. Worked with various Azure services like Web Roles, Worker Roles, Azure Websites, Caching, Azure SQL, Net worker servicers, API Management, Active Directory (AD) services infrastructure in advocating,maintaining, and monitoring. Azure Active Directory (AAD) infrastructure incorporated with periodicauditing, troubleshooting and performance.. Worked on Azure web application, App services, Azure SQL Database, Azure Blob storage, AzureFunctions, Azure AD, Azure Data Factory, Azure Service Bus and notification hub. Proficient in usingAzure service fabric to package, deploy, manage scalable and reliable microservices and containers.. Worked with Version Control, Build & Release Management and Deployments of the Solutions to the DEV, QA & PROD Environments leveraging Azure DevOps/VSTS principles/process (CI/CD) and toolsets of Visual Studio, AKS (Azure Kubernetes Service), Application Insights, Log Analytics.. Worked on Power Shell scripts to automate the Azure Cloud system in creation of VM, Resource groups, Azure Storage Blobs & Tables, firewall rules and used Python scripts to automate day to day administrative tasks Automated and orchestrated workloads using terraform, Ansible.. Created and maintained Continuous Integration (CI) using tools Azure DevOps (VSTS) over multipleenvironments to facilitate an agile development process which is automated and repeatable, enabling teams to safely deploy code in Azure Kubernetes Services (AKS) using VSTS by YAML scripting.. Used Azure Kubernetes Service (AKS) to deploy a managed Kubernetes cluster in Azure and created an AKS cluster in the Azure portal using template-driven deployment options such as Azure Resource Manager (ARM) templates and terraform.. Created CI/CD pipelines for .NET, Nodejs, Python Apps in Azure DevOps by integrating source codes GitHub, VSTS, and artifacts.

. Worked on Microsoft Azure services such as Virtual Networks, Blob storage, Data Factory, Cloud Services, Resource Groups, Express Route, VPN, Service Bus, Cosmos DB, Load Balancing, ARM template, Application Gateways, Auto Scaling, API Management, Network Services, deploying Web Apps,monitoring by Application Insights, and creating Web-Jobs.. Prepared capacity and architecture plan to create the Azure cloud environment to host migrated IaaS VMs and PaaS role instances for refactored applications and databases. Established connection from Azure to On-premises datacenter using Azure ExpressRoute for Single and Multi-subscription connectivity.. Responsible for creating and managing Azure AD tenants, manage users and groups, and configure application integration with Azure AD. Integrate on-premises Windows AD with Azure AD, configure multi-factorauthentication (MFA) and federated single sign-on (SSO).. Involved in Serverless services (Azure Functions) where I created and configured HTTP Triggers in theAzure Functions with Application Insights for monitoring and performing the load testing on the Applications using the Azure DevOps Test Plans, also configured Shared dashboards with required metrics and logs.. Migrated data from on-premises SQL Database servers to Azure SQL Database servers sent by designing the Azure Data Factory Pipelines using the Azure Data Factory copy tool and Self-Hosted Runtimes.. Experienced in Bluegreen Deployment and Canary Deployment, Octopus Deployment in the production. Managed Kubernetes cluster in the rollback and rollouts methods in the deployment strategies. Integrated Istio and helm packages with Kubernetes clusters for the service mesh.. Created Azure DevOps pipeline CI/CD jobs for end-to-end automation to build, test and deliver artifacts and troubleshoot the build issue during the Azure pipeline build process.

• Worked on Microsoft Azure services such as Virtual Networks, Blob storage, Data Factory, Cloud Services, Resource Groups, Express Route, Traffic Manager, VPN, Service Bus, Cosmos DB, Load Balancing, ARM template, Application Gateways, Auto Scaling, API Management, Network Services, deploying Web Apps, monitoring by Application Insights, and creating Web-Jobs.• Worked on Microsoft Azure Cloud Services (PaaS & IaaS), Application Insights, Document DB, Internet of Things (IoT), Azure Monitoring, Key Vault, Visual Studio Online (VSO) and SQL Azure.• Built CI/CD pipeline with Azure DevOps for Kubernetes containers, utilizing Kubernetes and docker for the runtime environment for the CI/CD system to build test and deploy on DEV and PROD environments.• Worked on Monitoring services like log analytics workspace, Event hubs, Activity log alert, Alert rules, Services health etc. I implemented SOC integration by automating Log Analytics and Event Hubs and creation of Shared access signature token for Event hubs and storage accounts and Enabled diagnostics settings for all services to send/stream the logs.• Responsible for implementing containerized based applications on Azure by using Azure Kubernetes Services (AKS), Kubernetes cluster, which are responsible for cluster management, Virtual Network to deploy agent node, Ingress API Gateway, MySQL Databases and Cosmo DB or stateless storage of external data, and setup revere proxy Nginx in the cluster. • Devised Terraform to deploy the infrastructure necessary to formulate development, test, and production environments. Configured azure VPN gateway and established Site-to-Site connectivity, Express Route with on premise Networks and Azure.• Developed Ansible playbooks, inventories, and custom playbooks in YAML, and encrypted the data using Ansible Vault and maintained role-based access control using Ansible Tower and Implemented IT orchestration using Ansible to run tasks in a sequence which can work on different servers.

• Developed methodologies for cloud migration, implemented best practices and helped to develop backup and recovery techniques for applications and database on virtualization platform.• Experienced in configuring Cloud platform such as Virtual Networks Multi-site, Cross-site, VMs, • Azure Active Directory, Load Balancers, Azure SQL, Cloud Services etc., and Created Azure Backup vault and protecting required VMs to take the VM level backups in Azure.• Worked on Server less services (Azure Functions) created and configured HTTP Triggers in the Azure Functions with Application insights for monitoring and performing load testing on the Applications using the VSTS.• Integrated Jenkins with Docker container using Cloud Bees Docker pipeline plugin to drive all microservices builds out to the Docker Registry and then deployed to Kubernetes. Integrated Selenium automation regression test suite in Jenkins build pipeline. • Developed Continuous Deployment pipeline by integrating Jenkins with Terraform, Developed Modules in Terraform to trigger the Infrastructure on the Azure.• Installing, configuring, and administering Jenkins CI tool on Linux machines. Used Jenkins pipelines to drive all Microservices builds out to the Docker registry and then deployed to Kubernetes, Created Pods and managed using Kubernetes.• Implemented microservices, application development, and migration using AWS/Azure services such as Azure DevOps, Kubernetes Service (AKS), Container Registry, Cosmos DB, and Grafana, Azure pipelines, Monitor, RBAC, AWS Kubernetes EKS and Kubernetes API to run workloads on EKS Clusters.• Deployed and optimized two tier Python web applications to Azure DevOps CI/CD to focus on development by using services such as Repos to commit codes, Test Plans to unit test, deploy App Service, Azure Application Insight collects health performance and usage data of the process, stored artifacts in blob storages.

• Configured and deployed Azure Automation Scripts for a multitude of applications utilizing the Azure stack services including Compute, Web & Mobile, Blobs, ADF, Resource Groups, Azure Data Lake, HDInsight Clusters, Azure SQL and ARM focusing on automation, created quality gates in SonarQube dashboard and enforced in the pipelines to fail the builds when conditions not met.• Provisioned Azure recourses like SQL Database, Web App, Storage Account, Redis Cache, Virtual Machine, IoT Hub, and HDInsight using Azure Resource Manager (ARM). • Experience with Azure Cloud Services (PaaS & IaaS), Azure Virtual Machines Azure Storage, SQL, Azure, Azure Active Directory, application insights, and logic apps.• Defined AWS Security Groups which acted as virtual firewalls that controlled the traffic allowed to reach one or more AWS EC2 instances.• Automated CI/CD pipelines, deployments of web application based on .NET, Node.js, Python, Java, using AWS Code Deploy, Code Pipeline, EC2, and secured by creating IAM roles and policies for services and users.• Using Jenkins AWS Code Deploy plugin to deploy to AWS.• Experience in setting up the infrastructure using AWS services including ELB, EC2, Elastic container services (ECS), Auto-scaling, S3, IAM, VPC, Red Shift, DynamoDB, Cloud Trail, Cloud Watch, Elastic Cache, Lambda, SNS, Glacier, Cloud Formation, SQS, EFS, and Storage Gateway.• Used Kubernetes for creating new Projects, Services for load balancing and adding them to Routes by accessing from outside, created Pods through new application and controlling, scaling and troubleshooting pods through SSH. • Installed Docker Registry for local upload and download of Docker images and even from Docker hub. Worked closely with developers to pinpoint and provide early warnings of common build failures.• Used Jenkins pipelines to drive all microservices builds out to the Docker registry and then deployed to Kubernetes, Created Pods and managed using Kubernetes.

● Created AWS Cloud Formation template by using JSON/YAML and implemented Tomcat and Apache Web servers for deployment and coordinated with offshore and onshore teams for production, also created CRON job for recovering crucial data of production by using AWS REST API to store on Dynamo DB.• Provided SME in all areas of Cloud (IaaS, PaaS, SaaS) to existing and perspective clients on multiple cloud platforms AWS and various PaaS platforms (Cloud Foundry/Open Shift).• Implemented automated way to create S3 buckets in AWS using troposphere and cloud formation templates. Strong network and security knowledge related to both AWS hosted services and on-premise datacenters.● Worked in Cloud Automation using AWS cloud formation templates. And also implemented automated local user provisioning instances created in AWS cloud. ● Responsible for provisioning, maintaining, and improving upon server infrastructure, split between physical data centers and AWS.● Provisioning environments in AWS cloud, building everything in Chef.● Assisting in the incident management process by reviewing production data and providing analysis on customer-impacting incidents.● Deployed and hosted the application on AWS using OpsWorks, automated single click deployment onto AWS using Chef.● Administrated and monitored activities for SVN, GIT, TFS, Perforce, UCM Clear case and CVS.● Designed and Developed Bamboo Build deployments on Docker containers.● Developed bamboo Plans for Maven builds, creating them on bamboo and running them.● Used Puppet for deployment to make easier by avoiding writing scripts.● Maintained build related scripts developed in ANT, Python, and shell. Modified build configuration files including Ant’s build.xml.