Ben Bangert is a seasoned CTO and co-founder with 21 years of experience building scalable, cost-conscious server-side systems and cloud infrastructure for privacy-first products like Home Assistant. He combines hands-on expertise in Python, Go, Rust and TypeScript with deep knowledge of distributed systems, NoSQL/SQL databases, and tooling such as Zookeeper to design reliable back-end architectures at scale. At Mozilla he led high-throughput notification and subscription platforms and contributed to notable open-source projects including a Rust sync storage server and extensions to logging and AWS libraries. Based in Cotati and committed to remote-first roles, he blends product-minded engineering with pragmatic DevOps and observability improvements, often refactoring and hardening core systems rather than shipping superficial features.
21 years of coding experience
21 years of employment as a software developer
California State University, Chico
Philosophy Computer Science, Philosophy Computer Science at Sonoma State University
Contributions:372 commits, 1 PR, 1 push in 13 years
Contributions summary:Ben's contributions focused on improving the performance and functionality of the database backend. They streamlined the database backend to avoid unnecessary database selects. The user also implemented major changes to the database backend to use a single row per namespace, added accessed and created columns to facilitate the deletion of old cache/session data, and addressed a bug in a previous database update that occasionally prevented session data from being written to the database.
Kazoo is a high-level Python library that makes it easier to use Apache Zookeeper.
Role in this project:
Backend Developer & Documentation Specialist
Contributions:4 releases, 672 commits, 124 PRs in 9 years 7 months
Contributions summary:Ben primarily contributed to the project by adding documentation infrastructure and updating references to improve project clarity. The code changes indicate modifications to configuration files and documentation-related setup scripts. They also made updates related to interfaces, demonstrating a focus on improving the project's architecture and documentation.
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