Matthew Dodson
Sr. SDE - GVSR, Alexa at Amazon
Seattle, Washington, United States
Summary
🤩
Rockstar🎓
Top SchoolMatt Dodson is a DevOps Delivery Consultant and former IBM site reliability and software engineer with seven years of hands-on experience modernizing mainframe and z/VM environments and shipping low-level fixes in S390x assembler. He helps clients migrate and modernize COBOL applications using automation and generative AI tools like IBM watsonx Code Assistant for Z, and has led large-scale z/VM migrations and global email infrastructure support. Trained in both computer science and psychology, he brings a rare combination of algorithmic rigor and human-centered problem solving—skills he applied building research web apps at the University of Pittsburgh. An active technical writer on notable open-source docs (including the k6 docs), he focuses on clarity and structure to make complex systems approachable.
7 years of coding experience
8 years of employment as a software developer
Business Foundations Certificate; German Minor, Business Foundations Certificate; German Minor at The University of Texas at AustinMasters of Science, Computer Science, Masters of Science, Computer Science at Georgia Institute of TechnologyGerman Minor, German Minor at The Julius Maximilians University of Würzburg
German, English
Github Skills (10)
rs10
restructuredtext10
content-model10
web-content10
documentation10
gatsby9
gatsbyjs9
devops8
django7
html7
Programming languages (14)
Github contributions (5)
grafana/k6-docs
Mar 2022 - Jan 2023
The k6 documentation website.
Role in this project:
Technical Writer
Technical WriterContributions:102 releases, 498 reviews, 483 commits in 10 months
Contributions summary:Matthew primarily contributed to the documentation website for k6, focusing on restructuring and improving the organization of the documentation. They updated and added redirects to existing pages, including changes to the "options" and "extensions" sections to improve clarity and navigation. The user also addressed various typos, outdated links, and made general improvements to the wording and structure of the documentation.
k6performance-testingreliability-engineeringdevops
ivelum/djangoql
Jul 2019 - Jul 2019
Advanced search language for Django
Role in this project:Technical Writer
Technical WriterContributions:7 commits, 7 pushes in 19 days
Contributions summary:Matthew primarily focused on updating the project's documentation, specifically within the README.rst and the syntax_help.html files. Their commits introduced grammar fixes, improved clarity, and enhanced the explanations of DjangoQL's features, including search conditions, field naming, and related model searches. The changes indicate an effort to improve the user experience by providing comprehensive and accurate documentation for using the advanced search language.
django
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