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?
The OpenShift AI team is looking for a Software Engineer with Kubernetes and Machine Learning experience to join our rapidly growing engineering team. Our team’s focus is to make machine learning model deployment and monitoring seamless and scalable across the hybrid cloud and the edge. This is a very exciting opportunity to build and impact the next generation of hybrid cloud MLOps platforms.
In this role, you'll be contributing as a core developer for the and Model Serving features of the open-source project by actively participating in Model Registry and other open-source communities. You will work as part of an evolving development team to rapidly design, secure, build, test, and release model registry capabilities. The role is primarily an individual contributor who collaborates closely with other developers and cross-functional teams. You will need to have a passion for working in open-source communities and for developing reference architectures that integrate Red Hat, open-source, and partner technologies into a cohesive platform.
What you will do
1. Contribute to architecture, design, and development of Model Registry project in Kubeflow and OpenShift AI.
2. Innovate in the MLOps domain by participating in upstream communities such as Kubeflow, Kserve, ml-metadata
3. Participate in the development of new features and solutions for OpenShift AI
4. Use CI/CD best practices to deliver solutions as productization efforts into OpenShift AI
5. Present at OpenShift/Kubernetes, and AI/ML-related technology conferences and internally within the AI/ML communities of practice
#LI-AM4
#LI-REMOTE
What you will bring
6. Working experience with Go and or python programming language
7. Ability to quickly learn and use new tools and technologies
8. Experience with Kubernetes or OpenShift
9. Experience with building tools and shell scripting
10. Good experience with source code management tools such as Git
11. Good system understanding and troubleshooting capabilities
12. Understanding of how Open Source and Free Software communities work
13. Excellent written and verbal communication skills; good English language skills
Nice to Haves
14. Experience with core machine learning algorithms and libraries
15. Experience with React or C++
16. Experience with Kubeflow
17. Bachelor's degree or higher in computer science or other related discipline
18. Knowledge of Prometheus monitoring stack
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.
Diversity, Equity & Inclusion at Red Hat
Red Hat’s culture is built on the open source principles of transparency, collaboration, and inclusion, where the best ideas can come from anywhere and anyone. When this is realized, it empowers people from diverse backgrounds, perspectives, and experiences to come together to share ideas, challenge the status quo, and drive innovation. Our aspiration is that everyone experiences this culture with equal opportunity and access, and that all voices are not only heard but also celebrated. We hope you will join our celebration, and we welcome and encourage applicants from all the beautiful dimensions of diversity that compose our global village.
Equal Opportunity Policy (EEO)
Red Hat is proud to be an equal opportunity workplace and an affirmative action employer. We review applications for employment without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, ancestry, citizenship, age, veteran status, genetic information, physical or mental disability, medical condition, marital status, or any other basis prohibited by law.