Red Hat OpenShift AI User Experience and Product Wide Quality Engineer Full-time

Job Summary:

Are you ready to join a game-changing open-source AI platform that harnesses the power of hybrid cloud to drive innovation?

The Red Hat OpenShift AI (RHOAI) team is looking for a Software 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 User Experience and Product Wide Quality Engineer, you will be essential in evaluating and enhancing the product from the user’s perspective across various domains, including MLOps, Data Science, and AI application development. Your role will involve simulating real-world scenarios to understand how customers interact with the RHOAI platform and its features.

By embodying the user experience, you will be a first-class citizen in the development process, providing critical insights that influence product development priorities.

Your team will focus on ensuring product-wide quality and delivering an exceptional user experience, leveraging thorough analysis of customer feedback and usability testing. You’ll actively engage in technical design discussions and collaborate closely with product management and stakeholders to identify and prioritize issues that significantly impact users.

Join us to make impactful contributions in a collaborative environment where your expertise will drive the future of our AI-enabled applications across hybrid cloud environments.

What you will do

• Contribute to the architecture, design and testing of the RHOAI platform, ensuring alignment with user experience goals.
• Innovate in the MLOps and AI application development domains by actively participating in upstream communities, sharing insights, and integrating best practices.
• Ensure that functional requirements are met, focusing on delivering a robust and user-friendly experience.
• Practice “testing like a customer” (for Data Scientist and OpenShift Admin personas) by simulating real-world MLOps user experiences, using RHOAI features, especially multiple features in combination.
• Perform usability tests, collaborating closely with software engineers to validate product quality and ensure seamless user interactions.
• Foster a culture of continuous improvement by sharing recommendations and technical knowledge with team members, contributing to a collaborative environment.
• Collaborate with product management and cross-functional teams to analyze and clarify business requirements, ensuring that user needs are at the forefront of development efforts.
• Communicate effectively with stakeholders and team members to provide proper visibility into quality efforts and progress including following up on outstanding issues that impact users.
• Conduct thoughtful and prompt code reviews to maintain high-quality standards and enhance the overall user experience.
• Contribute to automation testing based on findings from exploratory testing of user-impacting issues.

What you will bring

• Experience testing applications in Go or Python, or other language
• Experience in Kubernetes, OpenShift or other cloud-native technologies
• Experience in usability testing or User Experience Design (UXD)
• 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 a fast-paced, ever-changing environment
• Excellent written and verbal communication skills
• Experience building or using AI products. Experience with Red Hat OpenShift AI or OpenDataHub (ODH) or other projects/products: Databricks Data, Vertex AI, Anaconda, Pachyderm, Amazon SageMaker
• Knowledge of the AI and machine learning landscape, including open source communities, GPUs and software vendors
• Understanding of core MLOps concepts

The following will be considered a plus (use for all three):

• While a Bachelor’s degree or higher in computer science or a related discipline is valued, we prioritize practical experience and technical prowess
• Understanding of how Open Source and Free Software communities work
• Experience with development for public cloud services (AWS, GCE, Azure)

About Red Hat

Red Hat is the world’s leading provider of enterprise open source software solutions, using a community-powered approach to deliver high-performing Linux, cloud, container, and Kubernetes technologies. Spread across 40+ countries, our associates work flexibly across work environments, from in-office, to office-flex, to fully remote, depending on the requirements of their role. Red Hatters are encouraged to bring their best ideas, no matter their title or tenure. We’re a leader in open source because of our open and inclusive environment. We hire creative, passionate people ready to contribute their ideas, help solve complex problems, and make an impact.

Diversity, Equity & Inclusion at Red Hat
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Equal Opportunity Policy (EEO)
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