Red hat Software Engineering Manager OpenShift AI Feature Store 

Ireland 

2292300

Job Summary

In this role, you will manage a new team adding a Feature Store component to OpenShift AI, based on the upstream Feast open source project. 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 with impact across multiple components of the RHOAI product

• Engage with the Feast and Kubeflow 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.

• Evolve cross-team processes as needed to improve execution as the team scales

• 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:

• 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, particularly in feature engineering or model training/tuning

• 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

The salary range for this position is $142,140.00 - $234,500.00. Actual offer will be based on your qualifications.

Pay Transparency

● 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