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:
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.
What you will bring:
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
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 tec nical 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
#LI-MD2The salary range for this position is $142,140.00 - $234,500.00. Actual offer will be based on your qualifications.Pay TransparencyRed Hat determines compensation based on several factors including but not limited to job location, experience, applicable skills and training, external market value, and internal pay equity. Annual salary is one component of Red Hat’s compensation package. This position may also be eligible for bonus, commission, and/or equity. For positions with Remote-US locations, the actual salary range for the position may differ based on location but will be commensurate with job duties and relevant work experience.About Red HatRed Hat (https://www.redhat.com/) is the world’s leading provider of enterprise open source (https://www.redhat.com/en/about/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.Benefits● Comprehensive medical, dental, and vision coverage● Flexible Spending Account - healthcare and dependent care● Health Savings Account - high deductible medical plan● Retirement 401(k) with employer match● Paid time off and holidays● Paid parental leave plans for all new parents● Leave benefits including disability, paid family medical leave, and paid military leave● Additional benefits including employee stock purchase plan, family planning reimbursement, tuition reimbursement, transportation expense account, employee assistance program, and more!Note: These benefits are only applicable to full time, permanent associates at Red Hat located in the United States.Diversity, Equity & Inclusion at Red HatRed 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.Red Hat does not seek or accept unsolicited resumes or CVs from recruitment agencies. We are not responsible for, and will not pay, any fees, commissions, or any other payment related to unsolicited resumes or CVs except as required in a written contract between Red Hat and the recruitment agency or party requesting payment of a fee.Red Hat supports individuals with disabilities and provides reasonable accommodations to job applicants. If you need assistance completing our online job application, email application-assistance@redhat.com . General inquiries, such as those regarding the status of a job application, will not receive a reply.
