Hannes Schmidt is a Senior Software Engineer with 12 years of professional experience building backend systems and cloud-native workflows, currently contributing at the UCSC Genomics Institute. He brings deep practical knowledge of distributed job orchestration and storage on AWS—highlighted by contributions to the widely used Toil workflow engine, where he improved AWS job-store reliability, multipart uploads, and Mesos executor interactions. Hannes has progressed from hands-on development and data migration roles to technical leadership positions, including Lead Software Engineer roles at UC Santa Cruz and Eyealike. He combines strong DevOps instincts with backend engineering, focusing on robust file management and scalable deployment patterns. Based in the United States and trained as a Dipl.-Ing. in Computer Science from Technische Universität Berlin, he blends academic grounding with a pragmatic approach to production systems. A behind-the-scenes problem solver, he often tackles thorny integration and resource-management issues that keep complex pipelines running smoothly.
A WDL, CWL and Python API supporting easy-to-use workflow engine. It is scalable, efficient and cross-platform (Linux/macOS).
Role in this project:
Back-end & DevOps Engineer
Contributions:10 releases, 953 commits, 502 PRs in 1 year 7 months
Contributions summary:Hannes focused on bug fixes and implementing new features for the AWS-based job store, interacting primarily with SimpleDB, S3, and related libraries. They contributed by developing and testing components related to file management and storage, with specific attention to multi-part uploads and managing the hot deployment of user scripts. Furthermore, the user addressed issues related to the Mesos executor and general issues with resource management.
Image and VM management for Jenkins, Spark and Mesos clusters in EC2
Contributions:11 releases, 1040 commits, 117 PRs in 4 years 6 months
jenkinsmesosspark
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