Software Engineer

Job Summary:
Are you ready to join a game-changing open-source AI platform that harnesses the power of hybrid cloud to drive innovation?
The Red Hat OpenShift AI team is looking for a Machine Learning or Software Engineer with Kubernetes and MLOps (Machine Learning Operations) experience to join our rapidly growing engineering team.
Our focus is to create a platform, partner ecosystem, and community by which enterprise customers can solve problems to accelerate business success using AI.
This is a very exciting opportunity to build and impact the next generation of MLOps platforms, participate in open source communities, contribute to the development of the OpenShift AI product, and be at the forefront of the exciting evolution of AI.
You'll join an ecosystem that fosters continuous learning, career growth, and professional development.
In this role, you will have the opportunity to work within a talented team of engineers, contributing to Ray () on OpenShift AI while helping the team to deliver on its vision and roadmap.
We're looking for an individual contributor who is open to working in a team that promotes a positive supporting culture, collaborating closely with their peers and cross-functional teams.
Embracing an upstream first mentality, you should have a passion for working in open-source communities and for developing solutions that integrate Red Hat, open-source, and partner technologies into a cohesive experience.
What you will do
Innovate in the model training, fine tuning and data processing domain within OpenShift AI through the use of Ray components such as KubeRay () , Ray Train () and Ray Data ()
Play a supporting role in the delivery of team roadmap features and initiatives
Contribute to a culture of continuous improvement by sharing recommendations and technical knowledge with team members
Collaborate with other engineering and cross-functional teams to analyze and clarify business requirements
Communicate effectively to the team members to ensure proper visibility of development efforts
Give thoughtful and prompt code reviews
Ensure non-functional requirements including security, resiliency, and maintainability are met
Use CI/CD best practices to deliver solutions as productization efforts into OpenShift AI
What you will bring
Experience in
Kubernetes, OpenShift or other cloud-native technologies
Ability to quickly learn and guide others on using new tools and technologies
Innovation skills and a passion for technology
Autonomous work ethic, thriving in a dynamic, fast-paced environment.
Excellent written and verbal communication skills
A willingness to proactively utilize AI-assisted development tools (e.g., GitHub Copilot, Cursor, Claude Code) for code generation, auto-completion, and intelligent suggestions to accelerate development cycles and enhance code quality.
Open to exploring and experimenting with emerging AI technologies relevant to software development, proactively identifying opportunities to incorporate new AI capabilities into existing workflows and tooling.
The following will be considered a plus:
Experience working with Ray
While a Bachelor's degree or higher in computer science or a related discipline is valued, we prioritize practical experience and technical prowess
Machine Learning/Data Science experience
Understanding of how Open Source communities work
Experience with development for public cloud services (AWS, GCE, Azure)
Experience working with or deploying MLOps platforms
Experience with technologies and projects such as Kubeflow, Ray, Hugging Face, Llama Stack
Experience writing Kubernetes/OpenShift controllers and operators
Experience writing DSLs in Python or other languages
Experience with distributed systems (especially those that run on Kubernetes) and troubleshooting them
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About Red Hat
Red Hat (/) is the world's leading provider of enterprise open source () software solutions, using a community-powered approach to deliver high-performing Linux, cloud, container, and Kubernetes technologies.
Spread across 40+ countries, our associates work flexibly across work environments, from in-office, to office-flex, to fully remote, depending on the requirements of their role.
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.
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 different 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 that compose our global village.
Equal Opportunity Policy (EEO)
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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.
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