Brittain Hard
Information Technology Support Engineer
Austin, Texas, United States
Summary
🤩
Rockstar🎓
Top SchoolBrittain Hard is an IT Support Engineer in Austin with 11 years of hands-on experience bridging software development and operational support. After a software-focused career—contributing DevOps automation to notable open-source projects like Bokeh and backend work for Blaze—he transitioned into IT support roles at organizations including Whole Foods and Amazon, where he handles endpoint management, incident response, and cloud-adjacent workflows. He brings practical cloud and container experience from roles at Quansight and Anaconda, having deployed Kubernetes clusters and automated build/deploy scripts that improved release reliability. A self-starter with strong troubleshooting instincts, Brittain pairs customer-facing help desk skills with scripting and automation expertise to reduce recurring operational toil. Based in Austin, he’s comfortable moving between hands-on hardware repair, Jamf/AD environments, and backend automation—an adaptable engineer who often surfaces process improvements others overlook.
11 years of coding experience
4 years of employment as a software developer
Bachelor of Arts (B.A.), English Language and Literature, General, Bachelor of Arts (B.A.), English Language and Literature, General at The University of Texas at Arlington
Github Skills (15)
git10
automation10
bash10
automations10
deploying10
bokeh10
python10
cicd10
numpy9
data-visualisation9
data-visualization9
data-visualizations9
pandas8
documentation8
javascript4
Programming languages (10)
Github contributions (5)
blaze/blaze
Aug 2014 - Oct 2014
NumPy and Pandas interface to Big Data
Role in this project:
Back-end Developer
Back-end DeveloperContributions:94 commits in 1 month
Contributions summary:Brittain primarily contributed to the documentation and backend capabilities of the blaze library. They developed a capabilities graph visualization, implemented the necessary backend logic, and refined the documentation's examples. The user also made improvements to the code and fixed errors in the documentation, updating examples for 2/3 compatibility.
data-analysispythondata-sciencenumpymachine-learning
bokeh/bokeh
May 2016 - Aug 2016
Interactive Data Visualization in the browser, from Python
Role in this project:DevOps Engineer & Automation Engineer
DevOps Engineer & Automation EngineerContributions:40 commits, 8 PRs, 69 pushes in 3 months
Contributions summary:Brittain primarily focused on automating the build and deployment processes for the Bokeh project. Their contributions included the creation and modification of the `deploy.sh` script, which handles version updates, tagging, and merging of code branches. They also implemented error checking and improved the script's overall functionality, ensuring a more reliable and streamlined release workflow. Additionally, they developed a script to parse modules, indicating involvement in tools for code analysis or documentation generation.
pythonvisualisationplottingbokehplots
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