About the job:
Are you ready to join a game-changing open source AI platform that harnesses the power of hybrid cloud to drive innovation?
Red Hat OpenShift AI (RHOAI) is seeking exceptional Software Engineers (across all seniority levels) to join our engineering team. This is an extraordinary opportunity to contribute to the development of the RHOAI family of products while participating in open source communities such as Kubeflow, Trusty AI, and Kserve, and be at the forefront of the exciting evolution of AI.
RHOAI delivers a robust set of technologies for Data Scientists and MLops personas such as model development, model serving, data pipelines, Kubeflow components, and Kubernetes operator development and is expanding into other areas at a high pace. By leveraging the combined strength of open source tools, and the recent developments in AI and hybrid cloud, we deliver unmatched value to our partners and customers.
The future of AI is open, presenting extensive opportunities, and RHOAI stands as a strategic focus for Red Hat. You’ll join a team that fosters continuous learning, career growth, and professional development. You’ll have the freedom to rapidly design, secure, build, test, and release groundbreaking AI components.
Are you ready to develop solutions combining open source, hybrid cloud, and AI? Come join the Red Hat OpenShift AI team!

What you will do:

• Collaborate with AI/ML upstream communities to ensure compatibility with OpenShift, evaluate new technologies from partners, and create integration examples with RHOAI
• Integrate new open source AI/ML components into Red Hat OpenShift AI
• Present at OpenShift/Kubernetes, and AI/ML related technology conferences and internally within the AI/ML communities of practice
• Own design reviews and automated testing for major product features and bug fixes. You’ll be responsible for developing test strategies and frameworks, designing and implementing automated tests, creating and carrying out test plans, researching new features, developing automated tests, and maintaining and enhancing test frameworks.
• Serve as an internal advocate for our customers, providing data-driven product quality metrics to all major stakeholders
• Contribute to the development of the Open Data Hub open source project and Red Hat Openshift AI family of products.
• Utilize strong communication skills for cross-company collaboration, engaging with Red Hat engineers, product managers, consultants, and global management teams

What you will bring:

• Experience with AI and Machine Learning platforms such as Kubeflow, Tensorflow or PyTorch
• 7+ years of software quality engineering experience including test automation using object-oriented languages; Python and Golang are preferred
• Extensive experience managing Linux-based systems in a production environment
• Demonstrated expertise in container-related technologies like Docker, Podman, or Kubernetes
• Proficiency in Jenkins or other batch management tools, including the creation of pipelines and the ability to troubleshoot tests using log analysis
• Strong understanding of automated testing at both the API and UI frontend levels
• Proficient in version control systems such as Git

Nice to Haves:

• Experience creating Ansible automation scripts
• Experience with big data storage techniques such as Parquet, Avro, and S3
• Experience with the Robot test framework.
• Understanding of DevOps methodology

The salary range for this position is $127,840 - $169,535. Actual offer will be based on your qualifications.

LI-LS

• Collaborate with AI/ML upstream communities to ensure compatibility with OpenShift, evaluate new technologies from partners, and create integration examples with RHOAI
• Integrate new open source AI/ML components into Red Hat OpenShift AI
• Present at OpenShift/Kubernetes, and AI/ML related technology conferences and internally within the AI/ML communities of practice
• Own design reviews and automated testing for major product features and bug fixes. You’ll be responsible for developing test strategies and frameworks, designing and implementing automated tests, creating and carrying out test plans, researching new features, developing automated tests, and maintaining and enhancing test frameworks.
• Serve as an internal advocate for our customers, providing data-driven product quality metrics to all major stakeholders
• Contribute to the development of the Open Data Hub open source project and Red Hat Openshift AI family of products.
• Utilize strong communication skills for cross-company collaboration, engaging with Red Hat engineers, product managers, consultants, and global management team