Kirubakaran Vijayaraghavan

Project: Starbucks

• Developed and maintained CI/CD pipelines using Jenkins for application deployment, SPN/secrets rotating, etc.
• Hand-on experience in implementing shell scripting in VM to reduce disk usage.
• Provided on-call support, ensuring rapid incident resolution and maintaining SLAs for continuous high availability and performance of application.
• Developed scripts for automated Application monitoring, which reduced issue detection time by 50%.
• Implemented monitoring solutions by created dashboard and configured standard alerts in monitor tools like Datadog, Splunk, Control Center, New relic and Apigee.
• Created and executed automation processes, enhancing application scalability and functionality.
• Performed root cause analysis to find most suitable solution to problems.
• Have experience in VBA code to automate XL works.

Project : Australian Football League, Hong Kong Jockey Club and Tennis Australia

• Hands-on experience in building and deploying large scale web applications and backend services in different Environment using Jenkins, Azure devops and AWS Code pipeline.
• Have experience in manual deployment in Kubernenetes (AKS) using Docker and ACR.
• Having experience in Rollback deployment using Nexus repository and Jenkins.
• Involved in setting up ingress-controller and Application Gateway in Azure.
• Hands-on experience in interacting with AWS services like EC2, IAM, S3, SNS, Load balancer, Auto-scaling and Azure services like VM, Scalesets, EventHub, Keyvault, Traffic Manager, Load Balancer, etc.
• Implemented and managed a robust CI/CD pipeline using Jenkins with multiple branch, resulting in a 50% decrease in deployment time
• Worked on Ansible playbooks and Terraform for virtual instance provisioning, configuration management and software deployment on Cloud platform.
• Troubleshooting and resolving issues related to application development, deployment, and operations.

Project: Amazon

• Provided quality of service and given accurate & appropriate information to customer and troubleshoot issue, successfully resolved over 95% of customer technical issues within the first contact based on the incident.
• Developed and implemented a comprehensive knowledge base system, resulting in a 30% reduction in average resolution time and increased efficiency in troubleshooting.
• Collaborated with different team to identify and resolve recurring issue, leading to 25% decrease in customer-reported issues and improved product stabilit
• Maintain all project and troubleshooting related document in confluence Setup and store all secret information in AWS storage service S3 using Bucket policy and security practices (IAM).