Elliott Foster is a results-driven Director of Software Engineering with 15 years of experience designing and operating high‑scale web and data platforms, currently leading integrations and data governance at Optum in Austin. He combines hands‑on expertise in Node.js, AWS, graph databases (Amazon Neptune), and distributed systems with a track record of modernizing data pipelines, enforcing data quality (Great Expectations), and instituting feature flagging and DAST across organizations. Previously he architected and scaled content APIs and graph migrations for major media properties at Four Kitchens, driving traffic from thousands to tens of millions daily. Elliott is an active open-source contributor who has improved widely used Node.js tooling and hubot adapters, showing attention to robust parsing, command handling, and test coverage. He pairs technical depth in backend systems and databases with people leadership—managing managers and fostering engineering excellence through DORA metrics and continuous improvement.
15 years of coding experience
18 years of employment as a software developer
B.S.C.S. Computer Science, B.S.C.S. Computer Science at The University of Texas at Dallas
DEPRECATED, see https://github.com/github/hubot-scripts/issues/1113 for details - optional scripts for hubot, opt in via hubot-scripts.json
Role in this project:
Back-end Developer
Contributions:9 commits in 2 months
Contributions summary:Elliott primarily contributed to the `hubot-scripts` repository by adding a script for indexing chat logs using Apache Solr. Their initial work involved setting up the necessary dependencies and configurations for the Solr integration. The user then made changes to the code, including reverting modifications to the CoffeeScript syntax and the script comments.
Contributions:9 commits, 3 PRs, 15 comments in 8 days
Contributions summary:Elliott primarily focused on improving the configuration parsing logic of the node-config library. Their contributions involved fixing issues related to comment handling in JSON files, ensuring that comments are correctly stripped from JSON strings, and implementing fallback mechanisms to handle potential parsing errors. The user also added new test coverage to ensure correct handling of strings containing quotes. These changes enhanced the library's ability to parse configuration files.
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