• Work closely and team with Developers, QA and Cloud Operations to develop and maintain the Cloud Supply Chain frameworks, technologies and feedback tools.• Ensure each phase of the Cloud Supply Chain from product management, through development, QA, Staging and into Production is fully automated, as frictionless as possible utilizing CI and CD. At each stage metrics and monitoring will fully visualize the Supply Chain status for the entire product team. Automate everything possible.• Designing the application layer of the product with ec2, rds, and elastic cache, and configuring AWS cloud watch for application monitoring• Providing infrastructure solutions based on amazon web services (AWS) in a fast-paced, challenging, innovative company focused on reliability and customer service.• Configure and utilize Azure cloud services for the existing virtual data center.• Implement and troubleshoot solutions hosted on windows azure using costeffective designs and following accepted guidelines for security, risk management, and compliance.• Decisive and effective quality and operations manager are skilled in leading cross-functional teams to meet customer quality and production demands with deadlines.• Research, endorse and implements network enhancements improving system reliability and performance.• Involve in DevOps migration/automation processes for build and deploy systems.• Implement the build automation process for all the assigned projects in vertical apps domain monitors the UAT/production environments for any downtime issues by performing regular CRON job updates in server.• Worked with git hub enterprise to manage source code repositories and performed branching, merging, and tagging depending on the requirement.• Responsible for versioning the source code, releasing binary files, creating and applying labels on source files and release files.

• Creating, configuring and deploying instances on AWS environment, also handling CloudWatch, Elastic Search and managing security groups on AWS.• Build and configure a virtual data center in the Amazon Web Services cloud to support Enterprise Data Warehouse hosting including Virtual Private Cloud (VPC), Public and Private Subnets, Security Groups, Route Tables, Elastic Load Balancer.• Used Terraform to set up the AWS infrastructures such as launching the EC2 instances, S3 buckets objects, VPC, Subnets, etc.• Designed AWS Cloud Formation templates to create custom sized VPC, Subnets, NAT to ensure successful deployment of Web applications and database templates.• Implemented a Continuous Delivery pipeline with Docker, Jenkins, GitHub and AWS AMI’s, whenever a new GitHub branch gets started, Jenkins, our Continuous Integration server, automatically attempts to build a new Docker container from it.• Creating Cloud Watch alerts for instances and using them in Auto scaling launch configurations.• Worked on installing of Docker using Docker toolbox and worked on creation of Docker containers and Docker consoles for managing the application life cycle.• Worked with Docker and Kubernetes on multiple cloud providers, from helping developers build and containerize their application (CI/CD) to deploying either on public or private cloud.

• Involved in DevOps automation processes for build and deploy systems.• As a member of Release Engineering group, redefined processes and implemented tools for software builds, patch creation, source control, and release tracking and reporting on Unix platform.• Assisted with maintaining current build systems, developed build scripts, and maintained the source control system.• Administered Jenkins, Proposed and implemented branching strategy suitable for agile/scrum development.• Wrote python scripts to deploy java applications from Jenkins to remote server.• Implemented Ansible to manage all existing servers and automate the build configuration of new servers.• Build and maintained SQL scripts and execute different scripts for different environments.• Created branching & tagging strategy to maintain the source code in the GIT repository and Coordinated with developers with establishing and applying appropriate branching, labeling and naming conventions using GIT source control. • Developed shell scripts on windows systems for automation of the build and release process and also automates deployment and release distribution process with shell.• Deployed applications on AWS by using Elastic Beanstalk.• Manage AWS EC2 instances utilizing Auto Scaling, Elastic Load Balancing and Glacier for our QA and UAT environments.

• Setup different environments for build and Release into Test, Pre-production, and Production.• Designed effective planning for SCM and implemented the setup of the Environment.• Build Engineer for the Client UNIX and Java applications.• Initially used Ant for writing build.xml for building Java/J2ee applications and later migrated to Maven.• Defined dependencies and Plug-ins in Maven POM.xml for various activities and integrated Maven with SVN to manage and deploy project related tags.• Designed and implemented a Continuous Integration process using tools like Jenkins with approval from development and other affected teams.• Deployed UNIX scripts, Auto scripts, and Database scripts on respective servers for all test environments using ChangeMan DS deployment utilities.• Installed and Configured the WebSphere Application server with LDAP security.• Set up automated deployment on JBOSS and WebSphere application servers using Python and shell scripts.• Wrote shell and Perl scripts for automation of daily tasks, documenting the changes that happen in the environment. • Wrote and implemented a Perl script to modify the LDAP database.• Maintained and administered RHEL, Solaris, and SUSE Servers.• Configure kick-start server and updating/applying patches to the servers using Red Hat Satellite Server.• Planned and performed the upgrades to Linux (RHEL, SUSE, CENTOS) operating systems and hardware maintenance like changing memory modules, replacing disk drives.

• Designed and deployed an AWS stack consisting of IAM, EC2, EBS, S3, VPC, subnets, route tables, security groups, RDS, ELB, autoscaling, CloudFront, CloudFormation, ElastiCache, Elastic-IPs, NAT Gateway, CloudWatch, SNS, Route53, and Amazon Lambda to support high-traffic web applications. • Created custom Docker container images, tagging and pushing the images and creating the Docker containers and Docker consoles for managing the application lifecycle.• Creating S3 buckets, managing S3 buckets storage utilizing storage classes, managing policies for S3 buckets and utilized them with Glacier for storage and backup on AWS.• Configured Kubernetes resources such as deployments, services, ingresses, and persistent volumes to optimize application performance, scalability, and availability.• Handled several Docker components like Docker Engine, Docker Compose and Docker Registry and Orchestration tools such as Kubernetes.• Working with Kubernetes to manage containerized applications using its nodes, selectors, services, and deployed application containers as pods.