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 (RHOAI) team is looking for an Engineering Manager with Kubernetes and MLOps (Machine Learning) 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 hybrid cloud MLOps platforms, help shape the roadmap of the RHOAI product, participate in open source communities, 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.
The team will focus on product-wide quality and user experience. This team will “test like a customer” by simulating real-world MLOps user experiences. Members of this team will require an understanding of why a customer would use RHOAI features, especially multiple features in combination. As a manager for one of our OpenShift AI teams, you will build, organize, and manage a global team of talented Red Hat engineers. You will lead the team's work and delivery through participation in the team’s technical design discussions and prioritization of the team’s roadmap in coordination with product management and other external stakeholders. You will grow your associates through coaching, performance reviews, career development planning, and more. You should be a strategic thinker who can align open source initiatives with business goals and foster a collaborative and high-performance team culture.
What you will do:Associate Manager
Lead and inspire a distributed team of individual contributors, fostering a collaborative and innovative work environment.
Engage with prominent AI and machine learning open source communities such as KServe, Kubeflow, HuggingFace, and vLLM.
Work with product management and engineering teams to develop technology roadmaps and schedules, and communicate these schedules externally.
Work with cross-functional engineering managers and teams on documentation, product management, and quality assurance to coordinate tasks necessary for releasing enterprise-quality MLOps software.
Working closely with the technical leads and scrum leads to direct the team in agile development.
Mentor and guide team members in their career development, and growth.
Recruit new associates within the growing engineering team.
Manager
Lead and inspire a distributed team of individual contributors, fostering a collaborative and innovative work environment with impact across multiple components of the RHOAI product
Engage with the AI and machine learning open source communities such as KServe, TrustyAI, Kubeflow, HuggingFace, vLLM, and several other open source communities.
Work with product management, customers, engineering teams, and other stakeholders to formulate a product vision and roadmap as well as an execution plan to achieve this vision
Work with cross-functional engineering managers and teams on documentation, product management, and quality assurance to coordinate tasks necessary for releasing enterprise-quality MLOps software.
Working closely with the technical leads and scrum leads to direct the team in agile development.
Mentor and guide team members in their career development, and growth.
Recruit new associates within the growing engineering team.
What you will bring:Associate Manager
Experience building or using AI products. Experience with Red Hat OpenShift AI or OpenDataHub (ODH) or any of these products, is important: Databricks Data, Vertex AI, Anaconda, Pachyderm, Amazon SageMaker
Knowledge of the AI and machine learning landscape, including open source communities, GPUs and software vendors
Strong experience developing applications in Go or Python, or other language
Strong experience in Kubernetes, OpenShift or other cloud-native technologies
Deep understanding of core MLOps concepts
Proven experience in leading machine learning engineering or operations teams, with a track record of successful project delivery and development of software engineers.
Excellent written and verbal communication skills
Ability to lead and work with diverse and distributed teams from multiple countries and cultures
Manager
Strong experience developing applications in Go or Python, or other language
Strong experience in Kubernetes, OpenShift or other cloud-native technologies
Deep understanding of core MLOps concepts
Significant experience in managing machine learning engineering or operations teams, with a sustained track record of successful project delivery and development of software engineers
Excellent written and verbal communication skills
Ability to lead and work with diverse and distributed teams from multiple countries and cultures
The following will be considered a plus:
While a Bachelor’s degree or higher in computer science or a related discipline is valued, we prioritize practical experience and technical prowess
Understanding of how Open Source and Free Software communities work
Experience with development for public cloud services (AWS, GCE, Azure)
Experience working with or deploying MLOps platforms
ISTQB certification - Foundation level or higher
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.
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.
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