Engineering Manager - MLOps & Analytics

The role of an Engineering Manager at Canonical

As an Engineering Manager at Canonical, you must be technically strong, but your main responsibility is to run an effective team and develop the colleagues you manage. You will develop and review code as a leader, while at the same time staying aware of that the best way to improve the product is to ensure that the whole team is focused, productive and unblocked.

You are expected to help them grow as engineers, do meaningful work, do it outstandingly well, find professional and personal satisfaction, and work well with colleagues and the community. You will also be expected to be a positive influence on culture, facilitate technical delivery, and regularly reflect with your team on strategy and execution.

You will collaborate closely with other Engineering Managers, product managers, and architects, producing an engineering roadmap with ambitious and achievable goals.

We expect Engineering Managers to be fluent in the programming language, architecture, and components that their team uses, in this case popular open-source machine learning tools like Kubeflow, MLFlow, and Feast.

Code reviews and architectural leadership are part of the job. The commitment to healthy engineering practices, documentation, quality and performance optimisation is as important, as is the requirement for fair and clear management, and the obligation to ensure a high-performing team.

Location: This is a Globally remote role.

What your day will look like

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

What we are looking for in you

A proven track record of professional experience of software delivery

Professional python development experience, preferably with a track record in open source

A proven understanding of the machine learning space, its challenges and opportunities to improve

Experience designing and implementing MLOps solutions

An exceptional academic track record from both high school and preferably university

Willingness to travel up to 4 times a year for internal events