Do you want to design and build the tools that enable the creation of the next generation of Foundation Models and Large Language Models (LLMs)? The (RHOAI) engineering team is seeking a Principal Software Engineer with Kubernetes and MLOps experience to join our rapidly growing Openshift AI Platform team. Our team creates the tools necessary for enterprise data science teams to leverage distributed computing infrastructure across the hybrid cloud when training today’s most complex ML models.
In this role, you'll be contributing as an expert on the Openshift AI / ODH Operator and the tools necessary to support it at the enterprise scale. Your contributions will enable bleeding edge platform capabilities to Openshift AI using Kubernetes operators, GitOps, ArgoCD with a security-oriented mindset. This is an extraordinary opportunity to contribute to the development of the RHOAI family of products, participate in open source communities such as, Kubernetes,, and, and be at the forefront of the exciting evolution of AI. The future of the AI industry is open to extensive opportunities, and RHOAI is a strategic investment area for Red Hat. You'll join an ecosystem that fosters continuous learning, career growth, and professional development. This hands-on experience is a great way for you to get first-hand exposure to the AI landscape. Are you ready to start developing new solutions that combine open source, hybrid cloud, and AI? Join the Red Hat OpenShift AI team!
What you will do
1. Lead Red Hat’s participation in machine learning related upstream communities to ensure the technologies work on OpenShift and can be integrated with RHOAI
2. Architect and lead implementation of scalable open source solutions for Data Scientists to leverage distributed and cloud computing capabilities to train their Machine Learning models, running on OpenShift
3. Act as an MLOps SME within Red Hat by supporting customer facing discussions, presenting at technical conferences, and evangelizing OpenShift AI within the internal community of practice
4. Provide technical vision and leadership on critical and high impact projects
5. Mentor, influence, and coach a distributed team of engineers
6. Present at OpenShift/Kubernetes, and AI/ML related technology conferences and internally within the AI/ML communities of practice
What you will bring
7. Advanced level of experience with Kubernetes
8. Advanced level knowledge and experience in development in Go or Python
9. Experience with DevOps/MLOps
10. Experience deploying models to production using OpenDataHub and Openshift AI is considered as a huge plus
11. Excellent system understanding and troubleshooting capabilities
12. Solid innovation skills and a passion for technology
13. Technical leadership acumen in a global team environment & mentorship experience
14. Passion for writing and maintaining reliable code
15. Excellent written and verbal communication skills; good English language skills
The following will be considered a plus:
16. Bachelor's degree in statistics, mathematics, computer science, operations research, or a related quantitative field, or equivalent expertise; Master’s or PhD
17. Experience in engineering, consulting or another field related to distributed model training or data processing in a customer environment or supporting a data science team
18. Highly experienced in OpenShift
About Red Hat
is the world’s leading provider of enterprise software solutions, using a community-powered approach to deliver high-performing Linux, cloud, container, and Kubernetes technologies. Spread across 40+ countries, our associates have the flexibility to choose the work environment that suits their needs from in-office to fully remote to office-flex. Red Hatters are encouraged to bring their best ideas, no matter their title or tenure. We're a leader in open source because of our open and inclusive environment. We hire creative, passionate people ready to contribute their ideas, help solve complex problems, and make an impact. Opportunities are open. Join us.
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