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Sr. Devops/cloud Tool Monitoring Engineer Resume

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SUMMARY

  • Over 11+ years of experience specialized in System Administration working on Red Hat Linux, Solaris, SuSE Linux, AIX, CentOS, Fedora, OEL, Windows environments, and VMware vSphere.
  • Installation and up gradation of Packages and Patches configuration management, version control, service pack. & reviewing connectivity issue regarding security problem.
  • Experience in maintaining Atlassian products such as JIRA, Confluence, Fisheye, Bamboo, Crowd etc.
  • Configured SonarQube for code analysis in Jenkins.
  • Managed Amazon Web Services (AWS) infrastructure with automation and configuration management tools such as Puppet, Chef. Designing cloud - hosted solutions, specific AWS product suite experience.
  • Deploying Chef to completely provision and manage EC2 instances, volumes, DNS & S3.
  • Used CloudFormation to create infrastructure Stack using Templates and achieved automation using Chef (ruby scripts).
  • Used CloudWatch to monitor server services like logs, CPU, RAM and disk storage.
  • Automated build and deploy process for Tibco Applications using Jenkins as CI/CD tool.
  • Configured various build and deployments using Jenkins pipeline concept.
  • Performed the automation using Puppet Configuration management.
  • Implementing Continuous Delivery framework using Jenkins in Linux environment.
  • Automated ILMT Agent and SEP Agents Deployments.
  • Designed Jenkins Architecture.
  • Expertise in automating builds and deployment process using Bash, Python and Shell scripts.
  • Designed and developed distributed private cloud system solution using Kubernetes on CoreOS.
  • Puppet modules for TOMCAT and WEBSPHERE.
  • Extensive experience with Continuous Integration tools Jenkins, and good working knowledge on source repository management tools like GIT, SVN.
  • Wrote python, Groovy and shell Scripts to automate the build process and administration jobs.
  • Experience in Python programming for deployment of Java applications and implementation and automation of Shell scripts for release and build automation
  • Automated applications end to end through puppet and Automic (Orchestration Tool)
  • Experience in implementing Puppet, Chef and DevOps monitoring tools in huge infrastructure environment.
  • Tested Cookbooks with Test Kitchen even before uploading to Chef Server. Developed multiple chef cookbooks from scratch.
  • Wrote recipes to configure chef nodes excellent configuration management using Chef, also experience writing chef cookbook and recipes to automate the deployment process and to integrating chef cookbooks into Jenkins jobs for a continuous delivery framework.
  • Experience in configuring Azure web apps, Azure App services, Azure Application insights, Azure Application gateway, Azure DNS, Azure Traffic manager, App services, Analyzing Azure Networks with Azure Network Watcher, Implementing Azure Site Recovery, Azure stack, Azure Backup and Azure Automation.
  • Created Azure SQL database, performed monitoring and restoring of Azure SQL database
  • Experience in database design and development using SQL Azure, Microsoft SQL Server, Microsoft Access.
  • Configured and monitored distributed and multi-platform servers using chef. Defined Chef Server and workstation to manage and configure nodes.
  • Developed CI/CD process on Jenkins, utilizing Kubernetes and Docker for the runtime environment for the CI/CD system to build and test and deploy.
  • Designed Puppet Modules to manage configurations and automate installation process and developed automation scripting in Python using Puppet to deploy and manage Java applications across Linux servers.
  • Strong proficiency in supporting Production Cloud environments (AWS, Azure, VMware) as well as traditional managed hosted environments.
  • Experience in Installing, upgrading and configuring Red Hat Linux 5.x, 6.x and 7.x using Kickstart Servers • Experienced in implementing and maintaining an Apache Tomcat /MySQL/PHP, LDAP, LAMP web service environment.
  • Experience with Veritas Volume Manager (VxVM), Veritas File System (VxFS), Veritas Net Backup, Veritas Clustering.
  • Experienced on Red Hat Satellite Server with custom repositories to provide a stable management solution for the Linux environment.
  • Good working knowledge of AWS Data Pipeline to move data between instances stored in AWS EC2 instances and computer instances. This has been applied using Congo DB
  • Participated, documented, managed ITIL controls and supported Linux environment.
  • Expertise in scripting for automation, and monitoring using power Shell, PHP, Python & Perl scripts.
  • Hands on experience in using Build tools such as Maven, Ant, Apache Ivy, Gradle, Groovy, MSbuild, NANT
  • Experience in writing shell scripts to automate the administrative tasks and management using cron and at daemons.
  • Good understanding of OSI Model, TCP/IP protocol suite (IP, ARP, TCP, UDP, SMTP, FTP, and TFTP) • Experience in Installing Firmware Upgrades, kernel patches, systems configuration, performance tuning on Unix/Linux systems.
  • Installation and configuration of JBoss, Web Sphere Application Server on Linux and Solaris boxes.
  • Experienced in Trouble shooting and Back and Recovery.

TECHNICAL SKILLS

Operating System: Linux, Unix, Windows 8/7/Vista/XP/2003/2000/NT/98.

Programming Languages: C, C++, HTML, CSS, Javascript, Java, PHP, Webservices, Restful API.

Configuration Management: Puppet, Chef, ANSIBLE.

Source Version Control: GIT, Github, SVN, Bitbucket.

CI/CD: Jenkins, Hudson, Bamboo,Teamcity, CircleCi

Build Tools/Scripting tools: ANT, Maven, Shell Scripting, Bash, Powershell, Python, Terraform

Monitoring Tools: Nagios, ELK, Splunk, NewRelic

Databases: Oracle, MS SQL Server, MS Access. MongoDB

Ticket Tool: Jira, ServiceNow

PROFESSIONAL EXPERIENCE

Confidential

Sr. DevOps/Cloud Tool Monitoring Engineer

Responsibilities:

  • Performed Field Extractions and Transformations using the RegEx in Splunk.
  • Supported the upgradation of Splunk Enterprise server and Splunk Universal Forwarder from 6.5 to 6.6.
  • Writing Splunk Queries, Expertise in searching, monitoring, analyzing and visualizing Splunk logs.
  • Experience in alert handling, standard availability and performance report generation. Experience in root cause analysis of post-production performance related issues through Splunk tool.
  • Hands on experience in customizing Splunk dashboards, visualizations, configurations using customized Splunk queries.
  • Monitored the Splunk infrastructure for capacity planning, scalability, and optimization.
  • Design and implement Splunk Architecture (Indexer, Deployment server, Search heads, and Forwarder management).
  • Create/migrate existing Dashboards, Reports, Alerts, on daily/weekly schedule to provide the best productivity and service to the business units and other stakeholders.
  • Configure and administrator Atlassian tool suite - Bitbucket, Crowd, Jira, Confluence.
  • Responsible for administration, maintenance, upgrades and enhancements to JIRA, Confluence, Bitbucket and integrations with other tools or plugins.
  • Administration of Atlassian Add-ons and 3rd party integrations, plugins, and extensions
  • Gather requirements for business processes, and determine ways to optimize/improve JIRA/Confluence build and configure complex workflows and screen, field, security, and notification schemes
  • Automated configuration management and deployments using Ansible playbooks and Yaml for resource declaration. And creating roles and updating Playbooks to provision servers by using Ansible.
  • Written the Ansible YAML scripts to configure the remote servers.
  • Responsible for troubleshooting various indexing issues by analyzing Splunk logs such as splunkd.log, metrics.log ingested as internal index.
  • Configured Cloudbees Enterprise Jenkins instance to help utilize resources effectively and provide self-service to user base as much as possible.
  • Used Packer and Terraform to build custom AMI’s and deploy to AWS.
  • Involved in all projects that move to production and work closely with the Development teams and Quality Assurance teams to ensure cross communication and confirmed approval of all production changes. Designing and implementing fully automated server build management, monitoring and deployment by Using Technologies like Puppet.
  • Prepared, arranged and tested Splunk search strings and operational strings.
  • Created and configured management reports and dashboards and analyzed security-based events, risks and reporting instances.
  • Analyzed large datasets to identify metrics, drivers, performance gaps and opportunities for improvement.
  • Extensive experience on setting up the Splunk to monitor the customer volume and track the customer activity.
  • Installation and implementation of the Splunk App for Enterprise Security and documented best practices for the installation and performed knowledge transfer on the process.
  • Involved in interacting with business owners, developers and business analysts in improving the application.
  • Building Splunk queries by Splunk Search Processing Language (SPL) and Regular expressions.
  • Creating, maintain, support, repair, customizing System & Splunk applications, search queries and dashboards.

Environment: JIRA 7.13, Jira, Service desk, Stash 3.3, Crowd 4.x, Confluence 6.0.x, JQL, PERL, portfolio, UNIX, Linux, VMware, Infrastructure 4/5, Subversion, Bitbucket Enterprise, GITHUB Enterprise, Jenkins OS, Cloudbees Enterprise Jenkins, Git, Ant, Maven, Gradle, Jfrog Artifactory, XRAY, Puppet, Shell Scripts, Bash, Terraform, Packer, Docker, Jira, Confluence, Crowd, Newrelic, Splunk

Confidential, Portland, OR

Sr. DevOps/Infrastructure Automation Engineer

Responsibilities:

  • Worked on Azure to spin up the VM's and experience configuring the NAT, VM and storage
  • Worked on Artifactory automation using Ansible.
  • Worked on Jenkins master-slave with plugins automation using Ansible.
  • Worked on Jenkins authentication with open LDAP.
  • Experience in Artifactory installations, upgrades, authentication with LDAP.
  • Experience in Artifactory data migration
  • Automation of sensu agent and sensu-backend .
  • Our development environment included Git, Mac OS, Ruby 2.1.2, Atom, Ruby Mine as well as web interfaces for Atlassian Jira, Confluence. Public services included GitHub, CentOS, Ubuntu, Vagrant, Chef, Jenkins CI, Kubernetes, Ansible, Packer, Terraform, Cassandra DB and AWS, AZURE, OpenStack.
  • Managed Kubernetes charts using Helm. Created reproducible builds of the Kubernetes applications, managed Kubernetes manifest files and Managed releases of Helm packages.
  • Managed local deployments in Kubernetes, creating local cluster and deploying application containers.
  • Develop PowerShell scripts and ARM templates to automate the provisioning and deployment process • Container management using Docker by writing Docker files and set up the automated build on Docker HUB and installed and configured Kubernetes.
  • Building/Maintaining Docker container clusters managed by Kubernetes, Linux, Bash, GIT, Docker, on AWS. Utilized Kubernetes and Docker for the runtime environment of the CI/CD system to build, test deploy.
  • Created Hashicorp vault server and pulled secrets automatically while the time of provisioning with Terraform.
  • Posting secrets to Vault server from local with API's
  • Creating and Managing multiple projects and assigning users, roles and responsibilities in a cloud.
  • Experience in writing chef cookbooks and recipes to automate middleware installations, domain creations and deployment activities.
  • Defined site-specific and global variables using Puppet hiera (YAML and JSON) for creating re-usable modules.
  • Automated configuration management and deployments using Ansible playbooks and Yaml for resource declaration. And creating roles and updating Playbooks to provision servers by using Ansible.
  • Knowledge and expertise on all aspects of Chef concepts like chef server, workstations, Nodes, chef clients and various components like push jobs,etc.
  • Migrating the applications across environments such as DEV, QA/PERF and PROD.
  • Experience in writing Automation scripts using Shell and Python.
  • Implementing automated data processing systems using libraries like Sub process, also sending notifications to users using python SMTP library.
  • Worked with Python ORM Libraries including Django ORM and have good knowledge on Project management tools. Used Apache to deploy production site.
  • Infrastructure automation and configuration management via Ansible and Puppet.
  • Implemented multi-tier application provisioning in OpenStack cloud, integrating it with Ansible.
  • Automated AWS components like EC2 instances, Security groups, ELB, RDS, IAM through AWS Cloud Formation templates.
  • Providing 24X7 support for the application on weekly schedule.
  • Participating in Application Disaster Recovery on Cloud based techniques.
  • Experience with large-scale software implementation (high transaction volume, high-availability concepts)
  • Responsible for maintaining the Infrastructure and Upgrades to deployment of new releases.
  • Detect and respond to issues affecting availability or performance of the Infrastructure
  • Configure AWS elastic load balancer for routing the traffic to ec2/ecs resources.
  • Manage Jenkins workflows for internal teams.
  • Implementation, Support and maintenance and monitoring of cloud-based Infrastructure using various DevOps tools and technologies such as AWS, OpenStack, Linux, Git, Jenkins, Kubernetes, Ansible, Cassandra Vault and others.

Environment : JIRA, Confluence, Github, Azure, Web-logic GIT, MAVEN, ANT, Jenkins, Docker, VM Ware, Vagrant, Puppet, Ansible, Kubernetes, Jfrog Artifactory, XRAY, Mission Control, Puppet, Shell Scripts, Bash, Terraform, Packer, Sensu

Confidential

Sr. DevOps/Cloud Migration Engineer

Responsibilities:

  • Working with other team on areas related to Ansible for Cloud Automation.
  • Developed build and deploy scripts using Groovy , Python and UNIX for various products to be hosted on Application Servers.
  • Implemented rapid - provisioning and life-cycle management for Ubuntu Linux using Amazon EC2, Chef, and custom Bash scripts .
  • Worked on Auto scaling, AWS Elastic Beanstalk (app deployments), Amazon S3 (storage) and Amazon EBS (persistent disk storage).
  • Extensive experience in Amazon Web Services(IaaS) migrating like creating AWS VMs, storage accounts, VHDs, storage pools, migrating on premise servers to AWS Cloud and creating availability sets in AWS.
  • Developed automation framework for Application Deployments to the cloud environments.
  • Managed and optimize the Continuous Delivery tools like Jenkins.
  • Installed, Configured, Administer Jenkins Continuous Integration Tool.
  • Automated Continuous Build and Deploy Scripts for Hudson / Jenkins Continuous Integration tool.
  • Created local, virtual repositories in Jfrog Artifactory and integrated with Jenkins .
  • Provided UNIX scripts for deploying and building the system.
  • Worked with JIRA for issue tracking and monitoring.
  • Familiarity with Yang models to YAML syntax.
  • Demonstrated expertise in web services, virtualization, cloud concepts, REST, JSON, YAML, XML, SQL, PHP, LDAP, & object oriented methodologies.
  • Experience in installing and configuring Splunk tool 3.x and 4.x versions on Linux machines.
  • Experience writing Shell, Perl and Python scripts to automate the deployments.
  • Ability to build deployment, build scripts and automated solutions using Python, perl.
  • Experience in configuring Azure web apps, Azure App services, Azure Application insights, Azure Application gateway, Azure DNS, Azure Traffic manager, App services, Analyzing Azure Networks with Azure Network Watcher, Implementing Azure Site Recovery, Azure stack, Azure Backup and Azure Automation.
  • Experience in database design and development using SQL Azure, Microsoft SQL Server, Microsoft Access.
  • Implementing the New Azure service like Backup Vaults, Recovery service vaults, operation Management suites, Cost Estimation and efforts.
  • Worked on creating and modifying the build in VSTS in different environments.
  • Worked own various proof-of-concepts to influence the group to utilize Windows Azure. Leveraged, azure table storage, SQL Azure and service bus to move part of the infrastructure to the Azure cloud.
  • Hands-on experience in Deployment with Chef, Ansible towards AWS or Azure, and Terraform for building, updating, and versioning infrastructure efficiently, and creating custom in-house solutions with Chef or Ansible configurations.
  • Expertise in integrating Terraform with Ansible, Packer to create and Version the AWS Infrastructure, designing, automating, implementing and sustainment of Amazon machine images (AMI) across the AWS Cloud environment.
  • Managing security groups on AWS, focusing on high-availability, fault tolerance, and auto-scaling using Terraform templates
  • Experience with Azure API Management as a turnkey solution for publishing APIs to external and internal customers
  • Experienced in OpenShift platform in managing Docker Containers, Kubernetes Clusters , and Mesos and implemented a production ready, load balanced, highly available, fault tolerant Kubernetes infrastructure and created Jenkins jobs to deploy applications to Kubernetes Cluster.
  • Extensive experience in installing, configuring and administering Jenkins CI tool on Linux machines. Used Jenkins pipelines to drive all Microservices builds out to the Docker registry and then deployed to Kubernetes, Created Pods and managed using Kubernetes.
  • Experience in writing Jenkins Pipeline Groovy Scripts for Continuous Integration, Used Jenkins uploading Artifacts into Nexus Repository and deployed those artifacts into docker containers.
  • Implemented CI/CD pipeline for database using Bamboo and uDeploy . Helped developers in creating uDeploysnapshots , adding version to the snapshot during production installs.
  • Experience in using Maven and Ant as build tools for building deployable artifacts like JAR and WAR from the source code and code analysis using SonarQube.
  • Experienced in SHELL, BASH, PowerShell scripting to automate and monitor the deployment processes, Project Management and Project Release.
  • Deployed Dockers Engines in Virtualized Platforms for containerization of multiple apps.

Environment : JIRA, Confluence, Bitbucket, Azure, Web-logic GIT, MAVEN, ANT, Jenkins, Docker, VM Ware, Vagrant, Puppet, Ansible, Kubernetes, Jfrog Artifactory, XRAY, Mission Control, Puppet, Shell Scripts, Bash, Terraform, Packer.

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