Eric Edens
Software Engineer at Google
Seattle, Washington, United States
Summary
👤
Senior🎓
Top SchoolEric Edens is a seasoned software engineer with 13 years' experience building and maintaining production-grade back-end and DevOps tooling at companies including Google and Amazon. He has deep experience in cloud image tooling and build/release infrastructure—contributing significant refactors and bug fixes to GoogleCloudPlatform/compute-image-tools—and has led JDK and Corretto container efforts at Amazon. Comfortable in large-scale engineering environments, he blends systems-level troubleshooting, test-driven integration work, and pragmatic refactors to prepare codebases for future change. Based in Seattle, he also contributes to open-source projects like DuckDuckGo’s fathead instant-answer tooling, and balances his technical life with volunteering for animal rescue at PAWS.
13 years of coding experience
7 years of employment as a software developer
Computer Science, Computer Science at University of Nebraska at OmahaChemistry, Chemistry at University of CambridgeMaster of Education - MEd, Master of Education - MEd at Claremont Graduate UniversityComputational Chemistry, Computational Chemistry at Pomona College
Stackoverflow
74reputation
7kreached
5answers
0questions
Github Skills (32)
python10
scripting10
bash10
cloud-infrastructure10
indexing10
indexed10
gcp10
automation10
script10
indexer10
fileio10
file-handling10
file-processing10
sh10
automations10
Programming languages (11)
Github contributions (5)
GoogleCloudPlatform/compute-image-tools
Aug 2019 - Jul 2022
Tools and scripts for Google Compute Engine images.
Role in this project:
Back-end Developer & DevOps Engineer
Back-end Developer & DevOps EngineerContributions:22 releases, 583 reviews, 273 commits in 2 years 10 months
Contributions summary:Eric primarily focused on refactoring and enhancing the image import tools for Google Compute Engine. Their contributions include significant refactoring to prepare the codebase for future changes, such as removing gcsfuse dependency. They addressed integration test failures, brought back manual disk attachment, and improved error messaging. Furthermore, they were involved in the testing and bug fixing process for different operating system versions.
compute-enginegoogle-compute-enginepythongooglegoogle-compute
duckduckgo/zeroclickinfo-fathead
May 2013 - May 2013
DuckDuckGo Instant Answers based on keyword data files
Role in this project:Back-end Developer
Back-end DeveloperContributions:10 commits, 2 comments in 20 days
Contributions summary:Eric focused on developing and maintaining the back-end logic for generating DuckDuckGo Instant Answers based on keyword data files. Their contributions involved parsing MDN documentation and integrating it into the project. The user implemented features like indexing for disambiguation and redirects. They also refactored code to ensure UTF-8 encoding and improve the formatting of output files.
pythonjavascriptduckduckgoinstant-answersruby
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