SUMMARY

• Around 7 years of Professional IT experience as an AWS Cloud Engineer, DevOps automation Engineer, Software Configuration Management (SCM), Build& Release management, and worked in many technical roles both in Linux and Windows environment for build/Release automation process in Web & cloud/server Environment using Java/J2EE/JEE Technology,AWS & open - source technologies.
• Excellent knowledge inAzurecompute services,AzureWeb apps,AzureData Factory & Storage,AzureMedia & Content delivery,AzureNetworking,AzureHybrid Integration, andAzureIdentity & Access Management.
• Expertise inAzureinfrastructure management (AzureWeb Roles, Worker Roles, SQLAzure,AzureStorage,AzureAD Licenses, Office365).
• Experienced in setting up Amazon EC2 instances, virtual private cloud (VPC), and security groups. Setting up databases in AWS using RDS, storage using S3 bucket and configuring instance backups to S3 bucket.
• Involved extensive work towards code compilation, packaging, building, debugging, automating, managing, tuning and deploying code across multiple environments and Linux Administration.
• Competence in designingAWSand Azure cloudmodels for Infrastructure-as-a-Service (IAAS), Platform-as-a-Service (PAAS) and Software-as-a-Service (SAAS).
• Fluent in several software lifecycle models, including Waterfall, SDLC, and Agile.
• Experienced in AWS Cloud platform and its features which includes EC2, VPC, EBS, AMI, SNS, RDS, Cloud Watch, Cloud Trail, Cloud Formation, AWS Config, Autoscaling, Cloud Front, IAM, S3, and Route53.
• Proficient in automating build and configuration process using tools like ANT, Maven, Gradle, Jenkins/Bamboo and Puppet/Ansible.
• Experience in creating notifications, alarms and alert policies for Google Compute Engine instances using Stack driver Monitoring.
• Interacted closely with application developers, database administrators, UNIX administrators, Security team for resolving issues related to applications.
• Good knowledge on Google cloud services like Glacier, Load Balancers, RDS, SNS, SWF, and IAM and hands on experience on Google cloud Services provision
• Expertise in multipleGoogleCloudServices for computing: Compute Engine and, for storage and DB:CloudStorage,CloudBigtable,CloudSQL, for monitoring: Stack driver.
• Experience in using configuration management tools like Chef, Puppet and Ansible.
• Experience in writing Chef cookbooks in all aspects of chef concepts like Chef Server, Chef Automate, Chef workstations, Chef Nodes, Chef Client and various chef components like push jobs, super market etc.
• Experienced on Ansible and Ansible Tower as Configuration management tool, to automate repetitive tasks, quickly deploys critical applications, spin-up nodes in AWS and proactively managing changes using Ansible Playbooks.
• Good knowledge over CI/CD Methodologies. Worked on Jenkins including installations, Configuration, for CI and End to End automation for all builds and deployments.
• Experienced in deploying AWS with Chef, Ansible and Terraform towards AWS, and using Terraform for building, updating, and versioning infrastructure safely and efficiently, as well as creating custom in-house solutions with Chef or Puppet configurations.
• Hands on Experience on Configuring Cloud Compute systems using OpenStack on Ubuntu, collaboration using Orchestration with Keystone, Kubernetes within OpenStack.
• Experienced in Build automation using Ant/ Maven and implementation of Continuous Integration through Jenkins. Experienced in creating jobs, pipelines in Jenkins with different Jenkins plugins to integrate with different services/tools.
• Hands on Experience using Microsoft Azure and Application Deployments using Terraform and Puppet in Azure.
• Experienced in various service models from cloud computing providers such as IaaS, PaaS, and SaaS.
• Experienced using Docker for Application Isolation, Rapid Deployment, Build management and configuration simplification. Used Docker Hub public registry/repository to download Images and build new Containers.
• Experience in creating Docker containers and Docker consoles for managing the application life cycle. Good knowledge on Docker components like Swarm manager for Docker swarm clusters, Prometheus server and Grafana for machine-centric monitoring as well as monitoring of highly dynamic service-oriented architectures.
• Familiarity Mesos and Kubernetes for orchestration and management of containers across multiple server hosts.
• Experienced using Open-source reverse proxy Web server Ngnix, cross platform Web server Apache HTTP, HAproxy and Citrix NetScaler for Web Monitoring and IP Filtering using SSL/TLS, Load Balancing, Web Acceleration, and Security.
• Experience in Bash, Python, and Ruby scripting for setting up the Baseline, Branching, Job Automation, Merging processes and administrative tasks.
• Experienced in Performance tuning of various Application Servers, such as IBM WebSphere 7/8, WebLogic (11gR1,12cR1, 12cR2), Apache Tomcat (7/8), JBoss AS 7 Oracle, and DB2.
• Extensive experience in Installing, upgrading, and configuring CentOS 5.x 6.x 7.x on X86-64, RHEL 5.x, 6.x, 7.x, Ubuntu 14.04.x (Trusty) 16.04.x (Xenial), Solaris 10, 11.2, Open SUSE 10.2 (Basilisk Lizard) 12.1 (Asparagus), HP-UX 11i V2, IBM-AIX V7.1, Debian 6.0 (Squeeze).
• Experienced in installations and configuration of various Linux services like LAMP, DHCP, NFS, send mail, Apache Web Server, Samba, SSH, HTTP and administering Active Directory, LDAP, group policies.
• Install, upgrade and manages packages via RPM and YUM package management. Extensive experience on Kickstart installations in Linux, Jumpstart installations in Solaris.
• Experience in Designing AZURE Resource Manager Template and extensive experience in designing custom build steps using PowerShell.
• Experience of working with Terraform, PowerShell scripting, Active Directory & Domain Controller and maintaining Azure Security Center, Backup and Site Recovery (Operations Management Suite (OMS)

TECHNICAL SKILLS

Operating Systems: Redhat-5/6/7, Ubuntu 14/16, CentOS 5/6/7, Sun Solaris 10/11.2, HP-UX 11i V2, IBM-AIX V7.1, Debian 6.0.

Configuration Management: Ansible, Chef, Puppet, Kickstart

Build Tools: Ant, Maven, Gradle

Cloud Environment: Amazon Web Services, Azure, Google Cloud Platform, OpenStack

CI/CD Tools: Jenkins, Bamboo

Scripting Languages: Shell, Python, Perl, YAML, RUBY, JSON, JAVA

Monitoring Tools: Nagios, Splunk, Zabbix, CloudWatch, New Relic, Elasticsearch, Logstash, Kibana

Source Code Management: Subversion, GIT, SVN, Bitbucket, and CVS

Databases: SQL Server, Oracle, MySQL

DevOps Tools: Docker, Jira, Bugzilla, Kubernetes, Terraform

Networking/Protocol: TCP/IP, NIS, NFS, DNS, DHCP, WAN, SMTP, LAN, FTP/TFTP

Web/Application Servers: Apache Tomcat, Web Logic, Oracle, Application Server, Ngnix

PROFESSIONAL EXPERIENCE

Confidential, Charlotte, NC

DevOps/Azure Engineer

Responsibilities:

• Creating and maintaining containerized micro services and configuring/maintaining private container registry on MicrosoftAzurefor Hosting Images and using Windows Active Directory.
• Expert in configuring and maintaining Amazon Web Services which include services like Amazon EC2, ELB, Auto-Scaling, S3, Route53, IAM, VPC, RDS, Dynamo DB, Cloud Watch, Elastic Cache, SNS, SQS, Cloud Formation and Direct Connect as part of Migration Process.
• Used PythonBOTO 3and Fabric for launching and deploying instances inAWS. Configured Inbound/Outbound inAWSSecurity groups according to the requirements.
• Writing Maven and Gradle scripts for application layer modules
• Worked onBlue/green deploymentstrategy by creating new applications which are identical to the existing production environment usingCloud Formationtemplates &Route53weighted record sets to redirect traffic from the old environment to the new environment viaDNS.
• Experienced in Scheduling AWS lambda functions in Python to trigger various AWS resources inAWSfrom the scratch and updated theterraformas per the organization’s requirement on a regular basis.
• Created templates forAWS infrastructureas a code usingTerraformto build staging and production environments.
• Wrote various data normalization jobs for new data ingested into Redshift
• Relevant workloads include Dashboards& Data Visualization, Big Data, Data Warehousing. Advanced & Predictive Analytics Data Platform Modernization, Database Migration.
• Excellent knowledge of S3 storage strategies such as versioning, life cycle policies, cross region replication and Glacier using command line interface (CLI) and Amazon Management Console Used CFT and Ansible to install software and automate installation.
• Orchestrated the computing, networking, and storage infrastructure of the Kubernetes cluster, utilized Kubernetes and Docker for the runtime environment of the CI/CD system to build test and deploy.
• Created 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.
• Responsible for implementing containerized based applications on Azure Kubernetes by using Azure Kubernetes service (AKS), Kubernetes Cluster, which are responsible for cluster management, Virtual Network to deploy agent nodes.
• Creating and Managing Virtual Machines in Windows Azure and setting up communication with the help of Endpoints. Configured Shared Access Signature (SAS) tokens and Storage Access Policies in Azure Cloud Infrastructure.
• Created and Troubleshooted Kubernetes YAML files to deploy applications automatically using Azure DevOps to reduce time costs. Used Kubernetes to deploy, load balance, scale and manage Docker containers.
• Design, build, secure and manage clusters/workloads running on self-managed Kubernetes (Kops), Amazon EKS (Amazon Kubernetes Service) and Amazon ECS.
• Experience Deploying Microservices in Docker Containers using the Docker Images pushed to Docker Trusted Repository built by using Docker File.
• Involved in building Docker images using Jenkins pipelines for microservice specific to the JFROG antifactory and implemented Spinnaker pipeline to deploy it to Azure Kubernetes cluster.

Confidential, Dallas, TX

Sr. Cloud/DevOps Engineer

Responsibilities:

• Created S3 buckets and managed policies for S3 buckets and utilized S3 Buckets and Glacier for storage, backup and archived in AWS and worked on setting up and maintenance of Auto-Scaling AWS stacks.
• Developed Cloud Formation script to automate the EC2 instances with JSON templates.
• Working with Jenkins to build and deploy java code from GitHub to the production servers using Continuous Integration and Continuous Delivery (CI/CD) pipeline.
• Primarily used Ruby to write GIT applications and Chef Recipes and created Chef Cookbooks for Sudo users and network configurations using Chef Server.
• Worked with Puppet and Chef which is used to manage Linux but later versions support Microsoft Windows.
• Implementation of horizontal auto-scaling use cases using OpenStack components - Heat, Ceilometer, LBaaS.
• Worked on Atlassian Tools (Bamboo, Bitbucket, JIRA, Confluence, etc.) and integrated all of them to set OAuth Impersonation and provided Server-Side support to provide access to all Applications Teams.
• Configuring and Networking of Virtual Private Cloud (VPC) Written Cloud Formation templates and deployed AWS resources using it.
• Installed and administered Docker and worked with Docker for convenient environment setup for development and testing.
• Creation and maintenance of fully automated CI/CD pipelines for code deployment using Octopus Deploy.
• Configure, monitor and automate Google cloud Services as well as involved in deploying the content cloud platform using Google compute engine, Google storage buckets.
• Installation, Configuration and Management of RDBMS and NoSQL tools such as Arango DB.
• Created Google storage buckets and maintained and utilized the policy management of these buckets and Glacier for storage and backup on Google cloud.
• Configured a Google cloud Virtual Private Cloud (VPC) and Database Subnet Group for isolation of resources.
• Used Docker container clusters to clone the production servers and implementing Kubernetes orchestration for clones production servers.
• Implemented a production ready, load balanced, highly available, fault tolerant, auto scaling, Kubernetes AWS infrastructure and micro service container orchestration.
• Developed Docker images to support Development and Testing Teams and their pipelines and distributed Jenkins, JMeter images, and Elastic search, Logstash, and Kibana (ELK).
• Configured Kubernetes Replication controllers to allow multiple pods such as Jenkins master server in multiple minions.
• Established Chef Best practices approaches to system deployment with tools with vagrant and managing Chef Cookbook as a unit of software deployment and independently version controlled.
• Provisioned the highly available EC2 instances using Terraform and Cloud Formation templates, wrote new plugins to support new functionality in Terraform and involved in using Terraform migrate legacy and monolithic systems to Amazon Web Services.
• Management of deviations regarding Continuous Integration, identifying improvements to enhance CI/CD.
• Worked on integrating application logs with Splunk and wrote several custom Splunk queries for monitoring and alerting.
• Designed and worked with team to implement ELK (Elastic search, Log stash and Kibana) Stack on AWS.
• Integrate automated build with Deployment Pipeline to pick up the Build from Jenkins repository and deployed in target environments (Integration, QA, and Production).
• Extensive worked on MAVEN as build tool for the building of deployable artifacts (jar, war & ear) from source code.
• Implemented to automate the infrastructure used azure CLI and involved in accessing subscription using PowerShell and to monitor and troubleshoot azure resources I have used azure app insights.
• Implemented Continuous Delivery pipeline with GIT Hub, Jenkins, Docker and AWS AMI's (Linux), whenever a new GIT Hub branch gets created Jenkins attempts to build a new Docker container from it, the Docker container has the AMI baked in and leverages Linux containers.
• Worked with Puppet and Chef which is used to manage Linux but later versions support Microsoft Windows.
• Installed configured Managed Monitoring tools, such as Nagios for Resource Monitoring/Network Monitoring/log Trace Monitoring.
• The Docker container leverages Linux containers and has the AMI baked in. Converted our staging and Production environment from a handful AMI's to a single bare metal host running Docker.
• Implemented Blue/Green Deployments with AWS Code Deploy where new version of application is tested in deployment other than in-place deployment and then traffic is diverted into the latest deployment.
• Designed, wrote and maintained systems (Python) for administering GIT, by using Jenkins as a full cycle continuous delivery tool involving package creation, distribution and deployment onto tomcat application servers via shell scripts embedded into Jenkins jobs.
• Involved in testing and debugging Microsoft Azure Cloud Services in different ways, like the Azure Portal, PowerShell, Azure CLI, and REST API's.
• Involved in setting up JIRA as defect tracking system and configured various workflows, customizations and plugins for the JIRA bug/issue tracker.
• Responsible for upgrades to Red Hat Linux with Software packages, patches and maintained them in accordance with established PCI policies, procedures and service level agreements.
• Working on variety of Unix platforms RHEL 5.x/6.x/7, Solaris 10/11 which includes installation, configuring and maintenance of applications for prod/stage/dev environments.
• Configuration and administration of LDAP, NFS in Linux and implemented Samba for sharing of resources between Linux environments.
• Created setup of full networking services and protocols including NIS/NFS, DNS, SSH, DHCP, TCP/IP to insure optimal networking application.
• Deployments and involved in working for a high scalability and high availability environment running Linux and Windows.

Confidential, Dallas, TX

DevOps Engineer

Responsibilities:

• Worked as DevOps engineer/Build and release engineer in field of release automation for java application to achieve continuous integration (CI) and continuous delivery (CD).
• Configuration of various plug-ins for Jenkins for automation of the workflow.
• Configuration and maintenance of Jenkins to implement the CI process and integrated the tool with Maven to schedule the builds.
• Implementation of Ansible to deploy the builds for Dev, QA, and production. Installation of Ansible Tower on premise and on AWS nodes and automated the infrastructure using Ansible playbooks.
• Responsible for the Continuous Delivery pipeline given to all application teams as they on-board to Jenkins as a part of migration team.
• Written Chef Cookbooks for various DB configurations to modularize and optimize product configuration, converting production support scripts to Chef Recipes and AWS server provisioning using Chef Recipes.
• Involved installing and managing different automation and monitoring tools on Red Hat Linux like Nagios and Chef.
• Managed, configured servers to automate tasks and deploy apps on Virtual Machines, Bare-Metal and Cloud Instances using Foreman along with Chef.
• Maintenance and development of infrastructure using Ansible, Jenkins, and multiple AWS tools.
• Worked with Nexus repository manager to proxy, collect, and manage the dependencies on the collection of JARs.
• Excellent hands-on experience in installation, configuration and troubleshooting the issues and performance tuning of WebLogic, Apache and Tomcat.
• Deployed JAVA/J2EE applications through Tomcat Application servers.
• Managed Instances on the Amazon Web Services (AWS) platform using Ansible Configuration management and Terraform, CFT (Cloud Formation Templates).
• Experienced in Setting up Chef Server/Workstation and Bootstrapping Nodes. Wrote Wrapper cookbooks, recipes and utilized community cookbooks as well.
• Migrated the VMWARE VMs to AWS using AWS CLI by uploading data to S3 and EC2-import-image and created a disaster recovery repo for VM’s in AWS using EBS. Managed Services like EC2, S3 Bucket, Route, ELB, EBS.
• Participated in the building of tools and processes to support the infrastructure performance and capacity.
• Experienced in deployment of applications on Application Servers such as Tomcat, JBoss. Installed and configured them as needed.
• Implemented Python scripts for active monitoring of applications and to raise automated tickets. Monitoring system performances using Nagios and managing network issues.
• Administrated DHCP, DNS, and NFS services in Linux. Created and maintained user's accounts, profiles, security, rights disk space and process monitoring.
• Provided technical support by troubleshooting Day-to-Day issues with various Servers on different platforms.

Confidential, Dallas, TX

Build & Release Engineer

Responsibilities:

• Implemented a Continuous Integration and Continuous Delivery (CI/CD) pipeline with Jenkins and GitHub.
• Configured and maintained Jenkins to implement the CI process and integrated the tool with ANT and Apache Maven to schedule the builds.
• Took the sole responsibility to maintain the CI server.
• Performed 24/7 assistance and on call deployments of application codes to production environments.
• Worked in all areas of Jenkins setting up CI for new branches, build automation, plug-in management and securing Jenkins and setting up master.
• Automated the bundling process and reduced all the manual intervention needed and merged that to the Jenkins job.
• Installed and configured configuration tool such as Puppet to create PFS (package, file, service) using puppet master in puppet nodes by using modules.
• Worked on MAVEN as a build tools on java projects for the development of build artifacts on the source code
• Maintained build related scripts developed in shell for Maven builds, Created and modified build configuration files including POM.xml
• Resizing volumes to meet customer requirement, dealing with logical Volume Manager (LVM) performance issues.
• Implemented Kickstart/PXE Boot Servers that Resync between multiple locations.
• Managed Maven project dependencies by creating parent-child relationships between projects.
• Worked on setting up the new repos, managing the permissions for various GIT branches.
• Integration of Puppet with Apache and developed load testing and monitoring suites in Python.
• Troubleshooting, Security, Backup, Disaster Recovery, Performance Monitoring on Red Hat Linux Systems.