SUMMARY

• Skilled professional in the IT industry for over 6+ years working in the field of Linux and advanced DevOps Technologies inside the cloud infrastructure utilizing AWS and Azure stack and managing applications using build release management.
• Designing and deploying applications using the AWS stack (Including EC2, Route53, S3, ELB, EBS, VPC, RDS, DynamoDB, SNS, SQS, IAM, KMS, Lambda, Kinesis) and focusing on high - availability, fault tolerance and auto-scaling in AWS CloudFormation, deployment services (OpsWorks and Cloud Formation) and security practices (IAM, CloudWatch, CloudTrail).
• Implemented CI/CD pipeline using Jenkins as a CI Server, installed and configured Ansible plugin for application deployment on Tomcat hosted on AWS EC2 instance, updated the AWS CFT stack with the new AMI.
• Configured and managed AWS Elastic Load Balancing (ELB) for a three-tier app stack, developed ansible playbooks to Install app servers Tomcat, JBoss, Install and configure Nginx, Httpd deploy applications, on to the AWS Infrastructure provisioned by Cloud formation templates.
• Experienced in managing servers in Microsoft Azure platform and used Ansible for managing Azure virtual machines. Converted .Net applications to Azure platform in Cloud Deployment.
• Used Jenkins pipelines to drive all Microservices builds out to the Docker registry and then deployed to Kubernetes, Created Pods and managed using Kubectl to deploy & manage applications.
• Expertise in using different log monitoring tools like Splunk, ELK (Elastic Search, LogStash, Kibana) to see logs information, monitor, security and get the health notifications from nodes. Automated the installation of ELK agent (file beat) with Ansible playbook.
• Deployed applications in AWS EC2 running on Hadoop Clusters used AWS EMR to create and manage instances. Analyzed existing Hadoop Clusters on AWS EMR and used processing tools like Pig, Hive, Sqoop and Spark with Scala.
• Expertness in Configuration Management tools like Chef and Ansible in performing application builds Defect Management, Troubleshooting, version control and environment supervision.
• Experienced in writing Ansible playbooks for provisioning Infrastructure using YML scripts and successfully developed infrastructure in DEV & Staging environments.
• Hands on Experienced on creating, maintaining and administrating repositories in GitHub, Subversion and CVS as source code management within organization.
• Installation & administration of Nexus Repository to deploy artifacts build by Maven/Gradel and managed snapshots and released versions of code in Nexus Repository.
• Creating and converting build.xml into pom.xml to build artifacts in Jenkins and deployed in Nexus repository. Worked with development team to migrate scripts from ANT to Maven.
• Acquired experience with Web/Application servers Apache Tomcat, Google App Engine, IBM Web Sphere, Oracle Application Server, Jetty, WebLogic and JBoss.
• Experienced in creating Docker containers using Docker files to run multiple microservices applications worked on Docker components like Docker Engine, Docker Hub and Docker Registry.
• Experienced in setting up Kubernetes clusters for running microservices applications in Dev & Staging environment. Managed and created pods using Kubernetes.
• Expert in Server Builds, Installs, Upgrades, Patches, Configuration and Performance Tuning in Red Hat Linux and VMware environments.
• Experienced in setting up relational databases in cloud platforms like AWS and Azure, configured Aurora, MYSQL & DynamoDB in Dev, Testing and Staging environment.
• Expertise in implementation and maintenance of Apache HTTPD, SMTP, DHCP, NFS, LDAP, SAMBA, SQUID, Postfix, Sendmail, FTP, Remote Access, Security Management Security trouble shooting skills.

TECHNICAL SKILLS

Cloud Platforms: AWS, Azure

Build Release: Jenkins, Hudson, Docker, Maven, Gradle, MS Build, Git, GitLab

Container/Orchestration: Kubernetes, Docker, Ansible, Chef

Bug tracker & Testing: JIRA, Bugzilla, Junit, HP Quality Center

Servers: JBOSS, Apache Tomcat, Oracle Web logic, IBM Web sphere, IIS Server

Scripts & Languages: Shell Script Bash Script Python, Power Shell, Terraform, CFT

Databases: Aurora, DynamoDB Server 2000/2005/2008 , Oracle 9i/10g-PL/SQL

Operating Systems: UNIX, Centos6/7, Linux4/5, Ubuntu, Windows 98/NT/XP/Vista/7/8

PROFESSIONAL EXPERIENCE

Confidential - Grand rapids, MI

Cloud Engineer

Responsibilities:

• Worked on Microsoft Azure (Public) Cloud to provide IaaS support to client. Create Virtual Machines through PowerShell Script and Azure Portal.
• Manage and Create Storage Account and Affinity Group in Azure Portal, capture an image of a Virtual Machine, attaching a Disk to a Virtual Machine and creating Virtual Network and End Points in Azure Portal. Managing multiple Azure subscriptions in automating the Azure VM provisioning, Blob storage, file blobs, Azure disks for the Azure VM.
• Automated the installation of ELK agent with Ansible playbooks and used Ansible to deploy security tools, manage Web applications, Mount points and Packages.
• Used Docker hub to pull images, run containers based on an image, configure automation using containers and implementation of several Tomcat/WebSphere instances by using the Docker engine for running many containerized application servers.
• Used Terraform scripts to automate future AWS service creations like creating subnets, security groups, route tables and tasks such as encrypting S3 buckets and EBS Volumes backing AMIs.
• Migrating current application to micro service architecture using docker container technology with Kubernetes using REST API and worked on Docker and Kubernetes on cloud to perform CI/CD on public or private cloud.
• Orchestrated Container applications using Open-Shift and Kubernetes for container operations in AWS and worked on creation of Kubernetes Pods and used Kubernetes cluster to maintain Services, Load Balancing and Network policies and provided PAAS on public and private cloud in VMware cloud and improved security using Open shift.
• Worked on Kubernetes control plane to create API objects to maintain Kubernetes clusters in their desired state and run the applications on them.
• Implemented and automated non-relational databases like MongoDB and Cassandra as well as relational databases like MySQL, PostgreSQL and clusters by creating Ansible Playbooks on AWS and AZURE Cloud and on-premises environments.
• Designing and writing code to develop and configure systems which power Splunk Multi-Tenant Architecture in the organization and creating Applications on Splunk to analyze the Big Data and have strong knowledge on Splunk components like indexer, search head, forwarder, index replication and indexer clusters and deployment server.
• Created and wrote shell scripts Bash, Ruby, Python and PowerShell for setting up baselines, branching, merging, and automation processes across the environments using version control tools like GIT, SVN on Linux and Windows platforms and wrote troubleshooting python code for Lambda service.
• Developed end to end build and deployment automation scripts using MAVEN and associating MAVEN plugins to Jenkins and building artifacts in pom.xml files, push the artifacts to nexus associating the plugins in Jenkins and deploying it in Tomcat server.
• Worked on source control management with GitHub and GitLab Enterprise level repositories including activities like configure user’s access levels, monitor logs, identifying merge conflicts and managing master repository and wrote scripts to back up and restore GitHub repositories and experience in doing checkout with Jenkins for continuous integration.
• Used Python and Flask microframework for developing RESTful API followed by creating an endpoint that returns static data (dictionaries). Created a class with few specializations and a few endpoints to insert and retrieve instances of these classes and looking on how to run the API on a Docker container.

Confidential - Houston, TX

Cloud Engineer

Responsibilities:

• Hands-on experience in infrastructure development and operations involving AWS ( CloudFormation, CloudTrail, CloudWatch, CodeBuild, CodeCommit, CodeDeploy, CodePipeline, EC2, EBS, Elastic Beanstalk, IAM, Security Groups, OpsWorks, Route 53, S3, CloudFront, Glacier, SQS, SNS, VPCs, DynamoDB, Elastic Cache, Lambda, API Gateway, AWS Import/Export, CLI Scripting ).
• Deployed the artifacts to Tomcat Web Server and Involved in development of AWS POC . Configured Ansible to manage AWS Environments and automated the build process for core AMIs used by all application deployments including Auto scaling , and Cloud Formation Templates.
• Deployed and managing Web and application servers utilizing both traditional Python Scripts and with Ansible Platform configuration system.
• Setting up the build and deployment automation for Terraform scripts using Jenkins and provisioning highly available EC2 Instances using Terraform and Ansible Playbooks.
• Worked on provision of the EMR clusters, resolved issues with Master and worker Nodes . Developed Python scripts using boto3 SDK to validate the EMR cluster environment and automated the deployment of the Spark applications on to the master node.
• Used Azure ARM Templets to provision infrastructure in On Prem & cloud environment. Customized Exiting Json templates and repeatedly deployed applications in Web and Application Servers.
• Managed Azure IAAS , Provisioning VM's , Virtual Hard disks , Virtual Networks , Deploying Web Apps and Creating Web-Jobs, Azure Windows server 2008/2012/R2 , Microsoft SQL Server , Microsoft Visual Studio and Windows PowerShell.
• Used Kanban Boards and agile to Track work progress in Azure DevOps . Integrated Webhooks in Azure DevOps/VSTS Continuously monitored code by Integrating SonarQube for Statistical Analysis .
• Building complex Automation flows using Ansible Galaxy by creating requirements in .yaml file and modifying existing Docker file and Ansible Play Book Bundle . Provisioned services in OpenShift platform.
• Used Ansible Libraries for modules through which provisioned complete cloud and on prem infrastructure. Used same Ansible playbooks for application deployment in Development & testing .
• Orchestrated and Migrated CI/CD processes using Cloud Formation and Terraform Templates and Containerized the infrastructure using Docker and Kubernetes deployed using Kops .
• Used Splunk to Manage logs and tracking bugs in Dev, QA and staging environment. Successfully created Splunk dashboards and Extensive experience in creating Splunk UI experience and resolved search queries.
• Experienced in Troubleshooting . Splunk search, quotas, monitor Inputs, WMI Issues , Splunk crash logs and Alert Scripts. Converted complex logs into visual graphs and reports which easily simplified troubleshooting.
• Written Cloud Formation Templates (CFT) in JSON and used YAML files to declare and call parameters to build t he AWS services with the paradigm of Infrastructure as a Code .
• Successfully created CI/CD Pipeline for cloud-based Java three -tire applications which were running on AWS and Azure. And automated those pipelines using Jenkins, Maven/Gradle, GIT & Nexus.
• Launched Kubernetes to provide a platform for automating deployment, scaling and operations of application containers across clusters of hosts.
• Experience in Virtualization technologies like VMWare , Vagrant and worked with containerizing applications like Docker and Kubernetes.

Confidential - Kansas City, KS

DevOps Engineer

Responsibilities:

• Managed Amazon Web Services like EC2, S3 bucket, RDS, EBS, ELB, CFT, Auto-Scaling, AMI, IAM through AWS CLI and API Integration with Ansible Code.
• Automated AWS Cloud Deployments using Ansible, Python (boto & fabric) and AWS Cloud Formation Templates in Development & Testing Environment. Creating Alarms and Notifications for EC2 Instances , CPU Utilization , Disk Usage using AWS CloudWatch and SNS.
• Complete ownership to Build entire product using CI/CD. Ability debug and fix build issues across numerous Linux and Unix platform with hands on experience of Amazon AWS cloud.
• Maintained branches/forks in GITHUB version control for the changes made in playbooks as release and used Git-Hub and resolved conflicts while migration from Sub Version to GITHUB merge issues, Cherry-Pick , Code Promotions in GITHUB .
• Designed and distributed private cloud system solution using Kubernetes on CoreOS. Automated various infrastructure activities like Continuous Deployment, Application Server setup, Stack monitoring using Ansible playbooks.
• Implemented various Docker components like Docker Engine , Hub , Machine , Compose and Docker Registry. Developed RESTful API for Cloud Management solutions based on Kubernetes platform, using Java .
• Reduced Build Deployment times by designing and implementing Docker workflow and running Docker Containers in a Production Environment.
• Used Maven Dependency Management System to deploy Snapshots and release artifacts to Nexus and share artifacts across projects in organization.
• Provisioned Infrastructure from scratch using Terraform in Cloud & on-prem Environment. Updated servers in development when there are any new updates smoothly.
• B uild artifacts ( WAR's and EAR's ) are deployed into a WebLogic Application Server by integrating the WLST scripts into bash.
• Wrote Python scripts to perform deploys in Tomcat Web server and WebLogic Application Servers in Development , Testing and Staging Environment.
• Implemented Jenkins as a full cycle Continuous Delivery tool involving package Creation, Distribution and Deployment onto Tomcat Application Servers via Python Scripts and embedded those into Jenkins jobs.
• Involved in deploying Splunk across the UNIX and Windows Environment . Also familiar with DevOps deployment tools like Chef and Ansible. Managing Monitoring solution using Nagios Environment and Updating monitoring parameter in Nagios with active and passive check.