Vincent Roseberry
Staff Software Developer at Google
Squamish, British Columbia, Canada
Summary
🤩
Rockstar🎓
Top SchoolVincent Roseberry is a Staff Software Developer with 14 years of experience building cloud-native infrastructure, developer tooling, and automation at scale, currently working across Google and DeepMind. He has deep expertise in cloud infrastructure and CI/CD, evidenced by significant open-source contributions to HashiCorp’s Terraform Google provider and GoogleCloudPlatform’s magic-modules where he improved resource imports, testing, and automation. At Kaggle he strengthened testing and Docker-based build workflows to make ML-focused images and learn tools more reliable in flaky network environments. Prior roles at AWS and Google show a track record of shipping performance-sensitive distributed systems and developer-facing platforms. Based in Squamish, BC, he blends hands-on backend engineering with DevOps discipline and a knack for making brittle integrations robust. Peers describe him as a pragmatic engineer who uncovers and fixes subtle edge cases that keep large-scale systems running smoothly.
14 years of coding experience
16 years of employment as a software developer
BAC Software Engineering, BAC Software Engineering at Université LavalDCS Natural Sciences, DCS Natural Sciences at Cégep Sainte-FoyNorwegian University of Science and Technology
French, English, Norwegian
Stackoverflow
1reputation
0reached
0answers
0questions
Github Skills (30)
google-cloud-platform10
docker10
python10
back-end-development10
scripting10
testing10
bash10
dockers10
terraform10
cicd10
gcp10
terraformer10
automation10
script10
go10
Programming languages (13)
Github contributions (5)
Kaggle/docker-python
Jul 2018 - Aug 2022
Kaggle Python docker image
Role in this project:
DevOps Engineer & ML Engineer
DevOps Engineer & ML EngineerContributions:118 reviews, 955 commits, 992 PRs in 4 years 1 month
Contributions summary:Vincent primarily focused on improving the infrastructure and build process for the Kaggle Python docker image. Their contributions include workarounds to install the latest versions of LearnTools and related dependencies, configuring pip for internet access, and setting up and testing the build process. They also added and expanded tests for various machine learning and data science libraries used within the image, including TensorFlow, PyTorch, and LightGBM.
kagglepythondocker-imagedata-sciencedocker
GoogleCloudPlatform/magic-modules
Oct 2017 - May 2019
Add Google Cloud Platform support to Terraform
Role in this project:DevOps Engineer & Automation Engineer
DevOps Engineer & Automation EngineerContributions:191 commits, 93 PRs, 133 pushes in 1 year 7 months
Contributions summary:Vincent primarily contributed to the infrastructure and testing aspects of the project. Their work focused on setting up unit and acceptance tests using shell scripts, integrating them with the CI/CD pipeline. Furthermore, the user enhanced documentation generation and improved the automation around the resource definitions, including supporting nested objects and resource references. They also worked on configurable timeouts and made improvements to the Terraform build process.
golanggcpappenginegooglecloudgooglecloudplatform
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