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DevOps/Azure/AWS

Location:
McKinney, TX
Salary:
75$
Posted:
June 29, 2023

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Resume:

PROFESSIONAL SUMMARY

Overall, ** years of comprehensive experience in IT Industry in that 5+ years of experience in the areas of DevOps, AWS Cloud, and CI/CD pipeline, Configuration Management Build/Release Management and 4 years of experience in Linux/Windows Administration.

Worked on installation, configuration, maintenance and troubleshooting of Red hat Linux, Linux, Ubuntu, Fedora, CentOS, Sun Solaris and some Windows Servers.

Experience in Cloud implementations [AWS, Azure] involving extensive work towards code compilation, packaging, building, debugging, automating, managing, tuning and deploying code across multiple environments yet flexible in multitasking when necessary. Proficiency in writing automation scripts to support infrastructure as code in AWS/Azure and Linux/Windows Administration.

Experience in architecting and Configuring public/private cloud infrastructures utilizing Amazon Web Services (AWS) including EC2, Elastic Load-balancers, Elastic Container Service (Docker Containers), S3, RDS, Dynamo DB, VPC, Direct-Connect, Route53, Cloud Watch, Kinési, Cloud Formation, IAM

Experience on complete software development life cycle (SDLC) with software development models like Agile, Scrum Model, JIRA, Waterfall model.

Developed and maintained Ansible playbooks for automating software deployments, configuration management, and infrastructure provisioning.

Highly motivated and committed DevOps Engineer experienced in Automating, configuring and deploying instances on AWS, Microsoft Azure and Rackspace cloud environments and Data centers.

Transfer data from Datacenters to clsoud using AWS Import/Export Snowball service.

Automate deployment for SaaS based application on cloud using Pivotal Cloud Foundry and AWS.

Manage Amazon Redshift clusters such as launching the cluster and specifying the node type as well.

Setup and build AWS infrastructure using various resources, VPC EC2, RDB, S3, IAM, EBS, Security Group, Auto Scaling, SES, SNS and RDS in Cloud Formation JSON templates, Route53, Lambda.

Create and deploy applications, manage domains, control access to our OpenShift applications, and give you complete control of your cloud environment.

Worked across both private (OpenStack) and public clouds (Amazon AWS).

Worked on AWS for deploying EC2 instances consisting of various flavors viz., Oracle Linux, RHEL, CentOS, Ubuntu and Solaris in both Linux and Windows.

Championed in cloud provisioning tools such as Terraform and CloudFormation.

Created and deployed VMs on the Microsoft cloud service Azure, managed the virtual networks, Azure AD and SQL.

Deployed and managed Apigee API management platform on Azure cloud infrastructure.

Integrated ELK stack with other tools and systems, such as monitoring solutions and incident management platforms, for streamlined log analysis and incident response.

Worked with Amazon EMR (Elastic MapReduce) to process vast amounts of data in a distributed computing environment.

Experience in maintaining Atlassian products like JIRA, Confluence, and Bitbucket.

Experience in development and deployment of applications using JBoss, IBM WebSphere Application and Apache Tomcat.

Deployed Azure IaaS virtual machines (VMs) and Cloud services (PaaS role instances) into secure VNets and subnets.

Proficient with container systems like Docker and container orchestration like EC2 Container Service, Kubernetes, worked with Terraform.

Designed highly available, cost effective and fault tolerant systems using multiple EC2instances, Auto-Scaling, Elastic Load Balance (ELB) and AMIs and Glacier for QA and UAT environments as well as infrastructure servers for GIT.

Experience with capacity planning, continuous integration and application deployment using Jenkins and Subversion (SVN) and GIT for version control, Maven and Ant for Building and Packaging.

Implemented Security in Web Applications using Azure and deployed Web Applications to Azure .

Managed Docker orchestration and Docker containerization using Kubernetes.

Experience in Setting up the build and deployment automation for Terraform scripts using Jenkins.

Designed and implemented for fully implemented server build management, monitoring and deployment.

Involved in development of test environment on Docker containers and configuring the Docker containers using Kubernetes.

Configured Elasticsearch clusters for high availability, scalability, and optimal search performance, ensuring efficient log indexing and querying.

Strong hands-on background in database technologies (Oracle, Mysql, MS SQL, RDS, DynamoDB)

Extensive experience in building CI/CD pipelines using Hudson, Bamboo, Jenkins, and TeamCity for end - to-end automation for all builds and deployments.

SQL programming knowledge and experience with MySQL, Postgres, Casandra, Redis, OracleDB or MongoDB.

Developed and maintained API proxies using Apigee Edge platform in an AWS cloud environment

Integrated DynamoDB with AWS Lambda for serverless processing of data, reducing infrastructure costs and increasing agility.

Created and updated puppet manifests and modules, files and packages stored in GIT repository. Responsible for implementing Puppet for applications deployment.

Experience in writing code in Perl to develop and deploy continuous test cases, in combination with CI tools like Jenkins.

Provisioned the highly available EC2 Instances using Terraform and cloud formation and wrote new plugins to support new functionality in Terraform.

Used Kubernetes to orchestrate the deployment, scaling and management of Docker Containers.

Perform architect roles like redefining architecture and automate existing one

SQL programming knowledge and experience with MySQL, Postgres, Casandra, Redis, OracleDB and MongoDB.

Experience in Installation and Configuration of different modules of Service-Now.

Hands-on experience migrating Oracle, SQL Server instances to AWS RDS (Oracle to Oracle migration, Oracle to Postgres migration, Oracle to MySQL)

Experienced in branching, tagging and maintaining the version across the environments using SCM tools like GIT, Subversion (SVN) and TFS on Linux and windows platforms.

Knowledge of amazon cloud front to migrate content from Akamai. DATABASE using RDS mainly Postgres and MySQL, DynamoDB’s with mem cached.

Perform maintenance and troubleshooting of our enterprise Redhat OpenShift systems

Used Bash and Python, included Boto3 to supplement automation provided by Ansible and Terraform for tasks such as encrypting EBS volumes backing AMIs and scheduling Lambda functions for routine AWS tasks.

Developed Playbooks using Ansible to deploy consistent infrastructure code across multiple environments.

Worked on Jenkins jobs to new server, Jenkins pipelines, and Dockized build environments

Work to continuously improve speed, efficiency and scalability of OpenShift systems

Advance troubleshooting for SSO web applications and SAML integrations Digital Key Management and Federated Identity partner integration.

Designed and implemented ELK stack to centralize and analyze log data, providing real-time visibility into system and application logs.

Experience in Installing, configuring Cloud Foundry Ops Manager, App Manager, Etc.

Configuring and installing VMware virtual center servers and VMware Venter Appliance.

Worked with RedHat OpenShift Container Platform for Docker and Kubernetes, used Kubernetes to manage containerized applications using its nodes, ConfigMaps, node-selector, Services and deployed application containers as Pods.

EDUCATION

Bachelor of Technology in Computer Science from JNTU Hyderabad, India.

CERTIFICATION

AWS Developer – Associate

Certified Kubernetes Administrator.

TECHINCAL SKILLS

Cloud Platforms

Microsoft Azure, Aws Cloud.

Version Control Tools

GIT, Bitbucket

CI/CD

Jenkins, Azure Pipelines

Configuration & Automation Tools

Ansible

Container Platforms

Docker, Kubernetes, OpenShift.

Monitoring Tools

Nagios, Splunk

Languages

Python, Shell scripting.

Artifactory

Jfrog and Nexus

Web Servers

Nginx

Documentation

Confluence

Operating Systems

Microsoft Windows XP/ 2000, Linux, UNIX.

Tracking Tools

Jira

Databases

RDS, Cosmos DB, My SQL DB.

Logging

Cloud Watch, Cloud Trail, Azure App Insights, Azure Monitor

PROFESSIONAL EXPERIENCE

Client: Fiserv, Signal Hill, CA, USA Mar 2021- Present

Role: DevOps/Azure Engineer

Responsibilities:

Hands-on Experience in creating Azure Key Vaults to hold Certificates and Secrets, designing Inbound and Outbound traffic rules, and linking them with Subnets and Network Interfaces to filter traffic to and from Azure Resources.

Well-versed in automating Infrastructure using Azure CLI, monitoring and troubleshooting Azure resources with Azure App Insights, and accessing subscriptions with PowerShell.

Configured and maintained Azure Storage Firewalls and Virtual Networks, which use virtual Network Service Endpoints to allow administrators to define network rules.

Implemented and maintained GitLab CI/CD pipelines for building, testing, and deploying applications and services using GitLab Runners, Docker, Kubernetes, or other relevant tools, to enable automated and efficient software delivery.

Implemented and provided Single Sign-On (SSO) access to users using Software as a Service (SAAS) applications such as Dropbox, Slack, and Salesforce.com using Azure Active Directory (AAD).

Performed Azure Scalability configuration that sets up a group of Virtual Machines (VMs) and configures.

Used Jenkins pipelines to drive all micro services builds out to the Docker registry and then deployed to Kubernetes, Created Pods and managed using Kubernetes

Managed Kubernetes deployments, objects for high availability and scalability using horizontal pod scaler and resources management

Configured Azure resources such as Virtual Machines, Virtual Networks, Load Balancers, and Application Gateways using Ansible modules.

Used Azure Kubernetes Service (AKS) to deploy a managed Kubernetes cluster in Azure and created an AKS cluster in the Azure portal using template-driven deployment.

Developed continuous integration and deployment pipelines that automated builds and deployments to many environments using VSTS/TFS in the Azure DevOps Project.

Focused on using Terraform Templates to automate Azure IAAS VMs and delivering Virtual Machine Scale Sets (VMSS) in a production environment using Terraform Modules.

Experience with container-based deployments using Docker, working with Docker images, Docker Hub and Docker-registries and Kubernetes.

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.

Configured and maintained API policies in Apigee to control access, security, and traffic management.

Extensive experience in implementing Continuous integration systems for Java based projects using Ant, Maven, Jenkins and Hudson.

Designed and implemented Snowflake data warehousing solutions using Infrastructure as Code (IAC) principles and Snowflake-specific tools like SnowSQL and the Snowflake Python connector.

Create and maintain highly scalable and fault tolerant multi-tier AWS and Azure environments spanning across multiple availability zones using Terraform and CloudFormation.

Used Docker for setting Azure Container Registry with Docker and Docker-compose and actively involved in deployments on Docker using Kubernetes.

Building/Maintaining Docker container clusters managed by Kubernetes Linux, Bash, GIT, Docker, on GCP

Involved in creating Jenkins pipelines to drive all micro services builds out to the Docker images and stores in Docker registry and then deployed to Kubernetes.

Write terraform scripts from scratch for building Dev, Staging, Prod and DR environments.

Experienced with version control tools like GIT and SVN and integrated build process with Jenkins.

Involved in development of test environment on Docker containers and configuring the Docker containers using Kubernetes.

Created and maintained release pipelines in Azure DevOps to deploy API proxies across multiple environments, ensuring consistent and reliable deployments.

Designed and developed Ansible Playbooks for automating infrastructure deployment and configuration management in Azure.

Implemented and managed GitLab repositories, branches, merge requests, and workflows to enable efficient source code management, version control, and collaborative development across teams.

Developed website both frontend and backend modules using Python Django Web Framework.

Deployment of a DockerizedRabbitMQ in OpenShift so that we might use the auto-scaling capabilities of OpenShift with a RabbitMQ cluster.

Install and configuration of http servers, nginx server, ftp servers, MySQL servers

Involved in integrating Docker container-based test infrastructure into the Jenkins CI test flow and setting up a build environment integrating with GIT and JIRA to trigger builds using Web Hooks and Slave Machines.

Worked with OpenShift platform in managing Docker containers and Kubernetes Clusters.

Worked with RedHat OpenShift Container Platform for Docker and Kubernetes. Used Kubernetes to deploy scale, load balance, scale and manage Docker containers with multiple namespace versions

Developed Python and shell scripts for automation of the build and release process.

Splunk experience includes installing, setting, and troubleshooting the software, and monitoring server application logs with Splunk to detect production issues.

Collaborated with data engineers to design and optimize ETL pipelines in Snowflake, leveraging features like Snowpipe and Snowflake Tasks.

Designed and implemented EMR clusters for Big Data processing using Apache Spark, Hive, and Hadoop.

Sysadmin web servers LAMP (Linux, apache, MySQL, PHP).

Developed microservice on boarding tools leveraging Python and Jenkins allowing for easy creation and maintenance of build jobs and Kubernetes deploy and services.

Handled integrating JIRA with GIT repositories to track all code changes and implemented Azure Boards to track all issues relevant to the software development lifecycle.

Environment: Azure, Azure-DevOps, Jenkins, Web logic, Nexus, JIRA, Ansible, Oracle, Terraform, Kubernetes, Prometheus, Maven, Java, MySql, GitHub, Windows, Splunk,, Ansible, OpenStack, Docker, Service-Now.

Client: Equifax, St. Louis, USA July 2019 – Feb 2021

Role: DevOps/AWS Engineer

Responsibilities:

Worked with Windows, Linux and AWS teams to resolve issues and plan for infrastructure changes.

Provided documentation of solutions for VMWare, Windows, and Linux and AWS teams.

Launching EC2 instances and involved in AWS RDS, S3, Load Balancing, IAM, VPC, Cloud Formation, Lambda, and Cloud Watch.

Configured and managed infrastructure as code using Ansible playbooks to automate the deployment of AWS resources.

Developed automation scripts using Ansible and Terraform to deploy EMR clusters and manage infrastructure as code.

Developed Logstash pipelines to collect, parse, and transform log data from various sources, enabling centralized and structured log ingestion.

Responsible for implementing monitoring solutions in Ansible, Terraform, Docker, and Jenkins.

Used AWS Route53, to route the traffic between different availability zones. Deployed and supported Mem-cache/AWS Elastic-Cache and then Configured Elastic Load Balancing (ELB) for routing traffic between zones.

Install and configure SQL Server, OpenEdge Progress, MySQL, Postgres,

Working closely with Cassandra loading activity on history load and incremental loads from Teradata and Oracle Databases and resolving loading issues and tuning the loader for optimal performance.

Implemented and configured API policies for security, rate limiting, authentication, and traffic management in Apigee.

Designed and implemented DynamoDB tables and indexes for highly scalable, low-latency data access in an AWS environment.

Building/Maintaining Docker container clusters managed by Kubernetes Linux, Bash, GIT, Docker, on GCP .

Managing the OpenShift cluster that includes scaling up and down the AWS app nodes.

Utilized Kubernetes for the runtime environment of the CI/CD system to build, test deploy.

Developed and supported key pieces of the company's AWS cloud infrastructure. Built and managed a large deployment of Ubuntu Linux instances systems with OpsCode.

Automate Datadog Dashboards with the stack through Terraform Scripts.

Improve speed, efficiency and scalability of the continuous integration environment, automating wherever possible using Python, Ruby, Shell and PowerShell Scripts.

Migrated Oracle Databases from on-premises to AWS RDS - Oracle, Postgres, MySQL (views, stored procedures, functions, materialized views)

Configured EMR cluster security by creating custom security groups and IAM roles for accessing Amazon S3 and EC2 instances.

Created dynamic inventories in Ansible to manage AWS EC2 instances based on their tags.

Enterprise Container Services, and today using AWS Faregate. Implemented Micro Services framework with Spring Boot, NODE.JS and OpenShift containerization platform (OCP).

Involved in managing and maintaining the CI/CD pipeline using DevOps Toolset which includes Continuous Integration of GitHub, Jenkins, JFrog Artifactory and deploying through Ansible and Ansible Tower.

Worked on Multiple AWS instances, set the security groups, Elastic Load Balancer (ELB) and AMIs, Auto-scaling to design cost effective, fault tolerant and highly available systems.

Implemented cloud services IAAS, PAAS, and SaaS which include Open stack, Docker and OpenShift.

Changing the AWS infrastructure Elastic Beanstalk to Docker with kubernetes.

Automated setting up server infrastructure for the DevOps services, using Ansible, shell and python scripts.

Implemented a CI/CD pipeline with Docker, Jenkins and GitHub by virtualizing the servers using Docker for the Dev and Test environments by achieving needs through configuring automation using Containerization.

Migrated the production SQL server schema to the new AWS RDS Aurora instance.

Debug existing automation code and test to confirm functionality within AWS/EC2.

Managed AWS infrastructure as code using Terraform.

Managed Openshift master, nodes with upgrades, decommission them from active participation by evacuating the nodes and upgrading them.

Wrote SQL queries and worked on administration for optimizing and increasing the performance of database.

Integrated ELK stack with AWS services like Amazon CloudWatch and AWS CloudTrail, enabling seamless log ingestion from AWS resources and services.

Optimized DynamoDB read and write performance by utilizing partition keys, sort keys, and secondary indexes.

Configured and managed RPM repositories using Amazon S3 and Amazon EBS.

Write terraform scripts for Cloudwatch Alerts.

Installed and administered Docker and worked with Docker for convenient environment setup for development and testing.

Kubernetes is being used to orchestrate the deployment, scaling and management of Containers.

Developing Docker images to support Development and Testing Teams and their pipelines; distributed Jenkins, Selenium and JMeter images, and Elastic search, Kibana and Log stash (ELK & EFK) etc.

Worked on AWS EC2/VPC/S3/SQS/SNS based on automation Terraform, Ansible, Python, Bash Scripts.

Built Cassandra Cluster on both the physical machines and on Aws.

Used the AWS-CLI to suspend an AWS Lambda function processing an Amazon Kinesis stream, then to resume it again.

Written Terraform templates, Chef cookbooks pushed them onto Chef for configuring GCE Instances

Educate developers on how to commit their work and how can they make use of the CI/CD pipelines that are in place.

Leveraged GitLab's DevOps features, such as GitLab CI/CD, GitLab Pages, GitLab Container Registry, and GitLab Kubernetes integration, to enable end-to-end DevOps workflows and streamline the software development lifecycle.

Expand Red Hat OpenShift Container Platform solution to multiple CPU architectures

Setup full CI/CD pipelines so that each commit a developer makes will go through standard process of software lifecycle and gets tested well enough before it can make it to the production.

Used the JIRA, Confluence for bug tracking, creating the dashboard for issues.

Installation, administration and maintenance of CI/CD applications: Jenkins, Artifactory, SonarQube, Stash and Docker.

Worked with key features such as Infrastructure as code, Execution plans, Resource Graphs, Change Automation

Design EC2 instance architecture to meet high availability application architecture and deploying, configuring, and managing servers in AWS.

Helped individual teams to set up their repositories in bit bucket and maintain their code and help them setting up jobs which can make use of CI/CD environment.

Installation of ELK(Elastic search/Log stash/Kibana) stack

Managed deployments in EKS managed Kubernetes, setup multi nodes cluster and deployed containerized applications

Developed and maintained RPM packages for various applications running on AWS EC2 instances.

Managing and optimize the Continuous Integration using Jenkins, and troubleshoot the deployment build issues using the trigged logs.

Provide technical consultation and delivery services to customers for CI/CD and DevOps initiatives.

Replaced the use of CloudFormation with Terraform to not be fully locked into a single cloud provider.

Used Git for source code version control and integrated with Jenkins for CI/CD pipeline, code quality tracking and user management with build tools Maven and Ant.

Configured and managed infrastructure as code using Ansible playbooks on AWS.

Deployed Puppet for configuration management to existing infrastructure.

Hell, Java Script and XML for automating tasks.

Environment: AWS, OpenStack, Docker, Jenkins, Linux, VMware, vcenter, vSphere and vMotion, RHEL, Satellite, Splunk OpenShift, Artifactory, GitHub, SVN, CI/CD, MySql, Puppet Mcollective, Kubernetes, Puppet Hiera, Nagios, Ruby, Python, LAMP, PowerShell, Ubuntu, Cloud Formation, Apache, Terraform, Nginx.

Client: Charles Schwab, Austin, Texas Apr 2017 – Jun 2019

Role: DevOps Engineer

Responsibilities:

Involved in DevOps migration/automation processes for build and deploy systems.

Consulted and recommended client in Build and Release Management Implementation.

Used SCM/Build tools for Developers. Helping to resolve all SCM/Builds issues like merge conflicts, compilation errors, missing dependencies, Branching/Merging/Tagging.

Worked with Ansible playbooks for virtual and physical instance provisioning, Configuration management and patching through Ansible.

Automated using Ansible, Python, Perl or shell scripting with attention to detail, standardization, processes and policies.

Worked in an agile development team to deliver an end to end continuous integration/continuous delivery (CI/CD) product in an open source environment using tools like Puppet, Jenkins.

Experience in writing Puppet manifests and modules to automate the deployment process and to integrating Puppet manifests into Jenkins jobs for a continuous delivery (CD) framework.

Configured and monitored distributed and multi-platform servers.

Worked on AWS for deploying EC2 instances consisting of various flavors viz., Oracle Linux, RHEL, CentOS, Ubuntu and Solaris in both Linux and Windows.

Developed build and deployment scripts using Gradle and Ant, Maven as build tools in Jenkins to move from one environment to other environments.

Created a fullyCI/CD process. Automated Build and Deployment Platform and coordinating code build promotions and orchestrated deployments using Jenkins/Hudson and GitHub.

Build Java code on to different Jenkins servers as per the schedule.

Experience in working in .Net application and branching, Tagging, Release Activities on Version Control Tool like GIT and Subversion (SVN).

Worked as a Release Engineer for Enterprise Applications. Perform App Dynamics post Deployment monitoring and Validation reports.

Researched and implemented code coverage and unit test plug-ins like find bugs, check style and with Maven/Hudson.

Responsibility to perform the Security Scans, defect tracking, defect reporting and defect reproducing using SonarQube, Bugzilla and JMeter.

Manage releases to make sure the code goes to live with Quality and security.

Environment: Java, Maven, ANT, Gradle, groovy, GIT, SVN, Puppet, Jenkins, Ruby, Splunk, JMeter, Tomcat, Sonar Qube, Bugzilla, Shell and Perl Scripts, Ansible, PowerShell, Nexus, RHEL 5.x/6.x.

Client: Qualcomm, SanDiego, CA Dec 2013 – Nov 2016

Role: Linux Administrator

Responsibilities:

Worked in setting up LDAP, DNS, DHCP Server along with effective group and System Level policies and roaming profile features by using Samba and NFS servers.

Wrote Shell/Bash scripts for automated daily tasks, documented the changes happening in the environment and the servers, analyzed the error logs, user logs and messages.

Installed and upgraded packages on Red Hat Linux servers through YUM and RPM tools.

Responsible for Oracle database security and patching, Oracle database capacity analysis and planning.

Installing Red Hat Linux using kick-start and applying security policies for hardening the server based on the company policies.

Managed users, groups and permissions, configured LDAP and given SUDO Access in test and development servers and allowed password less logins for authorized users on servers.

Installed, configured, performance tuning, security, backup, recovery and upgrade/patches of Linux and UNIX servers using Crontab.

Installing and configuring SSH (Secure Shell) encryption to access securely on Ubuntu and Red hat Linux.

Setting up user and group login ID's, printing parameters, network configuration, password, resolving permissions and access related issues via ACL.

Administered and supported application servers, responsibilities included troubleshooting and monitoring servers using Nagios.

Hands-on experience in server builds, migrations such as OS migrations, Application migrations, and Storage migrations.

Involved in Installing, configuring and maintaining application Servers like WebSphere and Web servers like Web Logic, Apache, HTTP and Tomcat on UNIX and Linux.

Involved in developing dynamic web-based user interfaces using HTML and JavaScript.

Environment: Shell, Bash, JavaScript, Firewall, Apache, Tomcat, LDAP, NFS, SAMBA, SSH, DHCP, DNS, Kick Start server, TCP/IP, WebSphere, Web Logic, Nagios.

Client: Extra marks Education Pvt. Ltd., Hyderabad, India Aug 2012 – Sep 2013

Role: Linux Administrator

Responsibilities:

Created and maintained user accounts in Redhat Enterprise Linux (RHEL)and other operating systems

Troubleshooting and maintaining of TCP/IP, Apache HTTP/HTTPS, SMTP and DNS applications.

Migrated different projects from Perforce to SVN

Performing NIC bonding on Linux Systems for redundancy.

Diagnosed and resolved problems associated with DNS, DHCP, VPN, NFS, and Apache.

Created Bash/shell scripts to monitor system resources and system maintenance.

Create and Update Documentation for current Patching process. Coordinate with Lines of Business to schedule patching. Create Change request for Patching in Production environment.

Installed, tested and deployed monitoring solutions with Splunk services.

Responsible for the basic administration tasks related to LDAP and WebSphere Portal.

Installed and configured servers using Redhat Linux Kickstart method.

Created Linux Virtual Machines using VMware Virtual Center, creating VM Templates, and troubleshooting all Virtualization related issues.

Expertise in remote access and application virtualization technologies such as XEN, VMware, ESX, ESXi, etc on Linux.

Coordinating with 24 x 7 on-call support personnel in debugging.

Environment: RHEL, Windows, Shell Script, VMware servers, XEN, ESX, ESXi, WebSphere, Perforce, Splunk Enterprise Server 5.x, SVN, Windows 2003 server, Kick Start, Solaris

VENKATESH KODICHINTALA

(DevOps Engineer)

LinkedIn: linkedin.com/in/venkatesh-k-557444236

Email:adxzs9@r.postjobfree.com Phone: 956-***-****



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