Overview Canonical is a leading provider of open source software and operating systems to the global enterprise and technology markets. Our platform, Ubuntu, is widely used in enterprise initiatives such as public cloud, data science, AI, engineering innovation and IoT. The company is founder led, profitable and growing, with 1000+ colleagues in 70+ countries and most roles based remotely.

We hire 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. You may also work on workflow, ETL, data governance and visualization tools, or data warehouse solutions. Your team will own a solution from the analytics and machine learning space and integrate with other teams to build a comprehensive data platform.

These solutions may run on servers or in the cloud, on machines or on Kubernetes, on developer desktops, or as web services.

Location: This initiative spans many teams that are home-based and in multiple time zones. We value distributed collaboration and aim for colleagues to be in the same time zone for constant collaboration and discussion where possible.

Responsibilities Develop understanding of the Linux stack, from kernel and networking to the application layer

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





Master distributed systems concepts such as observability, identity, and tracing

Work with Kubernetes and machine-oriented open source applications

Collaborate with a distributed team of engineers, designers and product managers

Debug issues and interact with upstream and Ubuntu communities

Generate ideas and collaborate on effective solutions

What we are looking for in you Professional or academic software delivery using Python

Strong academic record from high school and university

Undergraduate degree in a technical subject or a compelling alternative narrative

Confidence to respectfully speak up, exchange feedback, and share ideas

Track record of going above and beyond to achieve results

Passion for technology demonstrated by personal projects

Strong work ethic and ability to collaborate with motivated colleagues

Professional written and spoken English with excellent presentation skills

Experience with Linux (Debian or Ubuntu preferred)

Interpersonal skills, curiosity, flexibility, accountability

Appreciation for diversity and ability to work in a multi-cultural, multi-national organization

Thoughtfulness and self-motivation

Result-oriented with commitment to meet objectives





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

Nice to have Hands-on experience with machine learning libraries or tools

Experience building automated machine learning solutions for the cloud

Experience with container technologies (Docker, LXD, Kubernetes, etc.)

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

Working knowledge of cloud computing

Passion for software quality and testing

Experience contributing to an open source project

What we offer Distributed work environment with periodic in-person team sprints

Personal learning and development budget

Annual compensation review

Recognition rewards

Annual holiday leave

Maternity and paternity leave

Employee Assistance Programme

Travel opportunities to meet colleagues

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. We publish Ubuntu, a key open source project and platform for AI, IoT and the cloud. We recruit on a integral basis and maintain high standards for those joining. Most colleagues work from home, and the role offers opportunities to think differently, work smarter, learn new skills, and raise performance.

Canonical is an equal opportunity employer

We are committed to a workplace free from discrimination. Diversity of experience and background contribute to a better environment and better products. All applicants will receive fair consideration.

📌 Python and Kubernetes Software Engineer - Data, AI/ML & Analytics (León)
🏢 Canonical
📍 León