SUMMARY

• Experience in architecting and provisioning instances for On - premise Datacenter / Public Cloud Infrastructure like Azure and AWS.
• Hands on experience on Backup and restore Azure services and in Design and configure Azure Virtual Networks (VNets), subnets, Azure network settings, DHCP address blocks, DNS settings, security policies and routing. Azure cloud services, Blob storage, Active directory, Azure Service Bus, Cosmos DB.
• Extensive Experience on AKS (Azure Kubernetes), ACS (Azure Container services) and Azure Container Instance (ACI).
• Experienced in migrate an On-premises Instances or Azure Classic Instances to Azure ARM Subscription with Azure Site Recovery.
• Experienced in Establishing connection from Azure to On-premises datacenter using Azure Express Route for Single and Multi-subs.
• Experienced working with various services in Azure like Data lake to store and analyze the data. Managed Clusters with various Servers in Azure Cloud Resource Groups.
• Expertise with Azure Devops, Building pipelines.
• Excellent knowledge on AWS. Designed, configured and managed public/private cloud infrastructures utilizing Amazon Web Services (AWS) like Virtual Private Cloud(VPC), Availability Zones, EC2 instances, Subnets, routing tables, Network Access Control List (ACL), NAT and NAT Gateway, Route 53DNS, users, Security Groups, Roles, Policies, Auto Scaling, Elastic Load Balancer (ELB), Cloud Front, Cloud Watch, Simple Storage Service (S3), Elastic Block Store (EBS), and Glacier.
• Automated application deployment workflow with AWS ECS containers, Docker, Vagrant, Node.js, CloudFormation, Opsworks, CodeDeploy, CodePipe, Codebuild, Jenkins, and GitHub.
• Experience in writing Docker file and changing it to Docker Image then to Docker Hub.
• Building/Maintaining Docker container clusters managed by Kubernetes on Azure and AWS.
• Worked on Docker components like Docker Engine, Docker-Hub, Docker-Compose, Docker Registry, Docker Swarm and Kubernetes.
• Expertise in Jenkins pipelines to drive all micro services builds out to the Docker registry and then deployed to Kubernetes, Created Pods and managed using Kubernetes.
• Hands on expertise with configuration tools like Chef, Puppet and Ansible. Created several Cookbooks, Manifests and Playbooks to automate infrastructure maintenance & configuration.
• In-depth knowledge on creating Ansible Playbooks with Python SSH as the Wrapper to Manage Configurations of AWS nodes and Tested Playbooks on AWS instances using Python. Run Ansible Scripts to Provide Dev Servers.
• Worked on Ansible, used YAML packages for installing, configuring push to make changes in time.
• Expertise in Designing and creating multiple deployment strategies for CI/CD Pipelines using Jenkins, TeamCity, and Bamboo shortened deployment cycles by automating the deployments.
• Worked on the Microservices for Unit testing, Integration test cases, Status check foundation framework, Status check Compile, Package, Verify, Quality Scan, Publish Artifact, Deploy to Development and Start Functional Testing.
• Implemented Terraform modules for deployment of various applications across multiple cloud providers and managing infrastructure.
• Expertise in integrating Terraform with Ansible, create and Version the AWS Infrastructure.
• Managed complete maven builds cycle steps to validate, compile, test, package, verify, install, deploy with POM file configuration.
• Knowledge of Node.js and frameworks available for it. Integration of user-facing elements developed by front-end developers with server-side logic using Node.js.
• Hands on experience in packaging the files and place them in Artifactory such as Nexus, Jfrog and SonarQube.
• Good knowledge and experience in using Elasticsearch, kibana and fluentd, CloudWatch, Nagios, Splunk, Prometheus and Grafana for logging and monitoring.
• Have experience with Atlassian JIRA for creating bug tickets, workflows, reports pulling and planning sprints. And also, on deep knowledge on Remedy and HP quality center.
• In-depth understanding of the principles and best practices of Software Configuration Management (SCM) and CI/CD in Agile, SCRUM, Waterfall methodologies.
• Expertise in using build tools like Maven, Ant and Gradle for building deployable artifacts such as JAR, WAR and EAR from source code.
• Used Nagios for monitoring and alerting services for servers, CloudWatch, Splunk to monitor the logfiles, Network Monitoring, Log trace monitoring and the hard drive status.
• Worked on monitoring tools like New Relic and Loggly for centralize logging platform.
• Worked on PowerShell for creating Application Gateway and Load Balancer and their wiring.
• Proficient in Shell, Bash, Python, PowerShell and Perl scripting language for automation CI/CD.
• Automated the process of deployment to Apache Tomcat Application Servers by developing Python Scripts.
• Experience working with Relation Databases and NoSQL database such as MYSQL, Microsoft SQL Server, Amazon Aurora, Amazon RDS, Mongo db.

TECHNICAL SKILLS

Configuration Management: Ansible, Chef and Puppet.

Continuous Integration: Jenkins, Team city, Bamboo

Virtualization Platforms: AWS, Azure, VMWare.

Package Management: Nexus, Artifactory.

Issue Tracking: JIRA, Service-Now, Remedy.

Containerization: Docker, Kubernetes, OpenShift.

Operating Systems: Linux (Red Hat 5/6), Ubuntu, CentOS, Windows, and UNIX.

Databases: MySQL, PostgreSQL, MongoDB, Oracle DB 10g, 11g.

Programming Languages: JavaScript, XML, HTML, Groovy, Shell script, Ruby and Python.

Infrastructures spinuptools: Terraform, CloudFormation, ARM templates.

Web Application server: Web logic, Web Sphere, Apache Tomcat and JBOSS.

Logging &Monitoring Tools: Nagios, Cloud watch, Splunk, ELK, Grafana, Prometheus.

PROFESSIONAL EXPERIENCE

Confidential - Seattle, WA

Azure Devops/SRE

Responsibilities:

• Configured on Microsoft Azure (Public) Cloud to provide IaaS support to client. Create Virtual Machines through Power Shell Script and Azure Portal.
• Expertise in implementing Azure DevOps culture through CI/CD. Had set up staging and production environments for CI workflow.
• Analyze and resolve compilation and deployment errors related to code development, branching, merging, and building of source code.
• Configured Azure App Insights for user activity, logging, Azure Monitoring service
• Setup and Configure Security for Azure Infrastructure - Authentication, Authorization and Administration.
• Creating Storage accounts and configuring it on Linux
• Created automated PowerShell/Azure SQL solution to analyze and present Azure billing information
• Used Chef recipes to manage Web Applications, Configure and maintain infrastructure, Database, Users, Mount Points, and Packages
• Installed, configured, administered, monitored Azure, IAAS and PAAS, Azure AD.
• Knowledge on Azure SPN (Service principle name).
• Migrate Linux instances to Azure and used PowerShell to create Azure VMs
• Implemented DevOps with CI and CD methodologies using Docker.
• Scripting experience in Python, Ruby, and/or Bash, PowerShell for automation purpose
• Expert in Azure Services and capabilities (VMs, VNETs, Express Route, Azure AD, Load Balancers, Azure SQL, SCCM, SCOM etc.)
• Deployed Azure IaaS virtual machines (VMs) and Cloud services (PaaS role instances) into secure Azure Virtual Networks and subnets.
• Responsible for the availability, security, access, backup, and performance of the cloud architecture
• 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, ingress API gateway, MySQL Databases and Cosmo DB for stateless storage of external data and setup reverse proxy ngnix int the cluster.
• Implemented Azure Key Vaults for storing the encrypted passwords and keys for doing this in the Blob storage
• Work with development, testing, deployment, systems/infrastructure and project teams to ensure continuous operation of build and test systems.
• Migrated code from SVN to ClearCase Repository.
• Set up and maintained Logging and Monitoring subsystems using tools like Kibana, Prometheus, Grafana.
• Established infrastructure and service monitoring using Prometheus and Grafana.
• Programmatically creating Jenkins Jobs using Jenkins REST API
• Building/Maintaining Docker container clusters managed by Kubernetes, Linux, Bash, GIT, Docker.
• Experience in creating Containers by Docker's for Microservices
• Responsible for pom, Unit test cases, Sonar dashboard for Selenium Test Cases for all the microservices.
• Utilized Kubernetes and Docker for the runtime environment of the CI/CD system to build, test deploy.
• Designed Kubernetes cluster using AKS, configuring and deploy the Kubernetes dashboard to access the cluster via its web-based user interface.
• Responsible for installing and administrating the Sonar Cloud for code quality check generating reports for different projects.
• Configured Sonar qube service endpoint for the Azure DevOps ; Configured Azure pipelines with conditions, stages, expressions; triggered ARM Templates to deploy infrastructure
• Configured setting up the build and deployment automation for ARMtemplates.
• Worked on Ansible, used YAML packages for installing, configuring push to make changes in time.
• Automate provisioning and repetitive tasks using Terraform and Python, Docker container, Service Orchestration.
• Expertise in using ARM templates for complete infrastructure deployment. Performed roll back operations. Modularize ARM templates using “nested ARM templates”.
• Responsible for the Plugin Management, User Management, Build/Deploy Pipeline Setup and End-End Job Setup of all the projects.

Environment: Azure Devops, ARM, RBAC, AKS, Docker, VSC, Jira, Perl Script, Shell Scripts, CHEF, Batch Script WebLogic Application Servers. UNIX Cruise Control Cruise Control.Net, Web Logic Application Server, GIT, Azure Repository, PowerShell, Chef, Python and Puppet.

Confidential

DevOps/AWS Engineer

Responsibilities:

• Created AWS CLI commands to create Amazon EC2 Container Instances.
• Worked on AWS EC2 Instances creation, setting up VPC, launching EC2 instances different kind of private and public subnets based on the requirements for each of the applications.
• Working on AWS Elastic load balancing for deploying applications in high availability.
• Working on AWS Auto Scaling for providing high availability of applications and EC2 instances based on the load of applications by using Cloud Watcher in AWS.
• Used AWS S3 to store code bundles to deploy onto EC2 Instances.
• Delivered Solutions to improve cloud architecture, deployment for AWS private and public cloud.
• Managed multiple AWS accounts with multiple VPC’s for both production and non-production where primary objectives included automation, build out, integration and cost control.
• Created Cloud Watch alarms for AWS Services such as EC2, RDS, and EBS for various metrics like CPU utilization, Disk Read Opsetc. And set up notification service using SES, SNS.
• Experience in Converting existing AWS Infrastructure to Server less architecture (AWS Lambda, Kinesis), deploying via Terraform and AWS Cloud Formation templates.
• Created continuous integration system using SVN, Ant, Jenkins, Puppet full automation.
• Integrated Build Process through Jenkins to various SCM tools like GitHub, SVN.
• Managed SVN repositories for branching, merging and tagging and developing Shell/Groovy Scripts for automation purpose.
• Creating scripts in DSL Groovy which integrate with Jenkins for Automation to create seed jobs.
• Created Micro services using AWS Lambda and API Gateway using REST API.
• Assisted with design of REST API for platform automation.
• Developed REST API in Spring Boot to consume JSON data and integrated the backend logic with the frontend views.
• Configured Sonar qube for Jenkins to perform static and dynamic code analysis, code coverage, configured Gerrit for code review, J Unit, Nunit, PyUnit for unit testing.
• Developed self service portal for triggering application build jobs using AWS Lambda, s3 event notifications, AWS SQS to queue the job requests, AWS SNS to notify the Sonar qube reports and build status.
• Setting up the build and deployment automation for Java base project by using JENKINS and Maven.
• Used AWS S3 as storage for store to the files and images and accessed via S3 REST API
• Created playbooks and roles for Ansible and deploying applications to AWS cloud using Ansible.
• Implemented multiple high-performance MongoDB replica sets on EC2 with robust reliability
• Focused on containerization and immutable infrastructure. Experience on clustering and container management using Docker Swarm and Kubernetes. Created private cloud using Kubernetes that supports DEV, TEST, and PROD environments, changing the AWS infrastructure Elastic Beanstalk to Docker with Kubernetes
• Integrated Ansible dynamic inventory for Virtual box, Open stack, Amazon AWS EC2, Docker for full automated deployment in all the environments to support scaling required.
• Built end to end CI/CD Pipelines in Jenkins to retrieve code, compile applications, perform tests and push build artifacts to JFrog
• Worked on to setup for the various Jenkins CICD pipeline configurations for all the microservices.
• Worked on the build activities for all the existing microservice.
• Integrated JIRA with Git and Jenkins to automate end-to-end release cycle with Maven and Tomcat repository to set up continuous integration and formal builds as WARS’s/Ear’s through server console.
• Applying the patches to the WebLogic servers.
• Configured F5 Load Balancer Implemented standard backup procedures for both application and WebLogic.
• Familiar with working algorithm of CI through Jenkins.
• Working with build Scripting tools/task runners like Gulp, Grunt, Psake, Maven, MsBuild and automating package/dependency management using tools like NuGet, npm, JFrog Artifactory,etc
• Expertise in scripting for automation, and monitoring using Shell, Terraform, Python& Perl scripts.
• Setup Nagios for monitoring the infrastructure; also used Nagios Handlers, which acts on the service status with pre-defined steps/scripts.

Environment: AWS (EC2, VPC, ELB, S3, RDS, Cloud Trail and Route 53), VDI, Git version Control, VPC, AWS EC2, S3, Route53, EBS, IAM, SQL, No SQL, ELB, Cloud watch, Cloud Formation, Jira, Bamboo, AWS CLI, AWS Auto Scaling, Unix/Linux, Shell scripting, Redshift