Software Development Engineer II at Amazon Web Services (AWS)
Seattle, Washington, United States
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Summary
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Rockstar
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Top School
Carter Goldman is a Software Development Engineer II based in Seattle with 10 years of experience building resilient backend and DevOps systems at scale. At AWS he has worked on Just Walk Out device data streaming services that ingest and distribute petabytes of camera and sensor data, and now contributes across cloud infrastructure teams. His open-source contributions include improving mount-utils and robustness in the high-profile Kubernetes project and hardening EKS AMI build automation for secure, FIPS-compliant deployments. Carter blends hands-on systems programming, testing, and automation to reduce operational pain and improve observability. Early roles in robotics and IoT reflect a practical bias toward embedded-to-cloud integration and production reliability. He’s a cloud-focused engineer who pairs production-grade automation with attention to low-level system behavior that prevents incidents.
10 years of coding experience
5 years of employment as a software developer
Bachelor of Science - BS, Computer Science, Bachelor of Science - BS, Computer Science at University of Notre Dame
Packer configuration for building a custom EKS AMI
Role in this project:
DevOps Engineer
Contributions:12 releases, 710 reviews, 73 commits in 1 year 1 month
Contributions summary:Carter primarily contributed to the infrastructure and build process of the Amazon EKS AMI. Their work included modifying installation scripts for worker nodes, addressing FIPS compliance, and managing package versioning. They implemented updates to the build process and added a GitHub Action for unit tests, indicating a focus on improving automation, security, and build stability within the AMI.
Production-Grade Container Scheduling and Management
Role in this project:
Back-end & DevOps Engineer
Contributions:55 reviews, 8 commits, 14 PRs in 2 months
Contributions summary:Carter primarily contributed to the `mount-utils` package, focusing on improving mount point handling within the Kubernetes project. Their work involved enhancing the robustness of mount cleanup processes by optimizing checks and leveraging the "not mounted" behavior of the umount command. They also added tests to ensure the correct functionality and behavior of these utilities, contributing to the overall reliability of Kubernetes. Furthermore, the user improved the logging and added debug info.
containersschedulingdockergradeproduction-grade
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