Olivia Song is a software engineer with four years of hands-on experience building and hardening cloud-native infrastructure at AWS. She focuses on backend and DevOps work for Kubernetes-related projects, contributing to prominent repos like the AWS Load Balancer Controller and the Amazon VPC CNI plugin where she improved subnet discovery, load balancer deletion protection, and CI/CD test workflows. Olivia combines production-grade engineering with automation-minded testing improvements—e.g., syncing Helm charts, refactoring canary tests, and adding registry authentication—to streamline deployments and debugging. Her contributions show a practical emphasis on reliability and operability in large-scale AWS networking components, and she brings a pragmatic, detail-oriented approach to distributed systems problems.
A Kubernetes controller for Elastic Load Balancers
Role in this project:
Backend & DevOps Engineer
Contributions:7 releases, 111 reviews, 26 commits in 9 months
Contributions summary:Olivia focused on improving the AWS Load Balancer Controller, specifically working on subnet discovery and related configurations. Their contributions included restricting subnet auto-discovery to new load balancers, addressing issues related to subnet resolution, and implementing features such as the ability to check the cluster tag during subnet discovery. The user also made updates related to deletion protection for load balancers and made changes to the test suite to cover their changes.
Networking plugin repository for pod networking in Kubernetes using Elastic Network Interfaces on AWS
Role in this project:
DevOps Engineer
Contributions:5 reviews, 1 commit, 12 PRs in 1 day
Contributions summary:Olivia primarily focused on improving the CI/CD pipeline and test infrastructure for the Kubernetes CNI plugin. Their contributions include adding a workflow to sync helm charts, refactoring the canary test to use AWS registries, and adding authentication steps for the test image registry. They also made changes related to skipping cluster deletion for debugging purposes, demonstrating a focus on automating and streamlining the testing and deployment processes.
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