SUMMARY

• Around 9 years of IT industry experience in Setting - up & Managing Mission- Critical IT Services Setup, IT Operations, DevOps, Build and Release Engineering with expertise in AWS, Azure Cloud and complete understanding of Software Development and infrastructure automation.
• 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.
• Experience in AWS cloud administration provisioning and managing services like EC2, S3, Glacier, Load Balancers, VPC, AMI, SNS, SWF, RDS, IAM, ROUTE53, ASG, CloudFront, CloudWatch, CloudTrail, CloudFormation and SG
• Experience in provision of automation tools like Puppet, Terraform and Ansible, in addition to deployment tools like GIT and Bitbucket.
• Experience in using CloudFormation and Terraform for deploying Cloud Infrastructure.
• Experience in Container management using Docker by writing Docker files and set up the automated build on Docker and installing and configuring Kubernetes.
• Extensive experience with containerization and related technologies like Docker, Kubernetes and OpenShift, from creating initial Development Pipelines through to Production.
• Created CI/CD Pipelines on Azure DevOps environments by providing their dependencies and tasks.
• Building and deploying code in different environments like DEV, UAT, Pre-Prod and Prod using Gitlab CI/CD.
• Implemented a CI/CD pipeline involving GitLab, Jenkins, Chef, and Selenium to complete the automation from commit to Deployment.
• Extensive experience using MAVEN and ANT as a Build Tool for the building of deployable artifacts (war & jar) from source code. installed and administered various tools like Jenkins, Gitlab, Chef, and executed maintenance tasks such as creating users and groups.
• Experience in architecting the infrastructure on Google cloud platform using GCP services and automated GCP infrastructure using GCP.
• Extensively worked on Jenkins for continuous integration and for End-to-End automation for all build and deployments and for creating CI pipelines and later integrating Jenkins with other tools and created jobs that triggered when an artifact is pushed for deployments in DEV, QA and PROD environments.
• Expert in planning and managing virtual secure environment consisting of storage, network security, backup, and Disaster Recovery DR.
• Experience in setting up and maintaining entire CI/CD pipeline using tools like Jenkins, Bamboo etc.
• Experience in Windows/ Linux Administration (Installation, Configuration and Upgrades of Linux (RedHat, Centos, Ubuntu etc.
• Extensible experience in setting up Baseline, Branching, Merging, Develop and manage Pre-and Post-commit hook scripts; provide support for parallel development using version control tools for various global and distributed teams.
• Experience in Azure infrastructure management (Azure Storage, Azure AD and Office365).
• Strong experience on DevOps essential tools like VSTS, Jenkins, Ant, Maven and migrated VMWARE VMs to Azure and Managed Services like VM, VPN, Vet, UDR, NSG.
• Extensively worked on Jenkins for continuous integration and for End-to-End automation for all build and deployments
• Administered and Implemented CI tools Hudson and JENKINS for automated builds.
• Architected solutions and deep expertise on AWS Cloud and Azure.
• Building automation tools and components to aid in installation and provisioning of cloud-based applications in AWS, Azure.
• Developed scripts for build, deployment, maintenance, and related tasks using JENKINS, DOCKER, MAVEN and Python
• Well versed with automation tools like Puppet and Ansible
• Have good knowledge of implementation with installation and configuration of Kubernetes, clustering them and managed local deployments in Kubernetes and providing consistent environment using Kubernetes for deployment scaling and load balancing to the application from development through production.
• Experience in administering and supporting the CM tools including Subversion and GIT on UNIX environments
• Excelled on creating AMI that utilizes ELB (Elastic Load Balancer) and Auto Scaling. that Auto Scaling fired up new resources those will by default bootstrapped with the Ansible Server.
• Good experience in writing shell scripts (Bash), Ruby, Groovy and Python for automating tasks. Experience in HA Proxy server
• Experience on working with various OS like Linux (Red hat, Ubuntu, CentOS), Linux, Windows.
• Experience in Installing, Upgrading, Patching, Configuration, maintenance, monitoring and Performance tuning on UNIX and Linux systems.
• Worked with development engineers to ensure automated test efforts are tightly integrated with the build system and in fixing the error while doing the deployment and building. Experience in using bug tracking systems like JIRA and Rally.
• Excellent problem solving and analytical skills and capable of handling multiple tasks efficiently.
• Configured and administered monitoring tools like Nagios, Splunk and AppDynamics
• Understanding of SDLC Methodologies such as Agile, Scrum, Waterfall, and others
• Used AWS Lambda as Microservice and API gateways to achieve scalability.
• Experience in code line GIT pushes (releases) to production and customer servers and developed and improved GIT push scripts.
• Performed Continuous Delivery in a Microservice infrastructure with Amazon cloud, Docker, and Kubernetes.
• Involved in configuring Puppet master servers and installing Puppet client software on Linux servers.
• Experience in branching, tagging, and maintaining version across the environment using SCM tools like Subversion, GIT.
• Extensive working knowledge on automation for deployment/configuration of different Application servers like Web Sphere, WebLogic, JBoss. Webservers like and Apache, Tomcat and Web Containers like Nginx etc.
• Ability in development and execution of XML, Shell, Python and Bash for merging, branching, and automating the processes across the environments.

TECHNICAL SKILLS

DevOps Tools: Bamboo, Jenkins, Imperva Incapsula, CI/CD, HA Proxy, AEM (Adobe Experience Manager), Slack, PagerDuty, Terraform, Docker, Kubernetes, Artifactory.

Cloud Platforms: AWS, Azure, GCP (Google Cloud Platform) Azure (IAAS) VMs, ASG, VPN, Azure AD, ASR, Networking, Load balancer, Storage, Network Security group, Azure SQL, Auto Scaling, Recovery services, Backup, Azure Active Directory

Operating systems: RedHat, Ubuntu, Unix/Linux, CentOS, Windows, MAC Version.

Configuration Tools: Puppet, Ansible, Chef.

Database: MySQL, Oracle, PostgreSQL, Cassandra, MongoDB, SQL Server.

Bug Tracking Tools: JIRA, Rally, Bugzilla.

Languages: XML, HTML, Shell Scripting, Python, Bash.

Build Tools: Maven, Ant, Gradle.

Control tools: Bitbucket, GIT, SVN, GITLAB, GitHub.

Methodologies: Agile, Waterfall. SDLC

PROFESSIONAL EXPERIENCE

Cloud Infrastructure Engineer

Confidential, Milwaukee, WI

Responsibilities:

• Configured, monitored, and automated Amazon Web Services as well as involved in deploying the content cloud platform on Amazon Web Services using EC2, S3 and EBS.
• Wrote Splunk Queries, Expertise in searching, monitoring, analyzing and visualizing Splunk logs.
• Developing Jenkins continuous integration-delivery (CD/CI) pipelines to automate microservice and blockchain services builds, integration, and delivery.
• Created secure Kubernetes Operations (kops) clusters for user web-mobile application microservice deployment, orchestration, and interaction.
• Implemented Atlassian Bitbucket and Confluence Data Center using a four high availability cluster topology through fully scripted procedures (infrastructure as code)
• Designed and implemented Central repository (Cloud: AWS S3) to consume Assets for entire applications.
• Developed and designed CI/CD pipelines in Jenkins, bitbucket to deploy AWS infrastructure for web applications.
• Architected and developed fault-tolerant, multi region, high availability AWS cloud infrastructure with EBS, EC2 snapshot, and RDS snapshot backups.
• Responsible for carrying out the workloads described in the Aurora DSL.
• Design and developed API policies in Apigee a Microsoft Azure hybrid cloud migration project.
• Designed/Automated cloud deployment using CloudFormation template and YAML files to reusable modules for easier infrastructure creation/deployment.
• Installed and configured new Sonicwall NSA routers/firewall, installed and configured Arista devices, helped run fiber lines to devices.
• Modify PHP code and MySQL database structure as per client’s specifications.
• Used Chef and Ansible for deployment automation, Jenkins and Rundeck for running builds and deployments, and Python, PHP & Ruby scripts for advanced automation, integration - and management.
• Creating PHP scripts for transferring data from MongoDB to MySQL with changing schema.
• Worked with Azure Shared Image Gallery with Hashi Corp Packer and cloud-init scripts for VM builds and Puppet for configuration management.
• Troubleshooting and monitoring API proxies running on Apigee using Trace tool evaluating and advising on virtualization and containerization solutions
• Executed migration plan to migrate On-Premises Services to Azure Cloud services (IaaS and PaaS).
• Configured the resources like virtual machines, virtual networks, Nsg, Load balancer, blob storage, backs ups Configuring the service principal, key-vault and enabling the backup for the vm's
• Creating/modifying host-based firewall rules using firewall.
• Developed Python and Airflow automation scripts for batch data processing, ETL, and data warehouse ingestion using AWS Lambda Python functions, S3, and Elastic Kubernetes Service (EKS)
• Containerized all the Ticketing related applications - Spring Boot Java and Node.js applications using Docker.
• Used Aurora observer to provide browser-based access to the status of individual tasks executing on worker machines.
• Worked on GKE Topology Diagram including masters, slave, RBAC, helm, kubectl, ingress controllers GKE Diagram including masters, slave, RBAC, helm, kubectl, ingress controllers.
• Deploying Application and Virtual Machines through Azure VSTS and creating CI-CD pipeline for the same.
• Creating Azure DevOps dashboards in Azure DevOps portal and managing end to end status for different application and infrastructure.
• Designing and implementing cloud solutions which are secure, scalable, resilient, monitored, auditable and cost optimized.
• Designed, develop and test Amazon VPC (Virtual private cloud), Subnets, Network security, Security groups, Network Access Control Lists (NACLs), Internet Gateways etc. to deploy and maintain Client IT Infrastructure.
• Created AWS Lambda functions for handling real time data streams and processes to RDS and Aurora Database with KMS for encryption of keys and data in transit.
• Automating environment build and provisioning using virtualization, containerization, and orchestration tools with Docker, VM Ware, AWS, Vagrant, Kubernetes and OpenShift
• Using AWS Lambda, running scripts/code snippets in response to events occurring in AWS Cloud and maintaining it.
• Created Snapshots and Amazon Machine Images (AMI's) of EC2 Instance for snapshots and creating clone's instances.
• Implemented CI/CD pipeline with Jenkins, GitHub, JFrog.
• Configured and deployed Azure Automation Scripts for a multitude of applications utilizing the Azure stack (Including Compute, Web & Mobile, Blobs, ADF, Resource Groups, HDInsight Clusters, Azure SQL, Cloud Services, and ARM), Services and Utilities focusing on automation.
• Deployed Elastic Kubernetes Service (EKS) and Postgres Relational Service Database (RDS) along with Elastic File System (EFS) for Multi-Tenant Customer Infrastructure hosting PHP and Python Applications through CloudFormation and Jenkins CI/CD.
• Built and deployed EKS Clusters in conjunction with AWS Lambda functions, S3 and Redshift for airflow and spark ETL and data, machine learning applications jobs.
• Implemented Docker container creation process for each GitHub branch gets started on Jenkins as Continuous Integration (CI) server.
• Experienced in monitoring servers using Nagios, Splunk, CloudWatch and PagerDuty for incident management platform.
• Installed and configured (Rewrite and Redirect rules) HA Proxy servers, Apache, Nginx servers and Imperva Incapsula layer and good exposure and experienced on Networking, Load Balancing and DNS management.
• Involved in Setup and Configuration of Ansible. Installed and configured of an application that included the installation and configuration using Ansible. Wrote playbooks for Ansible and deploying applications using Ansible.
• Created Terraform scripts for EC2 instances, Elastic Load balancers and S3 buckets.
• Used Mesos master for tracking worker machines and performing accounting of their resources. The scheduler interfaces with the master to control the cluster.
• Managed different infrastructure resources, like physical machines, VMs and even Docker containers using Terraform It supports different Cloud service providers like AWS.
• Developed microservice on boarding tools leveraging Python and Jenkins allowing for easy creation and maintenance of build jobs and Kubernetes deploy and services.
• Building/Maintaining Docker container clusters managed by Kubernetes Linux, Bash, GIT, Docker. Utilized Kubernetes and Docker for the runtime environment of the CI/CD system to build, test deploy.
• Created and troubleshooted Ansible scripts and Kubernetes and YAML files to deploy CI/CD applications automatically and Idempotently to reduce time costs.
• Automated deployment of application using deployment tool (Ansible). Work with product owners to understand desired application capabilities and testing scenarios.
• Build AWS infrastructure various resources IAM, VPC, Security Group, Auto Scaling, Cloud Watch, RDS, NACL, NAT, Firewall, Route 53, and Cloud Formation JSON Templates.
• Configured Splunk/Nagios for log analytics, full text search, application monitoring and CloudWatch.
• Experience with Azure API Management as a turnkey solution for publishing APIs to external and internal customers.

Environment: AWS, Azure, Ansible, Puppet, Linux, Bitbucket, Python, shell, Splunk, Docker, Kubernetes, Microservices, Active Directory, Maven, Jenkins, Agile, Apache, Nginx, Imperva Incapsula, Tomcat, Git, JFROG Artifactory, JIRA, Rally, Pier Ticket, ServiceNow, Docker, AEM, HA Proxy Server, CI/CD, SonarQube

DevOps AWS Engineer

Confidential, Chicago, IL

Responsibilities:

• Migration of application monitoring for 2000 servers from NewRelic to AppDynamics allowing real time application monitoring to the Java Artifact level.
• Worked on a POC to deploy the API components on GKE cluster on GCP for flexibility.
• Worked extensively with AWS services like EC2, S3, VPC, ELB, Auto Scaling Groups, Route 53, IAM, CloudTrail, CloudWatch, CloudFormation, CloudFront, SNS, and RDS.
• Created AWS Cloud Formation templates to create custom sized VPC, subnets, NAT to ensure successful deployment of Web applications and database templates.
• Maintaining Subversion (SVN) and GIT repositories, Proposed and implemented branching strategy suitable for agile/scrum development for automating builds with Jenkins.
• Installed and implemented Splunk SDK with python for automated Splunk administration.
• Optimized Splunk for peak performance by splitting Splunk indexing and search activities across different instances.
• Worked with Splunk app for Enterprise Security to identify and address emerging security threats using continuous monitoring, alerting and analytics.
• Configured AWS Cognito on ALB to restrict environment for Specific users.
• Automated Regular AWS Stacks like snapshots creation using Python scripts.
• Created Python scripts to totally automate AWS services, which includes web servers, ELB, CloudFront distribution, database, EC2 and database security groups, S3 bucket and application configuration, this script creates stacks, single servers, or joins web servers to stacks.
• Extensive working knowledge in Branching, Merging, Tagging, and maintaining the version across the environments using SCM tools like GIT and Subversion (SVN) on Linux platforms.
• Implemented and designed AWS virtual servers by Ansible roles to ensure deployment of web applications.
• Used the AWS-CLI to suspend an AWS Lambda function processing an amazon kinesis stream, then to resume it again.
• Used Ansible to Setup/teardown of ELK stack (Elasticsearch, Logstash, Kibana) and troubleshoot the build issues with ELK and worked towards the solution.
• Created and configured the continuous delivery pipelines for deploying microservices and lambda functions using Jenkins CI server through groovy scripts.
• Used Gradle to build rpms from source code checked out from GIT repository, with Jenkins being the Continuous Integration Server.
• Responsible for User Management, Administration, Group Management, and new repository setup in Bitbucket
• Implemented CloudFront to deliver content from AWS edge locations to end users.
• Managed a team of direct reports in US and Offshore in India delegating tasks and providing technical assistance as needed.
• Worked on integrating GIT into the continuous Integration (CI) environment along with Jenkins and slack.
• Build servers using AWS, importing volumes, launching EC2, RDS, creating security groups, auto- scaling, load balancers (ELBs) in the defined virtual private cloud.
• Understanding of secure-cloud configuration, (CloudTrail, AWS Config), cloud-security technologies (VPC, Security Groups, NACL) and cloud-permission systems (IAM).
• Managing Amazon Web Services (AWS) infrastructure with automation and configuration management tools like Ansible. Designing cloud-hosted solutions, specific AWS product suite experience. for Branching purpose and deployed using Elastic Beanstalk.
• Created Docker images using a Docker file, worked on Docker container snapshots, removing images, and managing Docker volumes.
• Implemented Docker -maven-plug-in and maven pom to build Docker images for all micro services and later used Docker file to build the Docker images from the Linux jar files.
• Experience in designing the Google Cloud Platform (GCP) architecture by following the financial regulations from security point of view.
• Created and maintained the Python deployment scripts for Web Sphere web application server.
• Responsible for design and maintenance of the GIT Repositories, views, and the access control strategies. Involved in periodic archiving and storage of the source code for disaster recovery.
• Administered Repetitive Jobs with Cron scheduling and using bash Scripts to complete the task on multiple servers. Performance tuning of Virtual Memory, CPU, system usage in Linux and HP-UX servers.
• Installed, configured, and administered Jenkins Continuous Integration tool on Linux machines along with adding/updating plugins such as SVN, GIT, Maven etc.
• Deployed and monitored scalable infrastructure on Amazon Web Services (AWS; configuration management using PUPPET.
• Automate server configuration management & deployment process using Ansible.
• Worked on container-based technologies like Docker and Kubernetes. Kubernetes is being used to orchestrate the deployment, scaling and management of Docker Containers.
• Extensive Nginx knowledge (load balancing, reverse proxying, serving web content, luau apps)
• Used firewall appliance where requirements call for layer 7 security Moeller.
• Develop cloud automation tailored to customer's needs Gather, review, and validate network requirements, VNETs, and network security groups and configure network and firewall configurations.
• Strong experience in IT security practices or DevOps such as certificates management, OS patch management and security hardening.
• Configured JFROG Artifactory for storing the application binaries using maven builds.
• Involved in writing Shell Scripts for compilation and deployment process.
• End to End deployment ownership for projects on Amazon AWS. This includes Python/Shell scripting for automation, scalability, build promotions for Dev, Staging to Production.
• Responsible for User Management, Administration, Group Management, Slave Management, new job setup in Jenkins.

Environment: s: AWS, GCP, GIT, Jenkins, Docker, Kubernetes, Nagios, Zabbix, ANT, MAVEN, MySQL-NoSQL Database, Web Logic, Python, Shell Scripts, XML, UNIX, Linux (RHEL), Ansible, Stash, Cassandra, Windows XP, Oracle, JIRA, Nexus

DevOps Build Engineer

Confidential, Memphis, TN

Responsibilities:

• Created Jenkins jobs and distributing load on Jenkins server by configuring Jenkins’s nodes, which will enable parallel builds and performed automation of CI/CD pipeline in private AWS cloud using Jenkins shared libraries and multibranch pipeline and automated the static code analysis through SonarQube in Jenkins pipeline for checking code quality.
• Provided end-user support, performed baseline build, merges, software release management, and other SCM activities.
• Experienced in use of Docker, Kubernetes, and Open Shift to manage micro services for development of continuous integration and continuous delivery.
• Implemented the automated Nagios in Ops environment for alerts and email notifications using Python script and executed them through Chef.
• Created a custom Puppet module skeleton to use same structure across all puppet modules.
• Continuous Delivery is being enabled through deployment into several environments of Test, QA, Staging and Production using Nexus and Jenkins.
• Working with JIRA to track project defects and tasks. Created Crontab scripts for scheduled jobs.
• Wrote Shell scripts and automated creating projects in Jenkins and Nexus repository as part of release process.
• Used Maven for building the Web projects including the Webservices and created automated reports for the Builds and Test results
• Expertise in Repository Management tools Artifactory, Nexus.
• Worked with different Bug tracking tools like JIRA.
• Worked on Tomcat, JBOSS, WebLogic and WebSphere Application servers for deployments.
• Implemented new JIRA workflows for the QA teams and worked on Splitting JIRA server's configuration. Managed Jira users and created workflows, issue types, fields in production.
• Developed Web applications using Ruby, Python, MongoDB, Cassandra.
• Created Docker images using a Docker file, worked on Docker container snapshots, removing images and managing Docker volumes.
• Developed Dev, Test and Prod environments of different applications on AWS by provisioning Kubernetes clusters on EC2 instances using Docker, Ansible.
• Virtualized the servers on AWS using the Docker, created the Docker files and maintained docker registry.
• Created Clusters using Kubernetes and worked on creating many pods, replication controllers, services, deployments, labels, health checks and ingress by writing YAML files.
• Integrated Jenkins with various DevOps tools such as Nexus, SonarQube, Ansible and used CI/CD system of Jenkins on Kubernetes container environment, utilizing Kubernetes and Docker for the runtime environment for the CI/CD system to build and test and deploy.
• Developed a generic job in Jenkins for continuously building all kinds of maven projects through the webhook.
• Improvised speed, efficiency, and scalability of the continuous integration environment, automating wherever possible using Python Scripts.
• Experience with Linux systems, virtualization in a large-scale environment, experience with Linux Containers and Docker.
• Accelerated the Chef infra maintenance including monitoring and security fix and on Chef Server backups.
• Build, managed, and continuously improved the build infrastructure for global software development.
• Configuration Management using Subversion (SVN) and maintaining admin related files and automating the regular tasks in Subversion and streamlining the process of access to SVN.
• Deployed and monitored scalable infrastructure on Amazon web services (AWS) & configuration management using Ansible.
• Developed writing Chef Cookbooks using the components like attributes, files, resources, and templates.
• Established continuous integration (CI) practices and standards for the UFTWF. Set up Jenkins’s server and build jobs to provide continuous automated builds based on polling the SVN source control system during the day and periodic scheduled builds overnight to support development needs using Jenkins, SVN, JUnit, and Maven.
• Worked with the team to setup the CI/CD environment in Jenkins.
• Performed role as Automation Engineer for Developing Build and deploy too.
• Formulated in connecting continuous integration with GIT version control repository and continually build as the check-inn's come from the developer.

Environment: SVN, ANT, MAVEN, Shell, Perl Scripts, Final Builder, Nexus repository, Chef, EC2, Tomcat, JBOSS, WebLogic, WebSphere, SCM, JIRA.

Linux Build Engineer

Confidential, San Francisco, CA

Responsibilities:

• Developed build and deployment scripts using ANT and MAVEN as build tools in Jenkins to move from one environment to other environments.
• Created Branches, Labels and performed Merges in Stash and SVN.
• Installation, configuration and maintenance of DNS server, Mail server, FTP, NFS, RPM and Samba servers on red hat Linux OS, using datacenter automation tools like Puppet and Ansible.
• Implemented Maven builds for creating JAR'S, WAR'S and WARS managed the artifacts generated by Maven in the Nexus repository.
• Involved in editing the existing Ant/Maven files in case of errors or changes in the project requirements.
• Maintain computer networks for networked devices in physical, virtual and cloud environments including computer hardware, systems software, applications software, and all configurations.
• Set up Linux server for LAMP (Linux, Apache, MySQL, php My Admin) implementation and readiness.
• Applying security policies hardening the server based on the company policies.
• Making Documentations and updating company wiki.
• Administered and supported Unix Servers including SUSE, IBM AIX & Red Hat Linux, and CentOS.
• Created VMs for SUSE, Solaris x86 and Red Hat Linux on VMWare ESX 3.5 and administering them with VI Client.
• Install and configure DHCP, DNS (BIND, MS), web (Apache, IIS), mail (SMTP, IMAP, POP3), and file servers on Linux servers.
• Set up Open Stack for a private cloud infrastructure.
• Experienced in Bash and Python scripting on Linux.
• Responsible for resolving network issues using network tools like ping, dig, lookup, TCP trace route and TCP dump and Managing security of servers.
• Managing services, maintaining, and monitoring event logs and troubleshooting system problems and resolve any reported issues.
• Implement and maintain apache web server with http.
• Responsible for installing, monitoring and management of VCenter/VMware environment ESXI of virtual servers.
• Troubleshoot networks by verifying open and closed ports and enabling or disabling firewalls for the application if requesting or not requesting firewall rules.
• Troubleshoot on Mac OSX, Windows XP, 7, 8.1, and 10, Ubuntu, Fedora, printers, and wireless enterprise networks. wired and wireless enterprise networks.
• Created users, manage user permissions; maintain User & File System quota on Red hat Linux.
• Monitored trouble ticket queue to attend user and system calls.
• Administered Linux servers for several functions including managing Apache/Tomcat server, mail server, MySQL databases in both development and production.
• Set up Nagios server on Linux Machine to monitor system uptime, service, and file system.
• Responsible for setting-up, managing, and rapid development of RHEL/CentOS 7/6 Linux servers using Kickstart.
• Use scripting language like BASH to create, execute and manage files.

Environment: RedHat Linux, VMware ESXi, Veritas Volume Manager, Nagios, NFS, RedHat Satellite, Service Now, Puppet.

Infrastructure Support Specialist

Confidential, Houston, Texas

Responsibilities:

• Analze 24x7 real-time monitoring of infrastructure components including servers, storage, peripherals, systems, and applications. Monitoring includes providing alerts, notifications, and escalation of service degradation.
• Manage, control, and monitor the network and infrastructure with the overall function of maintaining optimal network and system operations. Restart clusters, applications, and web servers through WAS 7AMP
• Installed Debian/red hat/Ubuntu Operating Systems Distributions across the entire Data Center.
• Perform user administration giving the necessary permissions in different environment.
• Use AutoSys Workload Automation to control the system that provides scheduling, monitoring, and reporting of AutoSys jobs.
• Carry out weekly maintenance on Production and Development servers (Reboot Servers every Saturday)
• Monitor the team ticket queue and respond to Incident and Service Request tickets within service level agreement specific timeframe.
• Provide tier 2 and tier 3 production support. Create ServiceNow tickets for Testing Anywhere, New Relic, Splunk, NetBackup, PROD WCC, QUAL WCC.
• Decommissioned the servers/service groups which: removal of DNS, take full ad-hoc backup of file systems, removal from backups, removal of patrol monitoring, removal from AD.
• Strong scripting knowledge on Perl, bash, ksh, to perform different administration tasks.
• Provisioned LUNs from SAN based on McData Switches and Hitachi Based Storage.
• Performance tuning and troubleshooting of the applications and resolution of issues arising out of the ticketing systems in Remedy.
• Transfer file across the system on the network using FTP, SCP, WinSCP and Resync commands.
• Create JIRA support request project for daily support ticket from users across different team in the organization and making sure Confluence is updated according to a lay man’s understanding in documentations.
• Installation, configuration and administration of Enterprise Linux and Unix Systems, Configure LVM-based partitions and manage mount points usage as needed Creating, cloning Linux.
• Performing capacity analysis, monitoring, and controlling disk space usage on systems Configured and Managed NFS and Samba for File Sharing, Installed access points, routers, and switches.
• Managing user accounts and SUDO permissions. Created shared drives and folders and personal drives for users.
• Provided customer service to resolve computer issues. Red Hat Package Management (RPM) and YUM package installation and maintenance Updated and documented helpdesk tickets with Remedy ticket system.
• Resolved software and hardware issues. Scheduled backup of files. Performed operating system upgrades.