Lukas Bednar is a Principal Quality Engineer with 14 years of experience building automation and test frameworks for virtualization and container orchestration at Red Hat, specializing in KubeVirt and Kubernetes integrations. He blends deep QA engineering with back-end and DevOps skills, contributing to high-profile open source projects like Ansible and KubeVirt where he improved cloud image workflows and API correctness. Based in Dresden, he focuses on making complex virtualization features reliable through automated testing, CI enhancements, and plugin integrations for Jenkins. Lukas’s background in computer and automation engineering and long tenure at Red Hat reflect a pragmatic engineer who moves smoothly between code, infrastructure, and quality practices—often improving usability and documentation as well as functionality.
14 years of coding experience
Computer and Automation Engineering, Computer and Automation Engineering at The Secondary School of Elecrical Engineering
Bachelor, Bachelor at Brno University of Technology Faculty of Information Technology
MOVED: Now at https://opendev.org/jjb/jenkins-job-builder
Role in this project:
DevOps Engineer
Contributions:11 commits in 3 years 8 months
Contributions summary:Lukas primarily contributes to the configuration and enhancement of the Jenkins job builder, specifically focusing on integrating and improving the functionality of various Jenkins plugins. Their work includes adding support for the Groovy Postbuild plugin, and implementing the Ansible playbook builder and the Lockable Resources plugin. Additionally, the user addresses issues and optimizes the configuration options within these and other plugins, enhancing the flexibility and usability of the Jenkins job builder.
Kubernetes Virtualization API and runtime in order to define and manage virtual machines.
Role in this project:
Back-end Developer
Contributions:80 commits, 41 PRs, 203 comments in 1 year 3 months
Contributions summary:Lukas primarily contributed to the KubeVirt API by fixing data types, adding documentation for API resources, and aligning API calls with Kubernetes conventions. They addressed semantic errors in the API spec and schema, improving the swagger documentation. Furthermore, the user corrected a test to ensure the server returned the correct HTTP status code for invalid requests. These changes focused on enhancing API usability, correctness, and compliance with Kubernetes standards.
apivmsmachineslibvirtruntime
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Lukas Bednar - Principal Quality Engineer at Red Hat