Bradford Bonanno is a software engineer with 10 years of experience building secure, high-performance systems across AWS, distributed architectures, and both backend and security domains. He has moved between roles at Amazon, VMware Carbon Black, Tinder (where he advanced security tooling and automation), and now Meta, combining hands-on development in Python, C#, C, and Node.js with application and systems security expertise. Bradford has led migrations and event-driven designs at scale, overhauled CI/CD to enable ephemeral test environments, and rebuilt microservices to handle tens of thousands of requests per second. He contributes to open-source observability work—adding metrics and profiling hooks to the Meilisearch API—demonstrating a practical focus on performance and operability. Known for translating complex security requirements into reusable libraries and automated workflows, he balances shipping features with ensuring they remain auditable and resilient. Based in New York, he blends a WPI computer science foundation with a track record of pragmatic engineering that bridges product, security, and reliability.
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 Worcester Polytechnic Institute
A lightning-fast search engine API bringing AI-powered hybrid search to your sites and applications.
Role in this project:
Back-end Developer
Contributions:5 reviews, 2 PRs, 7 comments in 9 days
Contributions summary:Bradford's contributions primarily focused on adding and enabling an experimental `/metrics` route within the Meilisearch API. This involved modifying existing code and test files to incorporate metrics functionality, including feature toggles and integration with the metrics middleware. The user also updated the project to integrate with the puffin profiling framework and address errors within the testing environment. These changes demonstrate a focus on improving the API's observability and enabling performance profiling.
Contributions:39 reviews, 69 commits, 63 PRs in 4 months
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