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You will be updated with latest job alerts via emailAre 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 Principal Machine Learning 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. Youll join an ecosystem that fosters continuous learning career growth and professional development.
In this role you will provide key leadership to a talented team of engineers contributing directly to projects such as Kubeflow Ray and MLFlow with a primary focus on delivering fine tuning capabilities across the Red Hat AI product portfolio. Were looking for an individual contributor who is open to leading by example to promote a positive supporting team culture collaborating closely with other developers stakeholders 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 platform.
Play a key leadership role within a talented group of engineers working closely with staff engineers and architects to outline a vision and roadmap for the training and experimentation stack in OpenShift AI
Work closely with the AI Innovation team to help deliver LLM training continual learning and reinforcement learning techniques across our product portfolio
Embrace an upstream first mindset to help our teams become more influential in MLOps focused communities such as Kubeflow
Liaise with stakeholder groups and cross-functional teams to deliver new product features
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
Contribute to a culture of continuous improvement by sharing recommendations and technical knowledge with team members
Collaborate with product management other engineering and cross-functional teams to analyze and clarify business requirements
Communicate effectively to stakeholders and team members to ensure proper visibility of development efforts
Give thoughtful and prompt code reviews
Represent OpenShift AI in external engagements including industry events customer meetings and open source communities
Mentor influence and coach a distributed team of engineers
Advanced experience in Python and Go
Advanced experience developing applications in Kubernetes OpenShift or other cloud-native technologies
Ability to quickly learn adapt and guide others on using new tools and technologies
Proven ability to innovate and a passion for staying at the forefront of technology.
Experience with distributed systems (especially those that run on Kubernetes) and troubleshooting them
Autonomous work ethic thriving in a dynamic fast-paced environment.
Experience providing technical leadership in a global team and delivering on a vision
Excellent written and verbal communication skills
A willingness to proactively utilize AI-assisted development tools such as Cursor and 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:
While a Bachelors degree or higher in computer science or a related discipline is valued we prioritize practical experience and technical prowess
Understanding of how Open Source communities work
Experience working with upstream communities
Familiarity or experience with the MLOps lifecycle with an emphasis on model training
Experience writing Kubernetes/OpenShift controllers and operators
Experience writing SDKs in Python or other languages
About Red Hat
Red Hat is the worlds 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. Were 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 Hats 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)
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.
Required Experience:
Staff IC
Full-Time