Lucas Gravley is a Principal Engineer with 8+ years of experience building scalable DevOps and CI/CD/CT platforms for large enterprises, currently driving infrastructure and automation at FICO after senior roles at GitHub, Stripe, GE Healthcare and HPE. He combines deep hands‑on skills in Perl, Python, Bash and modern tooling (Docker, AWS CloudFormation, ECS, Spot Fleets) with a track record of architecting worldwide deployments, self‑healing monitoring, and the separation of massive build environments during major corporate splits. A frequent speaker at DevOps Enterprise events and a contributor to high‑impact open source projects like super-linter and GitHub training materials, he focuses on automating code quality and streamlining release pipelines. Notably, he led the DevOps and ChatOps build architect efforts across HPE and GE Healthcare, evolving legacy systems into containerized, infrastructure‑as‑code platforms that accelerate cloud adoption.
8 years of coding experience
13 years of employment as a software developer
standard degree with advanced placement, Computer Science, standard degree with advanced placement, Computer Science at Lake View High School
Bachelor, Computer Science 2010; Computer Science, Bachelor, Computer Science 2010; Computer Science at Angelo State University
Combination of multiple linters to run as a GitHub Action or standalone
Role in this project:
DevOps Engineer
Contributions:38 releases, 286 reviews, 1261 commits in 2 years 9 months
Contributions summary:Lucas focused on improving the Super-Linter project's infrastructure and build process. Contributions include updates to the Docker image build, addition of release automation and labels to GitHub actions. The user was also responsible for incorporating build arguments and versioning.
Home of the words in the GitHub Training Manual and teaching scripts.
Role in this project:
DevOps Engineer
Contributions:106 commits, 2 PRs, 2 pushes in 1 year 3 months
Contributions summary:Lucas's primary contributions focused on automating code quality checks using linters within the repository. They implemented and refined a Perl script (`stack-linter.pl`) to validate various file types, including Perl, Python, YAML, and Bash scripts. Through iterative commits, the user added features, fixed file locations, and improved the script's functionality and integration, ultimately enhancing the project's code quality and maintainability.
pythonteachingdocsifytrainingwords
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