Engineering Manager - MLOps & Analytics
at Canonical Group
Posted: 2-13-2025
Remote
Information Technology and Computer Science
$101,190/year
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About this Career
Software Developers
Skills
Automated Machine Learning, Code Review, Software Quality (SQA/SQC), Management, Microsoft Azure, Docker (Software), Kubernetes, Influencing Skills, Linux, MLOps (Machine Learning Operations), Python (Programming Language), Mentorship, Leadership, MLflow, Open Source Technology, Team Processes, Engineering Management, Public Cloud, Machine Learning, Virtual Teams, Open-Source Software, Operations, Architectural Leadership, Amazon Web Services, Kubeflow, Google Cloud Platform (GCP)
Job Description
Engineering Manager - MLOps & Analytics
Canonical - Jobs
Waterloo, ON
Posted 1 day ago | Updated 7 hours ago
Overview
Remote
On Site
Full Time
Skills
Collaboration
Roadmaps
Fluency
Leadership
Documentation
As-is Process
Analytics
Mentorship
Management
Python
Machine Learning Operations (ML Ops)
14 Job Details
Job Description
Job Description
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 themunity. 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, andponents 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. Themitment 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 vibrantmunity 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 Additional skills that you might also bring The following skills may be helpful to you in the role, but we don't expect everyone to bring all of them. 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 cloudputing Passionate about software quality and testing Experience working on a distributed team on an open source project -- even if that ismunity open source contributions. Demonstrated track record of Open Source contributions What we offer you We consider geographical location, experience, and performance in shapingpensation worldwide. We revisitpensation annually (and often for graduates and associates) to ensure we recognise outstanding performance. In addition to base pay, we offer a performance-driven annual bonus. We provide all team members with additional benefits, which reflect our values and ideals. We balance our programs to meet local needs and ensure fairness globally. Distributed work environment with twice-yearly team ss in person - we've been working remotely since 2004! Personal learning and development budget ofUSD 2,000
per year Annualpensation 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 haulpany events About Canonical Canonical is a pioneering tech firm that is at the forefront of the global move to open source. As thepany that publishes Ubuntu, one of the most important open source projects and the platform for AI, IoT and the cloud, we are changing the world on a daily basis. We recruit on a global basis and set a very high standard for people joining thepany. We expect excellence - in order to succeed, we need to be the best at what we do. Canonical has been a remote-firstpany since its inception in 2004. Work at Canonical is a step into the future, and will challenge you to think differently, work smarter, learn new skills, and raise your game. Canonical provides a unique window into the world of 21st-century digital business. 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. #LI-remote Employers have access to artificial intelligence language tools ("AI") that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.Dice Id:
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84cf41bf1 Posted 1 day agoOther Job Posting Details
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Minimum
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$61,050/yr
$133,110/yr