR,SQL, ELB, Cloud Watch, Cloud Formation), Packer, Terraform, YAML, Python, Kafka, Bash, Selenium.

Confidential, Dallas, Texas

Sr DevOps/Cloud Engineer

Responsibilities:

• Perform cloud migrations and work with clients and development teams to own the infrastructure components of the project.
• Design, implement and manage virtual networking within Azure and connect to on-premises environments, configure Express Route, Virtual Network, VPN Gateways, DNS and Load Balancer
• Worked on Azure Site Recovery and Azure Backup- Deployed Instances on Azure environments and in Data centers and migrating to Azure using Azure Site Recovery and collecting data from all Azure Resources using Log Analytics and analyzed the data to resolve issues.
• Installed and Configured Log Analytics. Creating Change Management Dashboard in Azure cloud to monitor the success and failure of live deployments.
• Used Terraform to reliably version and create infrastructure on Azure. Created resources, using Azure Terraform modules, and automated infrastructure management.
• Creating PowerShell and CLI script for automating VM build process, worked with clones and snapshots of Virtual Machines.
• Implemented Bastion Host s to communicate with other hosts in the internet from a private host.
• Hands on experience on Azure VPN-Point to Site, Virtual networks, Azure Custom security, Endpoint security, firewall, Backup and restore Azure services. Configured Azure SQL Database and Data warehouse (DW) on virtual machines and PaaS.
• Experience of using Azure backups and Recovery Vault to migrate on premise to Windows Azure in DR on cloud.
• 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.
• Designed User Defined Routes with custom route tables for specific cases to force tunneling to the Internet via On-premise network and control use of virtual appliances in the customer's Azure environment.
• Experience working on Service fabric and Azure container service. deployed architecture for Azure Service fabric.
• Wrote Ansible Playbooks to install and configure Apache, Tomcat, Jenkins, Run deck and deployment automation. Installed Docker Registry for local upload and download of Docker images and even from Docker hub
• Run Jenkins on-top of Kubernetes to drive all automation with web-hooks tied into our GIT system. Used most recent pipeline/multi-branch usefulness for dealing with all stages of pipeline by means of Jenkins file written in Groovy.
• Used Jenkins as Code Deploy plugin to deploy to Azure for continuous integration and for all end to end automation functions with all build and deployments.
• Experience in JIRA for ticketing and as well as defect tracking system and configure various workflows, customizations and plug-ins for JIRA bug/issue tracker, integrated Jenkins with JIRA, GitHub.
• Used Packer to create Automated Machine Images and automated the whole AMI creation process using Jenkins.
• Planned, designed, configured and implemented Windows Server Update Services WSUS (both master and replica server
• Designing and Setting-Up the Splunk Architecture in the organization and creating Applications on Splunk to analyze the Big Data. Design and write code to develop and maintain systems which power Splunk multi-tenant services hosted in the public clouds

Environments: Azure, Nexus, Ansible, Terraform, Jenkins, Jira, SHELL, Groovy, Bitbucket, Docker, Kubernetes, GCP, Packer, Windows Server Update Services (WSUS), Azure bastion, Splunk

Confidential, Maplewood, MN

Sr Cloud/DevOps Engineer

Responsibilities:

• Provisioned Azure resources like SQL Database, Web App, Storage Account, Redis Cache, Virtual Machine, IoT Hub, and HDInsight using Azure Resource Manager (ARM).
• Experience in creating and designing the Terraform templates to create custom sized Resource groups, Kubernetes cluster, Container, blob storages, IOT hub, Event hub. Infrastructure as a code deployment of Web application templates
• Solutions Consultant responsible to be primary SME on Azure services including SaaS, PaaS and IaaS while contributing architecture decisions and tasks for ongoing migration efforts.
• Implemented the integration between App services with Application Insights for monitoring the Activity logs of web-apps and automation for deployments by using YAML scripts for massive builds and releases.
• Ensured in Azure services beyond basic IaaS functionality and Used Azure Resource Manager (ARM) to deploy, update, or delete all the resources for your solution in a single, coordinated operation.
• Configured Azure Backup Service for taking backup of Azure VM and data of on premise to Azure and Leveraged Azure Automation and PowerShell, Ansible to automate processes in the Azure Cloud.
• Created Clusters using Kubernetes and worked on creating many pods, replication controllers, services, deployments, labels, health checks and ingress by writing YAML files.
• Integrated existing API's to Azure API management to get all the attributes like security, usage plans, throttling, analytics, monitoring, and alerts.
• Developed CI/CD pipelines using Azure DevOps to deploy Snow SQL's, data factory components and python scripts to their respective destinations.
• Developed data marts in Snowflake cloud data warehouse.
• Wrote PowerShell scripts and Azure Automation runbooks focused around automating daily tasks and quickly implementing time intensive requirements.
• Installing and Configuring Log Analytics. Creating Change Management Dashboard in Azure cloud to monitor the success and failure of live deployments.
• Improved application performance using Azure Search and Internet of Things (IoT) optimization and Implemented Azure Application Insights to store user activities and error logging.
• Used Helm charts to integrate the application with different ports and it contains service, deploy and ingress files in YAML.
• Created builds and release pipelines in VSTS and done deployments using SPN (secure endpoint connection) for implementing CI/CD.
• Implement ETL and data movement solutions using Azure Data Factory, SSIS create and run SSIS Package ADF V2 Azure-SSIS IR
• Automated the build and release management process with CI/CD across Dev, QA, Staging and

Environment: Azure, AzureDevOps, Terraform, GitHub, Docker, Kubernetes, python, Shell, PowerShell, Datadog, ELK, AWS

Confidential, Dallas, Texas

DevOps/Cloud Engineer

Responsibilities:

• Worked for DevOps Platform team and responsible for specialization areas related to Cloud Automation.
• Developed and implemented software release management strategies for various applications as per agile process.
• Worked with AWS services like EC2, S3, VPC, ELB, Autoscaling Groups, Route 53, IAM, CloudTrail, CloudWatch, CloudFormation, CloudFront, SNS, and RDS.
• Build and configured Virtual data center in AWS cloud to support enterprise including Virtual private cloud (VPC), public and private subnets, security groups, route table, Elastic load balancing
• Created S3 buckets and maintained and utilized the policy management of S3 buckets and Glacier for storage and backup on AWS.
• Templated AWS (IAAS) using Terraform to build staging and production environments. Developed Terraform modules for automating the provisioned the AWS infrastructure.
• Written Terraform templates, Chef cookbooks pushed them onto Chef for configuring EC2 Instances and Solved Gateway time issue on ELB and moved all the logs to S3 Bucket by using Terraform
• Written chef cookbooks and recipes to Provision several pre-prod environments consisting of Cassandra DB installations, web logic domain creations and several proprietary middleware installations
• Configured the Cloud Trial on the AWS console and created the Cloud watch events to receive SNS Notifications when someone terminates the EC2 instance
• Designed, configured and deployed multiple applications utilizing the Amazon Web Services focusing on high-availability, Auto-Scaling and defined IAM, Security Groups in AWS.
• Branching, Tagging, Release Activities on Version Control Tool GIT and developed Custom Scripts to monitor repositories, Server storage.
• Wrote ANT Scripts to automate build process, provided build script for building and deploying application.
• Installed, Configured, Administered Jenkins Continuous Integration Tool also automated Continuous Build and deploys Scripts for Jenkins using CI/CD pipeline.
• Troubleshooted build issues in Jenkins, performance and generating metrics on master's performance along with jobs usage and no. of builds being run. Integration of Automated Build with Deployment Pipeline.
• Improving Continuous Integration workflow using Virtual Environments like Docker and automated Build process using Docker and similar tools.
• Designed and worked with the team to implement ELK (elastic search, log stash, and Kibana) Stack on AWS. Implemented and maintained monitoring and alerting of production and corporate servers such as EC2 and storage such as S3 buckets using AWS Cloud Watch
• Hands on involvement in redesigning servers utilizing RPM, Apt-get and Yum bundle installer. Developed Shell and Python scripts for automation of the build and release process.
• Deployed applications on Apache Web server and Application Servers like Tomcat, JBoss.Created detailed documentation of complex build and release process for Demand ware, post release activities process, JIRA workflow and Release notes.
• Provisioned Azure recourses like SQL Database, Web App, Storage Account, Redis Cache, Virtual Machine and HDInsight using Azure Resource Manager (ARM).

Environment: AWS, Azure, Git, ANT, MAVEN, Jenkins, Chef, Python, Docker, Nagios, Apache Tomcat, JBoss, Ruby, Red Hat Enterprise Linux, UNIX, Nagios, ELK, App Dynamics, Shell

Confidential

Build & Release Engineer

Responsibilities:

• Created the automated build and deployment process for application, re-engineering setup for better user experience, and leading up to building a continuous integration system.
• Developed and implemented Software Release Management strategies for various applications according to the agile process.
• Responsible for Continuous Integration (CI) and Continuous Delivery (CD) process implementation-using Jenkins along with Python and Shell scripts to automate routine jobs.
• Installed, Configured and Administered Hudson/Jenkins Continuous Integration Tool.
• Developed build and deployment scripts using MAVEN as build tool in Jenkins to move from one environment to other environments.
• Developed automation framework for Application Deployments to the cloud environments.
• Installed and configured Infrastructure Automation tool Puppet. Created and updated Puppet manifests and modules, files, and packages.
• Performed Branching, Tagging, and Release Activities on Version Control Tools: SVN, GIT.
• Developed Perl and shell scripts for automation of the build and release process, developed Custom Scripts to monitor repositories, Server storage.
• Automated the cloud deployments using Chef, ruby and AWS Cloud Formation Templates.
• Used Maven as build tool on projects for the development of build artifacts on the source code.
• Implemented rapid provisioning and life-cycle management for Ubuntu Linux using Amazon EC2, Chef, and custom Ruby/Bash scripts.
• Deployed the applications into web application servers like JBoss.
• Performed and deployed Builds for various Environments like QA, Integration, UAT and Productions Environments
• Worked on configuring the Jenkins to use MetaCase Software to build and also to do the whole C.I process on the generated by MetaCase.
• Troubleshoot and resolved Build failures due to infrastructure issues reduced by 95% stabilizing the build process. Setup and executed process to code review system effectively
• Organized and Coordinated Product Releases work closely with product development, QA, Support across global locations to ensure successful releases.
• Documented release metrics, software configuration process. Used Maven scripts to build the source code. Supported and helped to create Dynamic Views and Snapshot views for end users.
• Enabled Continuous Delivery through Deployment into several environments of Development, Test and Production using Maven and Sonarqube.
• Worked on the installation and configuration of the monitoring tool Nagios.
• Worked on Apache and Firewalls in both development and production.

Environment: Ubuntu, AIX, Maven, Sonarqube, Nagios, Shell, VMware ESXi, Maven, Jenkins/Hudson, Python, GIT, JBoss, Windows, Ruby Chef, JIRA

Confidential

Unix/Linux Administrator

Responsibilities:

• Provide expertise and services in installing, configuring and maintaining Red Hat Linux/Oracle Linux and Centos servers within dev and prod environment
• Responsible for creating and managing user accounts, security, rights, disk space and process monitoring in Solaris, CentOS and Redhat Linux
• Installed and configured Logical Volume Manager - LVM and RAID
• Configures DNS, NFS, FTP, remote access, and security management
• Involved in the configuration of remote access systems through SSH, and managed system security via TCP Wrappers
• Reviewing system and application logs, and verifying completion of scheduled jobs such as backups
• OS upgrades and installation of third-party software, packages and patches as per requirement
• Configured and managed Apache Web Server on Linux for web-based applications using REST/SOAP, Apache and Weblogic
• Monitoring Firewalls using Firewall Analyzer and troubleshooting VPN related issue checks and correct any monitoring software system alerts
• Applied the Clustering Topology that meets High Availability and Failover requirement for performance and functionality
• KVM virtualization, Building of RPMS from source packages
• Monitored system security, network traffic, network connections, and adjust system parameters to increase system performance
• Administration and configuration LAMP based Ubuntu servers with Drupal 7.x CMS systems. Drupal Installs, core module upgrades, security upgrades
• Collaborated with developers to load software onto Linux Enterprise servers and debugging Scripts
• Experience in installing Firmware Upgrades, kernel patches, systems configuration, performance tuning on Linux systems
• Provided technical support by troubleshooting Day-to-Day issues with various servers on different platforms

Environment: s RedHat Linux 5.x, 6.x, Weblogic, CentOS, VMware vSphere 4.0, VMware ESX 3.5.0, GIT, Shell Scripting, MySQL, Tomcat, Nagios, Drupal, LAMP, JBoss, JIRA