SUMMARY

• Experienced DevOps Engineer with over 8 years of Professional experience in design, development, build and deployment of web applications in practicing Cloud Computing, DevOps & Quality Engineering. Excellent reputation for resolving problems, improving customer satisfaction, and driving overall operational improvements. Consistently saved costs while increasing profits.
• Major focus on Configuration management, SCM, Build/Release Management, Infrastructure as a code (IAC) and as Azure DevOps operations Production and cross platform environments.
• Detailed technical knowledge and hands - on experience of DevOps with Azure, CI&CD Automation using Jenkins, Build and Release management.
• Experience on practical implementation of AWS Cloud-Specific services which include EC2, EBS, S3, VPC, RDS, SES, ELB, EMR, ECS, Cloud Front, Cloud Formation, Cloud Watch, RedShift, Terraform, Lambda, SNS, DynamoDB.
• Experience in Microsoft Azure services like App services, Azure Storage, Azure SQL database, Virtual machines, Fabric controller, Azure AD, Azure search, Notification hub, Application Insights, Virtual Networks, Virtual Machines, Cloud services, VPN, Azure Load Balancers, Azure DevOps practice.
• Experience in Setting up CI&CD Pipelines using Terraform (Infra as a Code IAAC), Jenkins, Ansible and Azure DevOps.
• Experience in working on several Docker components likeDocker Engine, Hub, Machine, Docker Composeand Docker Registry, creating Docker images and handling deployment on Kubernetes cluster.
• Worked with project management tools such asJIRA,Agile/Scrum Methodology and Azure Boards rally with short sprint cycle to release.
• Experience in keeping up and looking at log archives using monitoring tools likeNagios,Splunk,CloudWatch,ELK Stack,Dynatrace,New Relic,Prometheus,andAzure monitor.
• Experienced with Code Quality tools like Sonar, JUnit, Jacoco, Proficient with test automation tools like HP QTP, Selenium, JMeter, SOAPUI.
• Experience in configuration Linux Network Services such as IP4, routing, DHCP, ICMP, NAT, VPN, DNS, NTP, NFS, FTP, SSH, LAMP and Linux Security and network topologies like PAM, TCP wrappers, Firewall/IP-tables, SELinux.
• Experienced in working on DevOps /Agile operations process and tools area (Code review, unit test automation, Build & Release automation Environment, Incident and Change Management) including various tools.
• Profusely worked on Version control tools GIT, clear case to track changes made by different people in source code involving concepts like Branching, Merging and Tags.
• Experience in software build tools like Apache Maven and to write Pom.xml and Build.xml respectively using build plugins in maven.
• Design and Develop azure DevOps pipelines to manage the resources across multiple azure subscriptions.
• Worked as a team member to provide 24x7 on-call production support.

TECHNICAL SKILLS

Platforms: Microsoft Azure, Amazon Web Service (AWS)

OpenShift on: AWS/AZURE v3.7, v3.9, v3.11, v4.0, v4.4, v4.5

DevOps: Ansible, Terraform, Git, Jenkins, Jira, Vagrant, TFS, Packers, OpenStack, Dockers, Kubernetes(k8s), Maven, Opsgenie, MS Build, GitHub, Genesis, Jfrog and BAMS, Azure DevOps, Agile, Scrum, Kanban, SDLC, IaaS, PaaS, Build and Release

Servers: Win Servers (2008, 2012,2016), Linux, Application Security, Amazon Linux, Centos, RHEL 7, RHEL CoreOS

Scripting & Coding: Python, PowerShell, MSSQL, Shell, JSON, YAML, Groovy Scripting, ASP .NET, JAVA, YAML

Network: HTTP, DNS, TCP/IP, Firewall, VPC, NACL, Load Balancer, Proxy Servers, Azure Traffic Manager

Software: VMware, Microsoft (SCCM, SCOM), Active Directory Services, IIS, MSSQL, Tomcat, Symantec Endpoint, Grafana, Prometheus, Nagios, BAMS, Nexus.

AWS platform: EC2, S3, IAM, Route53, VPC, Autoscaling, EBS, ELB, CloudWatch, RDS, Lambda, EKS.

Microsoft: Azure Azure VM, V-Net, Subnet, NSG, ASG, Azure storage, Access Control, Blob, Subscription Administration, Azure

PROFESSIONAL EXPERIENCE

Confidential - New York, NY

Sr. DevOps/Cloud Engineer

Responsibilities:

• Detailed Support to Customers of Microsoft Azure in Design, Develop, Debug, And Migration of on Premises Infrastructure into Public or Private Clouds.
• Troubleshooting Azure and Application related issues and engage internal teams and vendor for issue resolutions.
• Manage and create storage account and Affinity group in Azure.
• Creating the storage pool and stripping of Disk for Azure VM’s. Backup, Configure and Restore Azure VM using Azure Backup.
• Indulging the process of developing and implement new process and document it.
• Develop and Maintain knowledge base articles
• Used ARM templates to automate the provisioning and deployment process.
• Identify performance, Connectivity and other issues for applications and engage development team to in-crease the performance
• Performed system administration and operations tasks using Jenkins, AppDynamics.
• Coordinating with Microsoft for increasing subscriptions limit like core limit and Cloud services Handling and resolving Client's issues remotely.
• Responsible for estimating the cluster size, monitoring, and troubleshooting of the Spark Azure Databricks cluster.
• Handle escalated Support tickets till closure got MS Azure IaaS Platform.
• Work closely with the program management /Product group for info on new released features. Interact with principal owners.
• Managing existing infrastructure and created new infrastructure using Ansible as Configuration Management Tool.
• Responsible for automated identification of application server and database server using Ansible Scripts.
• Migrating Services from On-premises to Azure Cloud Environments. Collaborate with development and QA teams to maintain high-quality deployment.
• Deployed the initial Azure components like Azure Virtual Networks, Azure Application Gateway, Azure Storage and Affinity groups.
• Deployed an Azure Databricks workspace to an existing virtual network that has public and private subnets and properly configured network security groups.
• Deployment of Cloud service includingJenkins and Nexus on Docker using Terraform.
• Container management using Docker by writing Docker files and set up the automated build on Docker HUB and installed and configured Kubernetes.
• Worked with OpenShift platform in managing Docker containers and Kubernetes Clusters.
• Configured Azure Traffic Manager to build routing for user traffic Infrastructure Migrations: Drive Operational efforts to migrate all legacy services to a fully Virtualized Infrastructure.
• UtilizedKubernetesfor the runtime environment of theCI&CDsystem to build, test deploy.
• Used Jenkins and pipelines to drive all microservices builds out to the Docker-registry and then deployed to Kubernetes, Created Pods and managed using Kubernetes.
• Implemented a CI&CD pipeline using Azure DevOps in both cloud and on-premises with GIT, MS Build, Docker, Maven along with Jenkins plugins.
• Implemented HA deployment models with Azure Classic and Azure Resource Manager
• Developed Python and shell scripts for automation of the build and release process.
• Deployed DSC from Azure Automation to On-premises or cloud environments.
• Configured Azure Automation DSC configuration management to assign permissions through RBAC, assign nodes to proper automation accounts and DSC configurations, to get alerted on any changes made to nodes and their configuration.

Environment: Azure, SVN, GITHUB, Docker, Kubernetes, Terraform, Ansible, Cloud Watch, Oracle, MySQL, Jenkins, Shell, Python, PowerShell, Bash, ANT, Maven, SPLUNK, AppDynamics, PUPPET, JIRA, Apache Tomcat.

Confidential - Westchester, IL

DevOps/Cloud Engineer

Responsibilities:

• Perform cloud migrations and work with clients and development teams to own the infrastructure components of the project.
• Work with Development, QA, and Perf Engineers to ensure automated test efforts are tightly integrated with the build system and in fixing the error while doing the deployment and building.
• Automating the Deployment process using DevOps techniques such as Jenkins, Ansible, Vagrant and Dockers.
• Administrating and maintaining AWS Cloud Environment, Ec2, S3, Route 53, IAM, Lambda, Cloud Formation.
• Migrating on-premises Web Applications to AWS Cloud using Cloud Migration
• Design & implement migration strategies for traditional systems on Azure (Lift and shift/Azure Migrate, other third-party tools) worked on Azure suite: Azure SQL Database, Azure Data Lake (ADLS), Azure Data Factory (ADF) V2, Azure SQL Data Warehouse, Azure Service Bus, Azure key Vault, Azure Analysis Service (AAS), Azure Blob Storage, Azure Search, Azure App Service, AZURE data Platform Services.
• Setup project level authorization in Azure DevOps security for each project, Create Repositories and branching for Azure applications.
• Design, implement and manage virtual networking within Azure and connect to on-premises environments, configure Express Route, Virtual Network, VPN Gateways, DNS, and Load Balancer.
• Experience in JIRA for ticketing and as well as defect tracking system and configure various workflows, customizations and plug-ins for JIRA bug/issue tracker, integrated Jenkins with JIRA, GitHub.
• Used Packer to create Automated Machine Images and automated the whole AMI creation process using Jenkins.
• Planned, designed, configured, and implemented Windows Server Update Services WSUS (both master and replica server
• Performed installation and managed Grafana to visualize the metrics collected by Prometheus.

Environment: s: AWS, Ansible, Terraform, Jenkins, Jira, ARM, SHELL, Bitbucket, Docker, Kubernetes, AWS Cloud Watch, Prometheus.

Confidential - SFO, CA

DevOps Engineer

Responsibilities:

• Detailed Support to Customers of AWS in Design, Develop, Debug, And Migration of on Premises Infrastructure into Public or Private Clouds.
• Automated AWS components like EC2 instances, Security groups, ELB, RDS, IAM through AWS Cloud information templates.
• Experienced in creating, configuring, and maintaining Infrastructure on AWS Cloud services including Virtual Private Cloud (VPC),EC2,RDS,S3,Route53,SNS,CloudFront,CloudWatchandIAM.
• Experience working with version control systems like Subversion, GIT and used Source code management toolsGitHub,GitLab,Bitbucketincluding command line applications.
• Built and managed a large deployment of Red Hat Linux instances systems with Chef Automation and provision virtual servers using vagrant and kitchen in Oracle VM virtual box, provisioned servers in Amazon EC2.
• Implemented AWS solutions using EC2, S3, RDS, EBS, Elastic Load Balancer, Auto scaling groups.
• Implementing new projects builds framework using Jenkins & maven as build framework.
• Configured Elastic Load Balancers (ELB) with EC2 Autos calling groups
• Created monitors, alarms, and notifications for EC2 hosts using Cloud Watch
• Implemented a Continuous Delivery pipeline with Docker, and GitHub and AWS
• Experimented with Docker, by using Docker-compose
• Using Jenkins AWS Code Deploy plug-in to deploy to AWS
• Managed Chef cookbooks to automate system operations and AWS Cloud management
• Integration of Maven/Nexus, Jenkins, Urban Code Deploy with Patterns/Release, GIT, Confluence, JIRA, and Cloud Foundry

Environment: GIT, Java/J2EE, Docker, Nexus, Jenkins, AWS, Chef, MAVEN, Cloud Foundry, UDeploy, JIRA, LINUX, Python, BASH Scripts, Shell scripts.

Confidential

Build / Release Engineer

Responsibilities:

• Automating the tasks using Ansible and Python scripting.
• Worked closely with Project Managers to understand a code/configuration release scope and how to confirm a release was successful.
• Communicated with all levels of engineering, management, development, and test teams.
• Checking the internal logs to ensure correct functioning of the system.
• Building the code for release using Jenkins and Git tools.
• Monitoring the machines using Nagios and New Relic.
• Creating and Maintaining Infra-Structure(machines/servers) using AWS.
• Created virtual servers in Amazon EC2 also configured security and networking, and volumes.
• Creating Domain Registration and Health Checking in Amazon Route 53
• Creating Buckets and Storing company related documents in Amazon s3.
• Resolving incidents using PagerDuty.
• Maintaining the documentation using the Atlassian tools Jira, confluence etc.
• Working on Amazon CloudWatch which helps us to gain system-wide visibility into resource utilization, application performance, and operational health
• Integrated GIT into Jenkins to automate the code check-out process.
• Used Jenkins for automating Builds and Automating Deployments.
• Good in provisioning and deployment tools like Ansible.
• Working on Hadoop ecosystem jobs using Mesos, Singularity, Chronos, Marathon with Docker.
• Migrating to Kubernetes
• Develop, implement, and maintain AJAX based rich client for improved customer Environment: Linux, Jenkins, Python Scripting, Shell Scripting, AWS, Jira, New Relic, PagerDuty, Zabbix, Datadog, GitHub, Ansible, Puppet, Singularity, Chronos, Marathon, Kubernetes.

Environment: Linux, Jenkins, Python Scripting, Shell Scripting, AWS, Jira, New Relic, GitHub, Ansible, Puppet, Singularity, Chronos, Marathon, Kubernetes.

Confidential

System Engineer

Responsibilities:

• Installed and administration of windows and Linux (Centos, Ubuntu, and Red hat) servers.
• Created Bash, shell scripts for various Systems Administration tasks to automate repeated processes.
• Creating and maintaining users, profiles, security, rights, disk space and process monitoring.
• Automate infrastructure using Chef and Puppet. Deployed Applications, managed infrastructure using tools like Ansible, Chef and Puppet.
• Responsible for managing windows/Linux based 1400+ servers, including 450+ Virtual servers 4.0 environment, with knowledge of DRS, HA and vMotion at the datacenter.
• Implemented thin provisioning from EMC VMAX storage arrays to UNIX/Linux and Windows2003/2008 (clusters) servers, and VMware ESX Servers using EMC Unisphere and CLI.
• Discovered and configured storage LUNs on the Linux servers. Responsible for monitoring and analyzing email system (Exchange 2003) activities to ensure maximum performance, efficiency, security, and availability.
• Patching the servers through Altiris/ manually, Setting alerts and alarms in the Virtual center.
• Initiating projects via cross-organizational channels, assign resources to manage cost, schedule, and performance of component projects, while working to ensure the ultimate success and acceptance of the Infrastructure Deployment program.

Environment: Windows, UNIX, Linux, Chef, Puppet, Ansible, VMware, Ubuntu, Bash, Shell Scripts.