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Job Summary
The OS Platform team is looking for a Quality Engineer to work on the integration of RHEL AI into a RHEL based operating system appliance. You will be responsible for bringing all the pieces of RHEL AI together into the end product our customers will consume. The team is also responsible for the administrator experience of installing, updating and monitoring the RHEL AI operating system. Previous experience with Fedora-based operating systems are highly desirable, and experience with bootc or Image Mode RHEL would be a big plus.
Primary Job Responsibilities
Define and implement automated test strategies and the infrastructure to support them in a manner that enables all team members to contribute to releasing quality software
Execute, monitor results and troubleshoot both automated and manual tests
Collaborate with SW Quality team members outside the immediate team to work toward an integrated testing strategy with best possible coverage and resulting quality
Analyze source code and work with developers to propose appropriate test approaches for all parts of our software; this includes providing feedback on how to make our code more test-friendly
Explore novel approaches to testing RHEL AI software, focusing on all aspects ranging from usability, unwanted behaviors to performance and scalability
Develop and work on the design of test automation frameworks and tools and their integration with the development workflow
Regular communication and feedback about progress to various project stakeholders, such as other Red Hat AI Engineering teams, product managers and management
Required Skills
Experience as a Software Quality Engineer, preferably with building an Operating System, which includes developing test plans
Solid experience scripting and creating automation using Python and Bash
Basic experience with automation in GitHub/GitLab, such as GitHub actions or similar continuous integration tools
Experience with container technologies, such as Kubernetes/OpenShift and Podman
Work experience with DevOps methodologies, scrum and tools, such as Jira
Bonus Skills
Previous experience with hardware acceleration, either generic GPU experience or specific ones, such as CUDA and ROCm
Knowledge of AI/ML and how it might impact approaches to testing
Automation experience using tools such as Ansible
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