• Used agile methodology throughout the project. Involved in weekly and daily bases release management.• Working with a strong team of architectures, backend developers to gather function and non-functional requirements.• Involved in source control management with GitHub and GitLab Enterprise level repositories. Regular activities include configure user’s access levels, monitor logs, identifying merge conflicts and managing master repository.• Deploy and monitor scalable infrastructure on Amazon web services (AWS) & configuration management.• Involved in performing application deployment to AWS Elastic Bean Stack environment. • Configured & deployed Java applications on Amazon Web Services (AWS) for a multitude of applications utilizing the AWS stack, cloud formation.• Created environment on AWS platform, Kafka Cluster, Cassandra Clusters and implemented system alerts on DataDog.• Implemented Kubernetes to deploy scale, load balance, scale and manage docker containers with multiple names spaced versions.• Performed installation and managed Grafana to visualize the metrics collected by Prometheus.• Worked with terraform to create AWS components like EC2, IAM, VPC, ELB, Security groups and Used S3 for terraform state management.

• Worked on designing, planning and implementation for existing on-premise applications to AZURE Cloud (ARM), Configured and deployed Azure Automation Scripts utilizing Azure stack Services and Utilities focusing on Automation.• Configured and implemented storage blobs and Azure files - Created Storage accounts, Configured the Content Delivery Network (CDN), custom domain, Managing access and storage access key.• Experience in Windows Azure Services like PaaS, IaaS and worked on storages like Blob (Page and Block), SQL Azure. Well experienced in deployment & configuration management and Virtualization.• Developed and supported the Software Release Management and procedures. Also experienced with working on Subversion, Proposed and implemented branching strategy.• Used Docker for setting Azure Container Registry with Docker and Docker-compose and actively involved in deployments on Docker using Kubernetes.• Created CI/CD Pipelines in Azure DevOps environments by providing their dependencies and tasks. Also have experience on implementing and managing continuous delivery systems and methodologies on AWS and created END-END Automation with CI Procedures using Jenkins & automated Maven builds by integrating them with Continuous Integration tools Jenkins• Used Azure Kubernetes service to deploy a managed Kubernetes cluster in Azure and created an AKS cluster in the Azure portal, with the Azure CLI, also used template driven deployment options such as Resource Manager templates and terraform.• Configured servers to host Team Foundation Server (TFS) instance to setup and manage Continuous Integration (CI) using Team Foundation (TF) Build Service.

• Developed build using ANT and MAVEN as build tools and used CI tools to kick off the builds move from one environment to other environments.• Participated in the release cycle of the product which involves environments like developments QA and production.• Involved in setting up builds using CHEF as a configuration management tool.• 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.• Involved in developing and build shell scripts.• Hands on compiling builds using pom.xml and build.xml.• Resolved customer complaints everyday related to Jenkins, Git, Gerrit, ClearCase, Nexus, Sonar, Java. • Developed build and deployment scripts using ANT and MAVEN as build tools in JENKINS to move from one environment to other environments.• Worked with Nagios for Azure Active Directory & LDAP and Data consolidation for LDAP users. Monitored system performance using Nagios, maintained Nagios servers and added new services & servers.