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What you will do
Define and apply RHOAI policies to ensure our RHOAI components are observable and scalable
Contribute to architecture and design of RHOAI, and provide input that elevates the platform and user experience
Lead the development of new platform technologies and solutions for RHOAI
Use CI/CD best practices to develop and deliver solutions
Participate in upstream communities such as Kubeflow to ensure the technologies work on OpenShift and can be integrated with RHOAI
Present at OpenShift/Kubernetes, and AI/ML related technology conferences and internally within the AI/ML communities of practice
Work with the open source communities to evaluate new AI, ML and big data technologies and create examples of integrations between their technology and RHOAI
Mentor and guide other engineers
What you will bring
Demonstrable expertise in Go (preferred) or Python
Understanding of the Linux operating system
Experience building and deploying container-based applications to include the install/upgrade through our operator
Understanding of how Open Source and Free Software communities work
Moderate understanding of Kubernetes architecture and operators/controllers
Good written and verbal communication skills in English
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