SUMMARY

• Sr Cloud DevOps Engineer with over 9 years’ experience in Cloud (AZURE, AWS), DevOps, Configuration management, Infrastructure automation, Continuous Integration and Delivery (CI/CD). I can implement effective strategies for N - Tier application development in both Cloud and On-premises environments. Experience in dealing with Unix/Linux and Windows server administration.
• Involved in designing and deploying applications utilizing all 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 DevOps Works and Cloud Formation and security practices IAM, CloudWatch, CloudTrail.
• Experienced in branching, tagging and maintaining the version across the environments using SCM tools like GIT, Subversion (SVN) and TFS on Linux and windows platforms.
• Administered and Implemented CI tools like Jenkins &Hudson for automated builds and to build and implement the end-to-end automation process.
• Performed job scheduling using Ansible Tower. Automated various infrastructure activities like Continuous Deployment, Application Server setup, Stack monitoring using Ansible playbooks and has Integrated Ansible with Jenkins.
• Experience in managed kubernetes services such as Azure kubernetes and AWS Elastic container service.
• Configuring and maintaining Red hat OpenShift PaaS environment.
• Good Understanding of OpenShift platform in managing Docker containers, Kubernetes Clusters.
• Experienced in managing the artifacts generated by MAVEN in the Nexus repository.
• Expertise with Docker images using a Docker file, worked on container snapshots, removing Images and managing Docker volumes. Orchestration of Docker images and Containers using Kubernetes by creating master and node.
• Experience in creating Kubernetes cluster on blade servers and virtual machines using various CNI tools including Calico, Flannel. Contrail and Weave.
• Assisted in the installation and configuration of an on-premise private cloud running on PKS, NSX-T and Kubernetes.
• Experienced in Cloud automation using AWS Cloud Formation templates, Python, Ruby, Chef (DevOps), Puppet (DevOps).
• Well versed in configuring an automated tool Puppet that included installation and configuration of Puppet and written manifests and modules for a puppet to do tasks like application deployment, configuration and create filesystems.

TECHNICAL SKILLS

• Automation Tools: Jenkins, chef, Puppet, Ansible, Docker, Kubernetes, Vagrant, Terraform, Hudson.
• Cloud Platforms: AWS, Azure, Google Cloud Platform (GCP), OpenStack, Pivotal Cloud Foundry (PCF).
• Database Systems: Cassandra DB, OracleDB2, MSSQL, MySQL, MongoDB, AWS RDS, DynamoDB.
• Version Control tools: GIT, Subversion, CVS, Bitbucket, Gerrit, ClearCase
• Web Servers: Tomcat, APACHE 2.x, 3.x, JBOSS 4.x/5.x, WebLogic (8/9/10), WebSphere4/5, TFS, Nginx, Azure, IIS, Redhat Satellite.
• Scripting/Languages: Perl, Python, Ruby, Bash/Shell Scripting, PowerShell scripting, YAML, PHP, JSON
• Application Servers: Web Logic Application server 9.x, 10.x, Apache Tomcat 5.x/7.x, Red Hat JBoss 4.22
• Volume manager: VERITAS volume manager (VVM), Logical Volume Manager (LVM) with Linux
• Monitoring Tools: New Relic, ElasticSearch, LogStash and Kibana (ELK), CloudWatch, CloudTrial, Splunk, Nagios
• Operating system: Linux (Red Hat 4/5/6/7, CENTOS & SUSE), Solaris 11/10/9/8, HP - UX 11.0, 11.11, 11.23, 11.31, V1, V2 & V3, Ubuntu 12/13/14, Windows NT /2000/2003, 2008, 2010, 2012, DEBIAN.

PROFESSIONAL EXPERIENCE

Confidential, Montvale, NJ

Sr. Cloud DevOps Engineer

Responsibilities:

• Worked on AWS services EC2, IAM, S3, Lambda, CloudWatch, Redshift, Dynamo DB, SNS, SQS, SES, EMR, Elastic Bean stalk, VPC, ELB, RDS, EBS and Route 53. Configuring and Networking of Virtual Private Cloud (VPC), Cloud Front, Route53. Knowledge on AWS API Gateway for custom domain and Record sets in Amazon Route53 for applications hosted in AWS Environment.
• Created Terra form modules for two tier Architecture which includes AWS resources VPC, Subnets, Security groups, Ec2, Load Balancers, Auto scaling group, Cloud watch Alarms, ECS clusters, S3 buckets for logs.
• Leveraged Amazon Web Services through AWS console and API Integration Performed all necessary day-to-day Subversion/GIT support for different projects.
• Implemented Terraform modules for deployment of various applications across multiple Cloud providers and managing infrastructure.
• Configuring and Networking of Virtual Private Cloud (VPC) Written Cloud formation templates and deployed AWS resources using it.
• Extensive experience with configuration management tools Chef with AWS Ops Works, Elastic Beanstalk and then launch, scale Docker containers in production using Apache Mesos and Marathon and/or configuration management automation.
• Wrote many Ansible playbooks which is the entry point for Ansible provisioning, where the automation is defined through tasks using YAML format. Run Ansible Scripts to provision Dev servers.
• Implemented a Continuous Delivery pipeline with Docker, Jenkins and GitHub and AWS AMI’s, whenever a GitHub branch gets started, Jenkins, our Continuous Integration server, automatically attempts to build a new Docker container from it. Troubleshoot the build issue during the Jenkins build process.
• Developed Docker images to support Development and Testing Teams and their pipeline and orchestrated Docker images and Containers using Kubernetes by creating whole master and node.
• Virtualized the servers using the Docker for the test environments and dev-environments needs. And also, configuration automation using Docker containers.
• Worked with the groovy scripts in Jenkins to execute jobs for a continuous integration pipeline where 'Groovy Jenkins Plugin' and 'Groovy Post-Build Action Plugin' is used as a build step and post build actions environments needs. And configuration automation using Docker containers. Virtualized the servers using the Docker for the test environments and dev-environments needs. And also configuration automation using Docker containers.
• Worked on Customizing AMIs, Register New AMIs & De-register AMIs, Snapshots of EBS, deploying instances behind Elastic Load Balancer and configuring Auto scaling.
• Developed CI/CD system with Jenkins on Kubernetes container environment, utilizing Kubernetes and Docker for the CI/CD system to build, test and deploy.
• Using Kubernetes and automated application deployments and updates and orchestrated deployment. Automate provisioning and repetitive tasks using Terraform and Python, Docker container, Service Orchestration.
• Used Kubernetes to orchestrate the deployment, scaling and management of Docker Containers.
• Created and maintained the Python deployment scripts for the Web Sphere web application server.
• Developed Perl and Shell, Yaml scripts for automation of the build and release process.
• Debugging the failure issues by capturing the array and register dumps using Python scripts, traces and performing several experiments by interacting with the design team.
• Wrote Ansible Playbooks with Python SSH as a wrapper to manage configurations of AWS nodes and Test Playbooks on AWS instances using Python.
• Developed Event based loosely coupled application using Spring Integration
• Developed the Presentation and Controller layers using JSP, HTML, Java Script, Business layer using Spring (IOC, AOP), DTO, JTA, and Persistent layer DAO, Hibernate for all modules.
• Designed a system using Kafka to auto - scale the backend servers based on the events throughput.
• Automated the Applications and MYSQL, NOSQL container deployment in Docker using Python and monitoring of these containers using Nagios.
• Implemented Kafka Storm topologies, which are capable of handling and channelizing high stream of data and integrating the storm topologies with Esper to filter and process that data across multiple clusters for complex event processing.
• Proficient with test automation tools like Selenium, JMeter, and SOAPUI.
• Drive complex deployments of Splunk dashboards and reports while working side by side with technical teams to solve their integration issues.
• Implemented Monitoring and logging using New Relic, DataDog, ELK Stack, Splunk.
• Configured CloudTrail to send the log data to a CloudWatch LogGroup for using in Amazon ES.
• Skilled in monitoring servers using Nagios, Cloud watch and using ELK Stack Elastic search Fluent Kibana.
• Performance tuning of WebSphere application server including JVM, Garbage Collection, JDBC along with its server logs.
• Worked with Atlassian tools like Jira, Confluence.

Environment: AWS (EC2, S3, Route 53, EBS, Security Group, Auto Scaling, and RDS) Chef, Docker, Kubernetes, Ansible, Maven, Jenkins, ANT, Confluence, Jira, Nagios Build and Deploy process and policies, Spring Framework, LINUX Shell scripting, python, Selenium, Splunk, JavaScript, Ansible,Lambda, New Relic, SVN, AWS CLI, Confidential AWS, JBoss, Puppet.

Confidential, Chicago, IL

Sr. Azure/DevOps Engineer

Responsibilities:

• Worked in highly collaborative operations team to streamline the process of implementing security Confidential Azure cloud environment and introduced best practices for remediation. Building and Installing servers through Azure Resource Manager Templates (ARM).
• Gained experience in dealing with Windows Azure IaaS - Virtual Networks, Virtual Machines, Cloud Services, Resource Groups, Express Route, Traffic Manager, VPN, Load Balancing, Application Gateways, Auto-Scaling.
• Extensive experience in Windows AZURE (IaaS) migrating like creating AZURE VMs, storage accounts, VHDs, storage pools, migrating on premise servers to AZURE and creating availability sets in AZURE. Configured Cloud Network Architecture using Azure Virtual Networks, VPN and Express Route to establish connectivity between on-premise and Cloud.
• Lead and direct teams to complete the development tasks on the current environments and major cloud migration development for cloud components like Azure Service Fabric, Kubernetes and DC/OS orchestration in Azure Container Service, Azure Redis Cache, Azure Message Queues, Azure Data Factory and Azure App Services and SQL Azure.
• Experience with Open Shift, Kubernetes architecture and design, troubleshooting issues with platform components Azure, and developing global or multi-regional deployment models and patterns for large-scale developments and deployments on Cloud Foundry, OpenShift and Kubernetes.
• Worked on OpenShift for container orchestration with Kubernetes container storage, automation to enhance container platform multi-tenancy also worked with Kubernetes architecture and design troubleshooting issues and multi-regional deployment models and patterns for large scale applications. In order to provide secured network connectivity to the containers we used Calico. Responsible for build and deployment automation using VM Ware ESX, Docker, Kubernetes containers and Chef.
• Created Azure AutomationAssets, Graphicalrunbook, PowerShellrunbook that will automate specific tasks, deployed Azure AD Connect, configuring Active Directory Federation Service (AD FS) authentication flow, ADFS installation using Azure AD Connect, and involved in administrative tasks that include Build, Design, Deploy of Azure environment.
• Worked on Azure key vault and Azure Services. And Managed Active Directory for Web Applications.
• Ability to build deployment, build scripts and automated solutions using various scripting languages such as Shell, PowerShell, Python, Ruby.
• Automated Weekly releases with ANT/Maven scripting for Compiling Java Code, Debugging and Placing Builds into Maven Repository. Using Ansible created multiple playbooks for machine creations and SQL server, cluster server and my SQL installations.

Environment: Azure (Web Roles, Worker Roles, SQL Azure, Azure Storage, Azure AD, Resource Groups, Cloud Services, Resource Groups, Express Route) OpenShift, Prometheus, Ansible, Docker, SonarQube, Kubernetes, Maven, Jenkins, GIT, AEM, Python, Jira, Nagios, Splunk, Red Hat, New Relic.