Role Engineering Manager - MLOps & Analytics
at Canonical – Remote 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
Responsibilities Be technically strong while focusing on running an effective team and developing colleagues Develop and review code as a leader, while ensuring the whole team is focused, productive and unblocked Help engineers grow, do meaningful work, and find professional and personal satisfaction Foster a positive culture, facilitate technical delivery, and reflect on strategy and execution with the team Collaborate with other Engineering Managers, product managers, and architects to produce an engineering roadmap with ambitious and achievable goals Be fluent in the programming language, architecture, and components used by the team (e.G., Kubeflow, MLFlow, Feast) Provide code reviews and architectural leadership;
uphold healthy engineering practices, documentation, quality and performance optimization;
ensure fair and clear management of a high-performing team
Qualifications A proven track record of professional software delivery Professional Python development experience, preferably with a track record in open source Strong understanding of the machine learning space, its challenges and opportunities for improvement 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
Additional skills 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 Linux and open-source software Working knowledge of cloud computing Passionate about software quality and testing Experience working on a distributed open source project or community contributions Demonstrated track record of Open Source contributions
What we offer you Distributed work environment with twice-yearly team sprints in person – remote since 2004 Personal learning and development budget of USD 2,000 per year Annual compensation review Performance-driven bonus opportunities Annual holiday leave Maternity and paternity leave Employee Assistance Programme Opportunity to travel to meet colleagues at various locations Priority travel upgrades for long-haul company events
About Canonical Canonical is a pioneering tech firm at the forefront of the global move to open source. As the company that publishes Ubuntu, we are changing the world on a daily basis. We recruit on a general basis and set a very high standard for people joining the company. We expect excellence – in order to succeed, we need to be the best at what we do. Canonical has been a remote-first company since its inception in 2004. Work at Canonical is a step into the future, challenging you to think differently, work smarter, and learn new skills. Canonical provides a unique window into the world of 21st-century digital business. Equal opportunity Canonical is an equal opportunity employer. We are proud to foster a workplace free from discrimination. Diversity of experience, perspectives, and background create a better work environment and better products. Whatever your identity, we will give your application fair consideration.
#J-18808-Ljbffr