Austin Schey
Senior Software Engineer at For People
Seattle, Washington, United States
Summary
👤
Senior🎓
Top SchoolAustin Schey is a senior full-stack engineer based in Seattle with 11 years of experience, specializing in backend systems and modern DevOps practices. He has led migration and modernization efforts—from moving on-prem monoliths to microservices in AWS to redesigning authentication flows for a Fortune 500 financial client. Austin builds reliable integration pipelines and real-time syncs (SFTP/API) and has practical experience implementing infrastructure-as-code using AWS CDK. He contributes to open-source tooling for job scheduling (ndscheduler), focusing on backend stability and test-driven fixes that improve runtime reliability. Known for turning legacy constraints into incremental, production-safe improvements, he also delivers client-facing analytics surfaces including mobile apps and an Excel extension backed by Snowflake. He blends hands-on coding with systems thinking, making complex distributed systems easier to operate and maintain.
11 years of coding experience
8 years of employment as a software developer
Bachelor's degree Computer Science, Bachelor's degree Computer Science at The University of Alabama
Github Skills (6)
python10
back-end-development10
apscheduler9
constants9
tornado8
testing8
Programming languages (10)
Github contributions (5)
Nextdoor/ndscheduler
Jun 2019 - Jan 2020
A flexible python library for building your own cron-like system, with REST APIs and a Web UI.
Role in this project:
Back-end Developer
Back-end DeveloperContributions:5 commits, 4 PRs, 1 comment in 7 months
Contributions summary:Austin primarily contributed to the back-end of the `ndscheduler` project. Their work focused on fixing job modification processes, converting specific arguments to constants within the base scheduler, and incorporating a constant for the number of job arguments. Additionally, the user addressed test failures, likely debugging and adjusting the codebase to align with correct functionalities. These changes demonstrate a focus on code stability, performance optimization, and adherence to best practices.
python-libraryapipythonweb-uiasyncio
aschey/go-prompt
Jul 2021 - Dec 2021
Building powerful interactive prompts in Go, inspired by python-prompt-toolkit.
Contributions:39 commits, 37 pushes, 4 branches in 5 months
golangpromptspythonprompt-toolkitprompt
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