Engineering Manager - MLOps & Analytics

Canonical Group - Waterloo, IA

Full-time - Manager

Remote - Waterloo, IA

Professional, Scientific, and Technical Services

About the position

The Engineering Manager at Canonical is responsible for leading a distributed team focused on MLOps and Analytics. This role emphasizes technical leadership, team development, and effective management practices to ensure high performance and productivity. The manager will collaborate with other engineering leaders to create a roadmap for engineering goals, mentor team members, and maintain a positive team culture while overseeing code quality and architectural decisions.

Responsibilities

• Manage a distributed team of engineers and its MLOps/Analytics portfolio
• Organize and lead the team's processes to achieve objectives
• Conduct one-on-one meetings with team members
• Identify and measure team health indicators
• Interact with the community
• Review code produced by other engineers
• Attend conferences to represent Canonical and its MLOps solutions
• Mentor and grow direct reports, helping them achieve professional goals
• Work from home with global travel for 2 to 4 weeks per year for internal and external events

Requirements

• Proven track record of professional experience in software delivery
• Professional Python development experience, preferably with a track record in open source
• Understanding of the machine learning space and its challenges
• Experience designing and implementing MLOps solutions
• Exceptional academic track record from high school and preferably university
• Willingness to travel up to 4 times a year for internal events

Nice-to-haves

• Hands-on experience with machine learning libraries or tools
• Experience building highly automated machine learning solutions for the cloud
• Experience with building machine learning models
• Experience with container technologies (Docker, LXD, Kubernetes, etc.)
• Experience with public clouds (AWS, Azure, Google Cloud)
• Experience in the Linux and open-source software world
• Working knowledge of cloud computing
• Passionate about software quality and testing
• Experience working on a distributed team on an open source project
• Demonstrated track record of Open Source contributions

Benefits

• Performance-driven annual bonus
• Personal learning and development budget of USD 2,000 per year
• Annual compensation review
• Recognition rewards
• Annual holiday leave
• Maternity and paternity leave
• Employee Assistance Programme
• Opportunity to travel to new locations to meet colleagues
• Priority Pass for travel and travel upgrades for long haul company events