Company Description
At Red Hat, we connect an innovative community of customers, partners, and contributors to deliver an open source stack of trusted, high-performing solutions. We offer cloud, Linux, middleware, virtualization, and AI technologies, together with award-winning global customer support, consulting, and implementation services. Red Hat is a rapidly-growing company supporting more than 90% of Fortune 500 companies.
Job Summary
At Red Hat, our commitment to open source innovation extends beyond our products - it’s embedded in how we work and grow. Red Hatters embrace change – especially in our fast-moving technological landscape – and have a strong growth mindset. That’s why we encourage our teams to proactively, thoughtfully, and ethically use AI to simplify their workflows, cut complexity, and boost efficiency. This empowers our associates to focus on higher-impact work, creating smart, more innovative solutions that solve our customers’ most pressing challenges.
Red Hat’s Global Engineering team is looking for an experienced Quality Engineer to join the Agentic and AI Engineering Tools team. In this role, you’ll contribute directly to Red Hat’s rapidly growing AI/ML family of products and will be responsible for developing and maintaining test strategies and frameworks, designing and implementing automated tests, and closely supporting DevOps and Release Engineers. Quality engineers in this role will participate in standard quality practices design reviews, automated testing, and productization for major product features and bug fixes. In addition, you may have to consider novel ways for testing non-deterministic systems and code, as well as pay close attention to potential sources of bias that may be introduced during model build and training.
The ideal candidate will be a highly collaborative individual with a passion for working on complex projects in an open organization where contributions are valued and expected from all levels. This job role will require engaging in upstream open source communities. As this is a fast-moving area of opportunity for Red Hat, the ability to communicate productively and effectively with team members, stakeholders, and Red Hat leadership is critical.
This hybrid position reports directly to the Manager of Software Engineering. You must have the ability to partner collaboratively in our Waterford, Ireland office at least 3 days per week.

What you will do:

• Collaboratively develop, implement, champion, and maintain an evolving automation test strategy and framework.
• Partner with Product Management, User Experience, and Engineering to identify and incorporate customer needs and use cases into testing strategies and feature designs.
• Advocate for the resolution of critical issues and communicate the impact on customers to the development team(s).
• Monitor and participate in upstream AI/ML communities, evaluating new AI/ML-related technologies in the space and considering potential integrations and collaborations upstream.
• Run technical initiatives that grow, improve, and scale our existing processes.
• Regularly communicate with project stakeholders including other teams of Red Hat engineers, product managers, consultants, management, and senior leadership.
• Explore and experiment with emerging AI technologies relevant to software development, proactively identifying opportunities to incorporate new AI capabilities into existing workflows and tooling.
• Leverage AI-driven testing frameworks to automate test case generation, optimize test execution, identify potential edge cases, and enhance overall test coverage and reliability.

What you will bring:

• 3+ years of experience as a Software Quality Engineer, Software Development Engineer in Test, DevOps Engineer, or similar role.
• Advanced experience scripting and creating automation in Python and Bash.
• Experience testing distributed and containerized environments.
• Experience implementing scalable automation frameworks in collaboration with Software, DevOps, and Release Engineers.
• Experience creating automation for GitHub, using GitHub Actions or related continuous integration tools.
• Experience developing unit, functional, and end-to-end (E2E) test cases and automation.
• Ability to quickly learn and use new tools and technologies.

Nice to Haves

• Experience working with Kubernetes/OpenShift and containers.
• Experience with AI and Machine Learning platforms, tools, and frameworks, such as PyTorch, LLaMA.cpp, vLLM, Kubeflow, and Docling.
• Experience with hardware accelerators such as CUDA and ROCm.
• Understanding of DevOps methodology, Scrum, and/orJira.
• Bachelor’s degree or higher in computer science or related discipline, or equivalent years of experience.

LI-PM1

• Collaboratively develop, implement, champion, and maintain an evolving automation test strategy and framework.
• Partner with Product Management, User Experience, and Engineering to identify and incorporate customer needs and use cases into testing strategies and feature designs.
• Advocate for the resolution of critical issues and communicate the impact on customers to the development team(s).
• Monitor and participate in upstream AI/ML communities, evaluating new AI/ML-related technologies in the space and considering potential integrations and collaborations upstream.
• Run technical initiatives that grow, improve, and scale our existing processes.
• Regularly communicate with project stakeholders including other teams of Red Hat engineers, product managers, consultants, management, and senior leadership.
• Explore and experiment with emerging AI technologies relevant to software development, proactively identifying opportunities to incorporate new AI capabilities into existing workflows and tooling.
• Leverage AI-driven testing frameworks to automate test case generation, optimize test execution, identify potential edge cases, and enhance overall test coverage and reliability