Matt Landis is a seasoned software engineer with 11 years of experience building reliable back-end and DevOps tooling, currently contributing to Tilt Dev from Philadelphia. His career includes senior engineering roles at Twitter and Microsoft, pairing large-scale system design with hands-on implementation. Matt is an active open-source contributor to high-profile projects like Pants and Docker Compose, improving build systems, JVM configuration, and test/build automation. He focuses on developer experience and CI/CD reliability, often addressing subtle issues like newline handling, file-watching edge cases, and test timeouts. Comfortable across languages and infrastructure layers, he brings a pragmatic blend of performance optimization and automation-first thinking. Collected graduate training in computer science underpins his careful, detail-oriented approach to complex engineering problems.
Define your dev environment as code. For microservice apps on Kubernetes.
Role in this project:
Back-end Developer
Contributions:30 releases, 548 reviews, 678 commits in 3 years 10 months
Contributions summary:Matt primarily contributed to the maintenance and improvement of the Tilt project, with a focus on addressing bugs, improving testing procedures, and enhancing the overall functionality of the build environment. They made modifications to various components, including internal code for testing and rendering, demonstrating a strong understanding of the project's structure and how different components interact. Furthermore, the user's commits reflect attention to detail with fixes in log and text wrapping.
Contributions:71 reviews, 19 commits, 39 PRs in 2 years 2 months
Contributions summary:Matt primarily focused on improving the testing and build processes within the Tilt extensions repository. Their contributions included fixing timeout issues in tests, updating scripts to find and run all test scripts, and resolving issues related to command-line argument handling. They also made changes related to restarting processes and integrating with custom deployments, demonstrating a focus on automating and streamlining the build and deployment workflows.
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