Senior Quality Engineer - Open Data Hub/OpenShift AI

About the job

Red Hat OpenShift AI (RHOAI) is hiring Senior Software Engineers at all levels to join our team. Contribute to RHOAI's product development, engage in open source communities like Kubeflow, Trusty AI, 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 Senior Quality Engineer, contribute to leading hands-on technical teams, architecting automated test solutions, and collaborating across projects. Dive into open source communities, develop reference architectures, and provide technical leadership. Successful applicants must reside in a country where Red Hat is registered to do business.

What you will 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 you will bring

• 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