Principal Quality Engineer, OpenShift AI

About the Job

Do you want to be part of a team that is focused on scaling the deployment, trustworthy AI, and monitoring Foundation Models and Large Language Models (LLMs)? 

The Red Hat OpenShift AI (RHOAI) team is looking for a Principal Quality Engineer with Kubernetes and MLOps (Machine Learning) experience to join our rapidly growing engineering team. Our focus is to create a platform, partner ecosystem, and community by which enterprise customers can solve problems to accelerate business success using AI.. This is a very exciting opportunity to build and impact the next generation of hybrid cloud MLOps platforms, contribute to the development of the RHOAI product, participate in open-source communities, and be at the forefront of the exciting evolution of AI. You’ll join an ecosystem that fosters continuous learning, career growth, and professional development. 

As a core quality engineer for the Responsible AI team, you will have the opportunity to actively participate in one of our component teams as well as the affiliated open-source communities. You will work as part of an evolving development team to rapidly design, secure, build, test, and release new capabilities. The role is primarily an individual contributor who collaborates closely with other quality engineers and cross-functional teams. You should have a passion for working in open-source communities and for developing solutions that integrate Red Hat, open-source, and partner technologies into a cohesive platform.

What You Will Do

• Contribute to the architecture, design, development of automated testing for new features and solutions for RHOAI

• Innovate in the MLOps domain by participating in upstream communities

• Ensure non-functional requirements including security, resiliency, and maintainability are met

• Write integration and usability tests and work with software engineers to ensure product quality

• Contribute to a culture of continuous improvement by sharing recommendations and technical knowledge with team members

• Collaborate with product management, other engineering and cross-functional teams to analyze and clarify business requirements

• Communicate effectively to stakeholders and team members to ensure proper visibility of quality efforts

• Give thoughtful and prompt code reviews

What You Will Bring

• Bachelor’s degree or higher in computer science or related discipline; or equivalent experience

• Experience testing applications in Go or Python, or other language

• Experience in Kubernetes, OpenShift or other cloud-native technologies

• Ability to quickly learn and use new tools and technologies

• Experience with source code management tools such as Git

• Good system understanding and troubleshooting capabilities

• Ability to work independently in …