Red hat RHOAI Product Wide Quality Engineering Manager 

Ireland 

254305648

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.

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