Scott Lavigne is a Senior Software Engineer with 14 years of experience building high-scale services at Amazon, currently owning the product construction and rendering layer for massively scaled retail pages like Search. He was a launch team member for AWS App Mesh and has contributed notable integrations to Envoy and App Mesh examples, including AWS IAM authentication for gRPC/HTTP and resilient gRPC policies. Scott blends backend, cloud, and DevOps expertise to accelerate feature development across Amazon retail, with a track record of shipping distributed systems and operational tooling. Based in Seattle, he pairs pragmatic production-focus with curious side interests—collector of bootleg Game Boy games—that hint at a playful, detail-oriented approach to engineering.
13 years of coding experience
8 years of employment as a software developer
Bachelor’s Degree, Computer Science, Bachelor’s Degree, Computer Science at California State University-Chico
AWS App Mesh is a service mesh that you can use with your microservices to manage service to service communication.
Role in this project:
Backend & DevOps Engineer
Contributions:10 reviews, 17 commits, 56 PRs in 2 years 4 months
Contributions summary:Scott significantly contributed to the examples within the AWS App Mesh repository, focusing on enhancing the gRPC and HTTP2 examples. They added and updated features, including implementing retry policies and a flakiness API, improving the overall functionality of the gRPC example, and updating the HTTP2 example to remove deprecated preview channel usage. Their contributions extended to DevOps aspects, updating the deploy scripts and integrating Bastion hosts.
Contributions:2 reviews, 6 commits, 8 PRs in 2 years 10 months
Contributions summary:Scott primarily contributes to the Envoy proxy by implementing and integrating AWS IAM authentication for gRPC and HTTP requests. Their work includes adding an AWS HTTP request signer and integrating AWS IAM gRPC credentials, reflecting a focus on cloud security and interoperability with AWS services. Furthermore, the user addresses issues related to AWS metadata fetching and tracing integration with X-Ray, enhancing the proxy's functionality within the AWS ecosystem. The contributions span both the core proxy logic and integration with AWS specific features.
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Scott Lavigne - Senior Software Engineer at Amazon