Red hat Software Quality Engineer - Notebooks Waterford 

Ireland 

626695258

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.