Senior Platform Engineer
Current• Designed, planned, and executed a comprehensive migration of Kafka infrastructure from self-hosted environments to AWS Managed Streaming for Kafka (MSK), ensuring zero downtime and data loss. This strategic shift improved Kafka availability to 99.9%, safeguarding business continuity by guaranteeing uninterrupted data flow and operational stability.• Led the design and implementation of a self-service application for Kafka resource deployment on Kubernetes, automating previously manual and repetitive tasks. This initiative significantly boosted developer productivity, reducing time spent on resource deployment and accelerating the delivery of key projects, thus driving business growth.• Developed automation scripts using Bash, Go, Terraform, and Ansible, automating key operational tasks that previously required manual intervention. This automation reduced operational costs by 90%, leading to a dramatic improvement in efficiency and allowing the business to allocate resources more effectively toward innovation and strategic initiatives.• Created runbooks, self-managed applications, and deployed Cruise Control, significantly reducing the monitoring and administrative burden on on-call engineers. This optimization saved substantial time and enabled engineers to focus on their ongoing work, improving project delivery timelines and reducing burnout from on-call duties.• Contributed to open-source projects like Jaeger, enhancing its ability to process traces up to Kafka’s maximum size. This improvement empowered numerous organizations to effectively manage large-scale trace data, enhancing their operational monitoring and system observability capabilities.• Contributed to the terraform-kafka-provider, streamlining the management of MSK clusters with IAM authentication, which helped many organizations adopt secure and scalable Kafka infrastructure management using Terraform.