Responsibilities:• Provide oversight, standardization and validation of system and application architecture.• Designing, implementing, and support of containerized applications, running on highly available, cloud and physical based node.• Assisting in the integration of the Systems and Development teams into Early Warning's ongoing evolution improvement, through tighter integration and collaboration.• Created Ansible scripts for EC2 instances, Elastic Load balancers and S3 buckets, Planned, developed & maintained Infrastructure as code using CI/CD deployments using Ansible.• Configured and maintained an AWS Virtual Private Cloud (VPC), Public and Private Subnets, NACL's, Route Tables, Elastic Load Balancer, Security Groups and EC2 instances.• Automated various infrastructure activities like Continuous Deployment, Application Server setup, Stack monitoring using Ansible playbooks and has Integrated Ansible with Jenkins.• Automated setting up server infrastructure for the DevOps services, using Ansible, shell and python scripts.• Wrote Ansible Playbooks with YAML, SSH as the Wrapper to manage configurations of Nodes & test Playbooks on instances using Python and run Ansible scripts to provision development servers.• Written Ansible playbooks for Automation to provision hosts for Nginx, HAProxy and Wilfley servers.• Designing, creating and maintaining comprehensive documentation of best practices for all implemented system configurations.Environment: AWS (EC2, VPC, ELB, S3, RDS, Cloud Trail and Route 53), VDI, Git version Control, Cloud watch, Groovy, Ansible, CloudFormation, Docker, Jira, Bit Bucket, Jenkins, AWS CLI, AWS Auto Scaling, JAVA PowerShell scripting, Windows.

Responsibilities:• Involved in development and implementation of complicated and vast on-premises Hadoop data centre data migration project to Amazon Web Services (AWS Cloud).• Administration, build and maintenance of the available secure multi-zone AWS cloud infrastructure by using the configuration tool Ansible with AWS CloudFormation and Jenkins for continuous integration.• Worked on creating Event triggers on S3 whenever a particular file is uploaded or placed into an AWS’s S3 bucket.• Designed and implemented Chef, including the internal best practices, cookbooks, automated cookbook CI and CD system. Made use of Jenkins for Chef CI, Thor for versioning, Berkshelf for dependency management, and Test-Kitchen for testing and development.• Wrote Lambda functions in python for AWS’s Lambda, Kinesis and Elastic Search which invokes python and PowerShell scripts to perform various transformations and analytics on large data sets in AMAZON EMR clusters.• Created build and deployment plans and schedule per requirement. Attend and update risks to Chan& release • Managed users and groups using the AWS's Identity and Access Management (IAM) and monitored Teams within the Global Delivery Center using the Global Delivery Framework methodology.• Implemented Infrastructure automation through Ansible for auto provisioning, code deployments, software installation and configuration updates.• Build CI/CD pipeline to auto deploy the application to prod and non-prod environments.Environment: AWS (EC2, VPC, ELB, S3, RDS, Cloud Trail and Route 53), VDI, Git version Control, AWS EC2, S3, Route53, GitFlow, CloudFront, Ansible, Cloud watch, Elastic Search, CloudFormation, Java, Docker, Jira, Bit Bucket, Jenkins, AWS CLI, AWS Auto Scaling, IBM Global Delivery, Windows.

Responsibilities:• As member of DevOps group, redefined processes and implemented tools for software builds, patch creation, source control, and release tracking and reporting, on UNIX platform.• Implement and manage continuous delivery systems and methodologies on AWS, Used GIT as source code repositories.• Cloud infrastructure maintenance effort using a combination of Jenkins, Chef and Terraform for automating CICD pipeline in AWS• Deployment management skills for deployment and environment management architecture and process creation. Use Devops tool Chef, Puppet and Ansible in provisioning AWS machines. • Build CI/CD pipeline for DEV, QA and UAT environment and automate the build and deploy processes.• Kubernetes is being used to orchestrate the deployment, scaling and management of Docker Containers• Responsible in managing all aspects of the software configuration management process including code compilation, packaging, deployment, release methodology and application configurations with remote execution to ensure zero downtime and shortened deployment cycles via automated deployments. • Assist developers in integrating their code with the main stream• Used Docker hub, creating Docker images and handling multiple images primarily for middleware installations and domain configuration.• Experience on Devops tools such as GIT, SVN, ANT, Maven, Jenkins, Chef, Puppet, Docker, Vagrant, and virtual box. • Proficient in computerization utilizing Python, Ruby and UNIX Shell/bash scripting. • Profusely worked on Version control tools like GIT, clear case to track changes made by different people in source code. • Familiar with Atlassian tool stack such as Jira, Jenkins, Bitbucket and confluence. Environment: Java/J2EE Ant, Puppet, Jenkins, Maven, Python, AWS, GitFlow, JBoss, GIT, PowerShell, JIRA, Chef, Ant, Maven, CloudFront, Splunk, Bash, Unix, HP QC Connector.