SUMMARY

• IT Professional with 8+ years of experience with Cloud platforms like Amazon Web Services (AWS), Google Cloud Platform (GCP), Microsoft Azure and on DevOps life cycle such as Linux System Administration, Build and Release Management, Continuous Integration, Continuous Deployment, Configuration Management and Containerization.
• Proficient with the principles and best practices of software Development life cycle (SDLC) including requirement analysis, design specification, coding, and testing of applications with industry standard methodologies suchas Agile,Scrum, Kanban, and Waterfall on server - side deployments and middleware layers.
• In depth experience onSaaS,PaaS, andIaaSconcepts for cloud implementation, Storage, Web Apps, VPN Gateway, Container Service and Monitor usingAWS, Azure,Google Cloud Platform.
• Expertise in AWS cloud administrations such as EC2 instances, S3 storage buckets, EBS volumes, Virtual Private Cloud, Elastic Load Balancer, AMI, SNS, SQS, RDS, EKS, ECR, IAM, Route 53, Glacier, Kinesis, Auto Scaling, CloudFront, CloudWatch, CloudTrail, CloudFormation, AWS Config, Elastic Beanstalk, Lambda, Security group.
• Experienced in using Identity and Access Management (IAM) policies management for organizations in AWS to define groups, create users, assign roles, and define rules for role-based access to AWS resources.
• Hands on experience in writing YAML/JSON scripts to automate Infrastructure using AWS CloudFormation as well as Terraform and Involved in planning, designing, and configuring multi-region failover with AWS Route53.
• Worked on Google Cloud Platform (GCP) services like Compute Engine, Cloud CDN, Google Container Registry, Google Kubernetes Engine, Cloud Load Balancing, Cloud Storage, Cloud SQL, Database Migration Service, Cloud SDK, Anthos.
• Worked on GCP network monitoring functions to centralize monitoring and verified network configurations, optimize network performance, increase network security, and reduce troubleshooting time and configured GCP Cloud VPN to connect peer network to VPC through an IPsec VPN Connection.
• Expertise in building batch and streaming data pipelines on pulling data from multiple sources into Google’s Big Query. These pipelines are built using Python, Kafka, Dataflow and Data Proc.
• Experience in configuring Azure web apps, Azure App services, Azure Application insights, Azure Data Factory, Application gateway, Azure DNS, Azure Traffic manager, App services, Azure Network Watcher, Azure Site Recovery, key vault, Azure Resource Manager (ARM), AKS, ACR, Azure Backup and Azure Automation.
• Handled Azure Content Delivery Network (CDN) configuration, and load balancers to manage data and experience in using Active Directory to manage users by providing single sign-on with a key vault.
• Created pipelines with related services, data sets, pipes in ADF to Extract, Transform, and load data from different sources such as Azure SQL, Blob storage, Azure SQL data warehouse, delayed write tools.
• Expertise in using Terraform to create scripts to launch cloud infrastructure and manage, implemented all infrastructure deployments by maintaining clean Terraform code using Workspaces and modules andHands on experience on Terraform for building, changing, and versioning infrastructuresafely and efficiently.
• Experience in using Docker and Kubernetes to deploy basic containers using Docker images, Docker Hub, and stored images in Docker registries, and Kubernetes to orchestrate Docker containers by creating pods and clusters.
• Expertise in creating Docker images using a docker file, worked on Docker container snapshots, removing images, managing Docker volumes and virtualized servers in Docker as per QA and Dev-environment requirements.
• Experience in implementing a high-level API to deploy lightweight containers dat perform process isolation and worked on Mesos, Marathon and Zookeeper cluster to manage custom Docker container images dat are tagged and sent to the Docker repository and processed multiple images for middleware installation and domain configuration.
• Experience in orchestration tool Kubernetes to provide a platform for automating deployments, scaling, and operations of application containers across clusters of hosts and managed container replicas on a node cluster.
• Managed Kubernetes charts using Helm. Created reproducible builds of the Kubernetes applications managed Kubernetes manifest files and managed releases of Helm packages. Created a private cloud using Kubernetes dat supports development, test and production environments using helm.
• Experience using Ansible as a configuration management tool and using YAML to develop Ansible playbooks to deploy infrastructure and deploy playbooks on target computers to reduce downtime.
• Expertise in using Ansible Tower to create inventory, job templates, and job planning, as well as experience in writing Ansible playbooks and used Ansible Vault and Tower as configuration management tools to automate repetitive tasks, deploy applications, manage changes, and automate software updates and proven features.
• Created and updated Chef Recipes and cookbooks, profiles and roles using Ruby and JSON scripting and has migrated all nodes from Ansible configuration system to chef system.
• Experience in Deploying and configuring Chef Server including Bootstrapping of Chef-Client nodes for provisioning and created roles, recipes, Cookbooks and uploaded them to Chef Server, Managed On-site OS, Applications, Services, packages using Chef as well as AWS for EC2, S3, Route53 and Elastic load Balancing (ELB) with Chef Cookbooks.
• Used Puppet as a configuration management tool and written different manifests and modules in Puppet to automate repetitive tasks, quickly deploy critical applications, and proactively manage changes.
• Expertise in all areas of Jenkins setting up CI for new branches, build automation, plugins installations and management and securing Jenkins and setting up master/slave configurations and developed custom Jenkins jobs/pipelines dat contained Bash shell scripts utilizing the AWS CLI to automate infrastructure provisioning.
• Experienced in using Jenkins as a continuous integration tool to creating new jobs, managing required plugins, configuring the jobs selecting required source code management tool, build trigger, build system, and post-build actions, scheduled automatic builds, notifying the build report.
• Expertise in designing, implementing, and building CI pipelines in Jenkins, GitHub actions, GitLab CI, Bamboo, Circle CI etc., manage projects and track multiple deployments across multiple pipeline stages and environments.
• Expertise in Jenkins integration with various tools like Maven, Git, SonarQube, Nexus, Junit as well as implementing CI/CD automation by creating complex Jenkins pipelines and troubleshooting the build issues.
• Expertise with build tools like Maven, Ant and Gradle for building deployable artifacts such as jar, war, ear files from source code and artifactory repository like Nexus, JFrog to upload and manage build artifacts.
• Experience in working with Version Control Systems/Source Code Repository tools like Subversion, GIT, CVS, Bitbucket, SVN, GitHub, Performance maintaining/troubleshooting the CM tool in UNIX and Windows environments.
• Extensive experience in monitoring logs and metrics using monitoring tools such as Splunk, Nagios, Zabbix, New Relic, Prometheus, Grafana, ELK (Elasticsearch, Logstash, and Kibana) and CloudWatch, Datadog.
• Hands-on experience with Splunk searching and Reporting Modules, knowledge Objects, Administration, add-ons, Dashboards, Clustering and Forwarder Management, Visualizations, alerts, reports.
• Hands on experience in using SonarQube for code quality inspection, Selenium and JUnit for unit testing and integrating with pipelines to run unit tests and to review the code and analyze it.
• Experienced with OpenShift application scaling, OpenShift administration, OpenShift handling Docker and Kubernetes and OpenShift Security Context Constraints (SCC), and service account.
• Experienced in troubleshooting, Updating, patching, configuring, and deploying various enterprise applications in servers such as WebLogic, WebSphere, JBoss, Nginx and Apache Tomcat.
• Expertise in building, administrating, installing, configuring, updating, tuning, security, backup/recovery, virtualizing, and troubleshooting Linux systems in various distributions such as Ubuntu, CentOS, Red Hat, and RHEL.
• Proficient in Querying RDBMS such as Oracle, MySQL, SQL Server by using SQL for data integrity and NoSQL databases such as Cassandra, Mongo DB for creating Database, Tables, Views, Stored Procedures, Indexes and Constraints, Triggers, Buffer Pools, User Roles, and functions.
• Expertise in using scripting languages such as JavaScript, Shell, Bash, Perl, JSON, Ruby, Groovy, and Python to improve builds, deployments, and automated repetitive tasks.
• Expertise with Bug tracking tools like ClearQuest, Quality center, JIRA, Remedy, Bugzilla, and HP Quality Center to track all issues related to the software development lifecycle and manage projects.

TECHNICAL SKILLS:

Cloud Platforms: Amazon Web Services (AWS), GCP, Microsoft Azure

Languages/Scripting: Python, Java, Shell, Bash, PowerShell, Perl, YAML, HTML, Groovy, Ruby, PHP

Version Control: SVN, Git, Git Hub, Bitbucket, Clear Case, VSS, CVS

Configuration Tools: Ansible, Chef, Puppet, Saltstack

Build Tools: Maven, Ant, Gradle

Monitoring Tools: Splunk, Nagios, Prometheus, Grafana, New Relic, Stackdriver, Dynatrace, TEMPThanos.

Integration Tools: Jenkins, Bamboo, U-Deploy, Gitlab CI, Azure DevOps, Anthill pro, Circle CI

Container and Management: Docker, Kubernetes, OpenShift, Docker Swarm.

Artifact management tools: Nexus, JFrog

Database/Database Tools: MySQL, Oracle, Cloud SQL, MongoDB, BigQuery, Cassandra, PostgreSQL, Redis

Reporting and Ticketing: Jira, Service Now, HPQC, Bugzilla, Red Mine, Remedy, ClearQuest

Web Services/Servers: Apache Tomcat, WebLogic, WebSphere, JBoss, WildFly, IIS and Nginx

Operating Systems: Red Hat Linux, Ubuntu, CentOS, Fedora, SUSE, Unix, Windows, MacOS

PROFESSIONAL EXPERIENCE:

Confidential, Indianapolis

Sr. Cloud DevOps Engineer

Responsibilities:

• Configured and managed various AWS IaaS offerings including EC2 instance creations using AMIs in a VPC, RDS, S3 buckets, Glacier, CloudWatch, CloudTrail, CloudFront, SQS, SNS, and Route 53.
• Designed roles and policies for new users using AWS Identity and Access Management (IAM) and utilized special Security groups, IAM roles and edited policies for Dev and Prod users to manage access to resources.
• Designed AWS CloudFormation templates to create custom VPC, set IAM policies for users, subnets, Security groups, NAT to ensure successful deployment of Web applications and assigned AWS elastic IP addresses to work around host or availability zone failures by quickly re-mapping the address to another running instance.
• Evaluated strategies to migrate Client Aging Legacy Applications to Cloud Native Platform using Strangulation and Anti-Corruption layer patterns and established Cloud migration plan for AWS.
• Implement Replatform migration strategy to migrate applications from on premise infrastructure to AWS using AWS Server Migration Service, created CloudFormation templates for provisioning of the resources.
• Created CloudWatch alerts for instances and using them in Auto Scaling launch configurations and created alarms in CloudWatch service for monitoring the server performance, CPU utilization, disk usage, maintained user accounts IAM, RDS, and Route53 services in AWS cloud.
• Managed infrastructure as code (IaaCs) using Terraform in GCP and AWS cloud platform, wrote python scripts to support new functionality in Terraform to provision the highly available infrastructure and set up the build and deployment automation for Terraform scripts using Jenkins.
• Work on various GCP services like BigQuery, GCS bucket, Cloud Function, Cloud load balancing, Cloud dataflow, Pub/Sub cloud shell, GSutil, BQ command-line utilities, Data Proc, Stack driver monitoring.
• Worked with GCP cloud IoT Core, Google Kubernetes Engine, Cloud SQL, Cloud Data store, Cloud Big data, Cloud memory store, compute engine, Cloud Data flow, Cloud Pub/Sub.
• Configured GCP firewall rules to allow or deny traffic from the VM instance according to the specified configuration and used Cloud CDN to deliver content from GCP cache locations drastically improving user experience and latency.
• Build data pipelines in airflow in GCP for ETL (Extract, Transform and Load) related jobs using different airflow operators and to load CSV files into GS from SQL server and Oracle database.
• Created Docker images using a Docker file, worked on Docker container snapshots, removing images, and managing Docker volumes and Deployed Docker containerized applications using Kubernetes in Google Cloud Platform.
• Developed Google Cloud function with Python to load bound and unbound Data from google pub/sub to BigQuery for on arrival csv files in GCS bucket and backing up the bucket using Storage Transfer Service.
• CreatedGoogle storage bucketsand maintained and utilized the policy management of these buckets andNearlinefor storage and backup onGoogle cloud. Also Configured aGoogle cloud Virtual Private Cloud (VPC)and Database Subnet Group for isolation of resources.
• Setup and tuned GKE scheduling and scaling to ensure low queuing times of Jenkins builds and Configured Jenkins to provision one-use ephemeral Jenkins slave agents on GKE.
• Worked on Docker-Compose, Docker-Machine to create Docker containers for testing applications in the QA environment and automated the deployments, scaling and management of containerized applications.
• Worked on Deployment Automation of microservices to pull image from private Docker registry and deploy to Kubernetes Cluster and used Kubernetes - an open-source platform for automating deployments and scaling of application containers across clusters of hosts thus providing a container-centric infrastructure.
• Worked on creating pods with Kubernetes and rolling updates and implemented Blue-Green and Canary Deployment methods to maintain minimum downtime to deploy process in Tomcat, Apache servers.
• Wrote the Ansible playbooks, defined automation tasks using YAML file and also to manage inventory, orchestrate software updates and verify functionality and document all infrastructures into version control.
• Installed, Configured, and managed AnsibleCentralized Server and creating the playbooks to support various middleware application servers, and involved in configuring theAnsibletower as a configuration management tool to automate repetitive tasks to quickly deploys critical applications, and proactively manages change.
• Implement functionalities of Kafka like distribution, partition, replicated commit log service for messaging systems by maintaining feeds and manage Kafka clusters on different environments.
• Set upJenkinsserver and build jobs to provide Continuous Automated builds based on polling theGitsource control system during the day and periodic scheduled builds overnight to support development needs usingJenkins, Git.
• Customized CI/CD processes with triggers and add post-build actions and implemented multi-stage pipelines using Groovy script in a Jenkins to ensure successful build of downstream dependencies.
• Designed the test scripts and analyzed the results in various levels of the application including integration, regression, functional and acceptance testing usingSelenium and integrated the plugin with Jenkins for unit testing.
• Developed build and deployment scripts using MAVEN as build tool in Jenkins to move from one environment to other environments and supported Maven multi-module builds and store artifacts in Nexus artifactory.
• Deployed artifacts into Nexus repository and develop build artifacts using Maven and defined various plugins, dependencies in Maven pom.xml and used selenium for unit test of code.
• Worked on Bitbucket and Git for managing, hosting the source code to private Git/Bitbucket Repositories, and worked with merging, Branching, Rebasing, labeling and resolved conflicts related to merging.
• Designed of core scripts to automate Splunk and alerting tasks and support Splunk on various OS platforms and deployed new Splunk instances, including clustered deployments and apps, also built Key Performance Indicators to the enterprise architecture through Splunk.
• Experienced with OpenShift application scaling, OpenShift administration, OpenShift handling Docker and Kubernetes and OpenShift Security Context Constraints (SCC), and service account.
• Design, build and manage the ELK (Elasticsearch, Logstash, Kibana) cluster for centralized logging and search functionalities for the App, troubleshoot any building issue with ELK, and work towards the solution and participate in problem resolving, change, release, and event management for ELK stack.
• Installed, monitored, and configured Applications in using WebLogic, WebSphere Application, Nginx, and Apache Tomcat Server and establish connectivity to databases and troubleshoot issues on the fly.
• Used Amazon RDS MySQL to perform basic database administration and set up DynamoDB for NoSQL data for other teams on lightweight Docker containers with elastic search and quick indexing.
• Worked on various Database frameworks such as In-Memory Redis using AWS ElastiCache, NoSQL using Datastax Cassandra-Solr, AWS CloudSearch, MongoDB based on data characteristic.
• Used Shell/Python scripts to perform Oracle RDBMS functions to bulk load data, provide. Developed Custom Scripts for build and release automation and to monitor repositories, Server storage.
• Worked on JIRA for ticketing and as well as defect tracking system and configure various workflows collaboration, tool-chain automation, customizations, and plug-ins for JIRA bug/issue tracker.

Environment: AWS, GCP, Terraform, CloudFormation, Docker, Kubernetes, Jenkins, Maven, Nexus, Nagios, Jira, BigQuery, Shell, Python, Apache, JBoss, Nginx, Tomcat, Java, Groovy, GIT, Bitbucket, Service now, Cassandra, Kafka, MySQL, RDS, DynamoDB, MongoDB, SVN etc.

Confidential

Sr. DevOps Engineer

Responsibilities:

• Implemented AWS Route53 to manage DNS zones globally & to give public DNS names to ELB's and Cloud front for Content Delivery and Implemented Route 53 in efectively coordinating the load balancing & scaling functions.
• Created custom policies using IAM (Identity Access Management) with MFA with for AWS Cloud resources and Groups and maintained IAM roles and User credentials, also wrote many Policy scripts using Json to meet security audit & compliance requirements.
• Worked on Azure Cloud Services (PaaS and IaaS), Web Apps, Logic Apps, Active Directory, Azure Monitoring, Storage, Data Factory, Key Vault, Traffic Manager, Application Insights, OMS, Service bus, Visual Studio Online (VSO), Cognitive Services and SQL Azure.
• Designed and created Azure virtual machines, Implement, and manage virtual networking within Azure and connect to on-premises environments and implemented high availability with Azure Classic and Azure Resource Manager.
• Implemented Azure cloud integrations of enterprise architecture using Active Directory, Azure Service Bus, Azure Storage, Hybrid Connection Manager, and Azure SQL server.
• Configured Azure Cloud Infrastructure to take VM level backups using the ARM templates by creating groups and users using Role Based Access Control (RBAC) and protect the VMs using Azure Backup vault.
• Involved in designing and deploying multitude applications utilizing all theAWS stack(IncludingEC2, Route53, S3, RDS, Dynamo DB, SNS, SQS, IAM) focusing on high-availability, fault tolerance, and auto-scaling.
• Involved in the use of DMS and SMS to migrate physical servers and local databases to AWS and implemented a migration project from the Oracle database to AWS RDS (Aurora) with the application using the database had minimal code changes and successfully migrated the application of the project using DMS.
• Worked on Terraform templates for provisioning virtual networks, subnets, VM Scale sets, Load balancers, and NAT rules and used terraform graph to visualize execution plan using the graph command. Configured BGP routes to enable ExpressRoute connections between on-premises data centers and Azure cloud.
• Configured and administeredJenkinspipelines for automated builds and deployments, and created deployment workflows in which includes pre-release,release,and postrelease steps.
• Integrated Jenkins with GitHub and various plugins like SonarQube for source code analysis and Maven for building the applications to .jar and .war files, pushed and maintained the built artifacts in Nexus artifactory.
• Upgraded SonarQube to support JDK and configured OWASP dependency check with PostgreSQL RDS to archive the Common Vulnerabilities Exposure for faster build times.
• Used Kubernetes to create Pods, Config Maps, and deployments into the cluster and automate the deployment, scaling and operations of application containers across clusters of hosts.
• Managed Kubernetes Manifest files and releases of Helm Packages and created reproducible builds of Kubernetes applications, Managed Kubernetes charts using Helm.
• Extensively used Docker for containerization, running, shipping, and deploying the application securely to speed up the build and release processes and automated docker image builds by creating Docker files.
• Managed, Created, and updated the Docker Containers for deploying the applications in different environments and Created Docker-compose YAML file templates to deploy images in Docker containers.
• Used Azure DevOps services such as Azure Repos, Azure Boards, and Azure Test Plans to plan work and collaborate on code development, built and deployed application using pipelines created in Azure DevOps.
• Worked on serverless services in Azure and configured HTTP triggers in Azure Functions with application insights for monitoring and performing load testing on the applications using Azure DevOps Services.
• ManagedChefNodesusingLinuxCronjobs, maintaining, and setting up theChefserverand enforced Test Driven Development (TDD) approach for writingChefCookbookusing Test-kitchen, Food Critic, Vagrant and Berkshelf.
• Deployed and configuredChef ServerandChef SoloincludingBootstrappingofChef ClientNodes for provisioned and createdRoles, Cookbooks, Recipes, andData Bagsfor Server configuration.
• Build application artifacts using Maven by configuring required profiles, plugins, and dependencies in POM.xml and pushed and maintained the builds with an open-source repository like JFrog Artifactory using settings.xml.
• Configured and managed source code using GitHub and resolved code merging conflicts in collaboration with application developers. Managed GitHub branching, tagging, and maintaining the version across the environments.
• Deployed Prometheus to monitor the Application performance and Infrastructure health and created custom dashboards to analyzing the server usage and logs with Grafana.
• Setup Datadog monitoring across different servers created system alerts and alerted application teams based on the escalation matrix, and integrated Datadog with AWS.
• Worked on shell scripts for loading data from Oracle to Cassandra, and configured performance tuning and monitoring for Cassandra Read and Write processes for fast I/O operations and low latency time.
• Wrote Python scripts for pushing data from DynamoDB to MySQL Database and Performed troubleshooting, fixed, and deployed many Python bug fixes of the two main applications dat were a main source of data for both customers and internal customer service team.
• Written bash scripts to deploy the Java packages like EAR and WAR on the WebLogic Application Server.
• Setup Bugzilla for bug and issue tracker for verifying the integrity, availability of server resources and configuring various workflows and plugins and used Service Now for addressing the tickets.

Environment: Azure, AWS, Terraform, Kubernetes, Docker, Jenkins, Ansible, Maven, Jfrog, GIT, Splunk, Python, Java, Bash scripts, SonarQube, Linux, Apache Tomcat, WebSphere, Jira etc.

Confidential

Build and Release Engineer

Responsibilities:

• Highly Involved into Data Architecture and Application Design using Cloud and Big Data solutions on AWS, Azure.
• Leading the effort for migration of Legacy-system to Microsoft Azure cloud-based solution. Re-designing the Legacy Application solutions with minimal changes to run on cloud platform.
• Built the data pipeline using Azure Service like Data Factory to load the data from Legacy SQL server to Azure Data Base using Data Factories, API Gateway Services, SSIS Packages, custom .Net and Python codes.
• Involved in projects dat move to production and work closely with theDevelopment, Quality Assurance and Management teams to ensure cross communication and confirmed approval of all production changes.
• Built end to endCI/CD Pipelines in Jenkinsto retrieve code, compile applications, perform tests and push buildartifacts to Nexus.
• Created, Designed, and developed container-based deployments using Docker images containing Middleware and Applications together and evaluated Kubernetes clusters for Docker container orchestration.
• Troubleshoot the build issue during theJenkinsbuild process and resolved system issues and inconsistencies in coordination with quality assurance and engineering teams.
• Implemented automation of Builds and Release management usingJenkins to achieve CI/CDin a project.
• CreatedPuppetautomation with multiple modules likeMySQL, HTTP collectors and Schema registry to install and configureEC2instances to implement release schedules, created Rollout Plans, tracked the Project Milestones.
• Worked on Installing, configuring, upgrading, and managedPuppet Master, Agents and Databases. Integration ofPuppetwithApacheand Passenger and experience in working withPuppet EnterpriseandPuppet Open Source.
• Experienced in authoringpom.xmlfiles, performing releases with the Maven release plugin,and managing artifacts in SonatypeNEXUSrepository.
• Solid experience in developing and deploying the applications onTomcat Apache serversand maintaining Load balancing, Highavailability,and Failover.
• Written Bash shell scripts for getting information about various Linux servers and prepared Ruby codes, programming of web applications and testing services on daily basis.
• Creating the build script using theAnt as build tool, for Java and .Net web applications.
• Worked onJIRAfor tracking and updating theJIRAtickets and per assigned and Maintained JIRA Administration/User documentation in Confluence.
• Managing permission for files and directories with chmod and managing different kind of services likeDHCP, FTP, NFS, Apache Web Server.
• Organized and Coordinated Product Releaseswork closely with product development, QA, Support across global locations to ensure successful releases.

Environment: AWS, AZURE, Subversion, Docker,Jenkins, Puppet, EC2, Apache Tomcat, Nexus,Oracle, Ant, DB2 MS SQL Server, Java, J2EE, Ruby, Shell,Windows, Linux

Confidential

Linux Administrator

Responsibilities:

• Worked as Linuxadministrator responsible for maintenance of development, quality, stage, and production servers.
• Installed DNS, FTP, VSFTPD, RPM, MySQL servers on Red Hat OS.
• Implemented and given operational support of 2000+ Linuxservers and virtualized environments (VMware) through provisioning, patching, storage management application deployment, and troubleshooting of incidents raised by various teams.
• Worked on tasks in Linux /Unix which include upgrading RPMS using YUM, kernel, HBA driver, configure SAN disks, Multipathing, and LVM file system.
• Performance tuning, troubleshooting, developed and facilitated the framework of server patching and upgrade of RHEL servers.
• Performed data backups by using cronjob in scheduling periodic backups.
• Executed Configuration Management in LinuxRHEL 4.x, RHEL 5.x and RHEL 6.x to secure command-line service on remote systems using OpenSSH utility and configured SMTP, FTP, HTTP, HTTPS, Apache, PXE boot services.
• Supported networking troubleshooting with LAN, WAN, Routers, and Gateway.
• Design, installation, configuration, and administration of Linux 4,5 and 6 servers and support of OpenShift Enterprise and non-OpenShift support.
• Worked on deployment, upgrade, and maintenance of middleware applications like Apache, MySQL, and PHP.
• Vast knowledge of Service Now, HP Service Manager (HPSM), and JIRA for Incident/Change/Request Management.
• Created a huge number of Seamless Integrations with remote servers with SSH Key generation and exchange.
• Took part in VMware ESX installation, updates, patches, and gathered the information for capacity and performance analysis to identify potential servers for virtualization.
• Used Iptables to set up, maintain, and inspect the tables of IPv4 packet filter rules in the Linuxkernel.
• Established SSH connection between servers and performed Secured Remote Login with SSH for system maintenance.

Environment: MySQL, RHEL 4.x, 5.x, 6.x, Linux /Unix, Red Hat OS, VMware, DNS, FTP, VSFTPD, RPM, LVM, SMTP, IPv4, Apache, Service Now (SNOW), HP Service Manager (HPSM) and JIRA