Python and Kubernetes Software Engineer - Data, AI/ML & Analytics Python and Kubernetes Software Engineer - Data, AI/ML & Analytics Python and Kubernetes Software Engineer - Data, AI/ML & Analytics Python and Kubernetes Software Engineer - Data, AI/ML & Analytics Get AI-powered advice on this job and more exclusive features.

Canonical is a leading provider of open source software and operating systems to the global enterprise and technology markets. Our platform, Ubuntu, is very widely used in breakthrough enterprise initiatives such as public cloud, data science, AI, engineering innovation and IoT. Our customers include the world's leading public cloud and silicon providers, and industry leaders in many sectors.

Python and Kubernetes Specialist Engineers focused on Data, AI/ML and Analytics Solutions to join our teams building open source solutions for public cloud and private infrastructure. As a software engineer on the team, you'll collaborate on an end-to-end data analytics and mlops solution composed of popular, open-source, machine learning tools, such as Kubeflow, MLFlow, DVC, and Feast. You may also work on workflow, ETL, data governance and visualization tools like Apache SuperSet, dbt, and Temporal, or data warehouse solutions such as Apache Trino, or ClickHouse.

Your team will own a solution from the analytics and machine learning space, and integrate with the solutions from other teams to build the world's best end-to-end data platform. These solutions may be run on servers or on the cloud, on machines or on Kubernetes, on developer desktops, or as web services. We serve the needs of individuals and community members as much as the needs of our Global 2000 and Fortune 500 customers; we make our primary work available free of charge and our Pro subscriptions are also available to individuals for personal use at no cost.

This initiative spans many teams that are home-based and in multiple time zones.



Develop your understanding of the entire Linux stack, from kernel, networking, and storage, to the application layer

Design, build and maintain solutions that will be deployed on public and private clouds and local workstations

Debug issues and interact in public with upstream and Ubuntu communities

Professional or academic software delivery using Python

Exceptional academic track record from both high school and university

Undergraduate degree in a technical subject or a compelling narrative about your alternative chosen path

Passion for technology evidenced by personal projects and initiatives

Professional written and spoken English with excellent presentation skills

Experience with Linux (Debian or Ubuntu preferred)

Appreciative of diversity, polite and effective in a multi-cultural, multi-national organisation

Result-oriented, with a personal drive to meet commitments

Ability to travel twice a year, for company events up to two weeks long

Hands-on experience with machine learning libraries, or tools.

Proven track record of building highly automated machine learning solutions for the cloud.

Experience with public clouds (AWS, Azure, Google Cloud)

Passionate about software quality and testing

Experience working on an open source project

Personal learning and development budget of USD 2,000 per year

Annual holiday leave

Maternity and paternity leave

Employee Assistance Programme

Opportunity to travel to new locations to meet colleagues

Priority Pass, and travel upgrades for long haul company events

As the company 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 of software. Most colleagues at Canonical have worked from home since its inception in 2004. Working here is a step into the future, and will challenge you to think differently, work smarter, learn new skills, and raise your game. Diversity of experience, perspectives, and background create a better work setting and better products.

📌 Python Software Engineer - Data (Quebec City)
🏢 Canonical
📍 Quebec City