Principal Software Quality Engineer - Open Data Hub/OpenShift AI

Red Hat OpenShift AI (RHOAI) is hiring a Principal Quality Engineer to join our team. Contribute to RHOAI's product development, engage in open source communities like Kubeflow and Kserve, and be at the forefront of AI evolution. RHOAI provides robust technologies for Data Scientists and MLops, offering model development, serving, data pipelines, Kubeflow components, and Kubernetes operator development. By leveraging open source tools and the latest in AI and hybrid cloud, we deliver unmatched value. Join a team fostering continuous learning, career growth, and professional development. As a Principal Quality Engineer, you'll lead technical teams, design and implement automated test solutions, and collaborate across projects. You'll devise test strategies for large projects, foster open-source community engagement, and provide technical leadership and mentorship. Successful applicants must reside in a country where Red Hat is registered to do business.

• Collaborate with AI/ML upstream communities to ensure compatibility with OpenShift, evaluate new technologies from partners, and create integration examples with RHOAI
• Integrate new open source AI/ML components into Red Hat OpenShift AI
• Present at OpenShift/Kubernetes, and AI/ML related technology conferences and internally within the AI/ML communities of practice
• Own design reviews and automated testing for major product features and bug fixes. You'll be responsible for developing test strategies 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
• Contribute to the development of the Open Data Hub open source project and Red Hat Openshift AI family of products. 
• Utilize strong communication skills for cross-company collaboration, engaging with Red Hat engineers, product managers, consultants, and global management teams

• Experience with AI and Machine Learning platforms such as Kubeflow, Tensorflow or PyTorch 
• 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