Canonical is hiring a
Engineering Manager

Summary

The job is for an Engineering Manager at Canonical, a remote-first tech firm that publishes Ubuntu. The role involves managing a distributed team of engineers, conducting one-on-one meetings, reviewing code, attending conferences, mentoring direct reports, and working from home with occasional travel. Requirements include professional experience in software delivery, python development, understanding of machine learning space, MLOps solutions design and implementation, exceptional academic track record, and willingness to travel. Benefits include a performance-driven annual bonus, personal learning budget, compensation review, recognition rewards, holiday leave, maternity/paternity leave, employee assistance program, travel opportunities, and priority pass for travel.

Requirements

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

Responsibilities

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

Preferred Qualifications

• Hands-on experience with machine learning libraries, or tools
• Proven track record of 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 -- even if that is community open source contributions
• 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 from your team and others
• Priority Pass for travel and travel upgrades for long haul company events