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What will you do
Own design reviews and automated testing for major product features and bug fixes. You'll be responsible for developing test strategy and frameworks, designing and implementing automated tests, creating and carrying out test plans, researching new features, developing automated tests, and maintaining and enhancing test frameworks.
Serve as an internal advocate for our customers, providing data-driven product quality metrics to all major stakeholders
Help grow a company-wide community of Quality enthusiasts that is passionate about our customers’ needs
Run technical initiatives that grow, improve, and scale our existing processes
Contribute to the development of the Open Data Hub open source project and Red Hat Openshift AI family of products.
Work with and develop testing plans for new open source AI components from Open Data Hub and Red Hat OpenShift AI
Utilize strong communication skills for cross-company collaboration, engaging with Red Hat engineers, product managers, consultants, and global management teams
What will you bring
Experience with AI and Machine Learning platforms such as Kubeflow, Tensorflow or PyTorch is considered a plus
5+ years of software quality engineering experience including test automation using object-oriented languages; Python and Golang are preferred
Extensive experience managing Linux-based systems in a production environment
Demonstrated expertise in container-related technologies like Docker, Podman, or Kubernetes
Proficiency in Jenkins or other batch management tools, including the creation of pipelines and the ability to troubleshoot tests using log analysis
Strong understanding of automated testing at both the API and UI frontend levels
Proficient in version control systems such as Git
Good written and verbal communication skills in English
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