Opportunity overview
What you should know
We checked this opportunity from Canonical. It is listed as Worldwide.
The work location is Home based - Worldwide. Employer-stated compensation: Salary not included in the job posting.
Job description
About this role
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. The company is a pioneer of global distributed collaboration, with 1000+ colleagues in 70+ countries and very few roles based in offices. Teams meet two to four times yearly in person, in interesting locations around the world, to align on strategy and execution. The company is founder led, profitable and growing. We are hiring Python and Kubernetes Specialist Engineers focused on Data, Workflows, 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 end-to-end data analytics and MLOps solutions composed of popular, open-source, machine learning tools, such as Kubeflow, MLFlow, DVC, and Feast. You may also work on ETL, data governance and visualization tools like Apache SuperSet, dbt, workflow orchestration tools such as Airflow and Temporal, or data warehouse solutions such as Apache Trino, or ClickHouse. 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. Our goal is to enable more people to enjoy the benefits of open source, regardless of their circumstances. Location: This initiative spans many teams that are home-based and in multiple time zones. We believe in distributed collaboration but we also try to ensure that colleagues have company during their work hours! Successful candidates will join a team where most members and your manager are broadly in the same time zone so that you have the benefits of constant collaboration and discussion. What your day will look like • 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 • Master distributed systems concepts such as observability, identity, tracing • Work with both Kubernetes and machine-oriented open source applications • Collaborate proactively with a distributed team of engine Job description: Home based - Worldwide
The description, responsibilities and qualifications used for this page and its JobPosting data appear above. Use the application action in the Job snapshot to confirm any later changes before applying.
Why you may be eligible
The source says applicants worldwide may apply. You should still confirm time-zone, work-authorization and experience requirements.
About the employer
Canonical
Canonical publishes Ubuntu and develops open-source technology used across cloud, enterprise, IoT and AI environments.
This opportunity was checked against a direct Canonical careers listing.
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How this listing was checked
- Source status
- Applicant-tracking source confirmed
- Employer or source
- Canonical
- Source checked
- September 8, 2026
- Application destination
- Employer or official applicant-tracking website
- Work setup and location
- Remote · Home based - Worldwide
- Who can apply
- Worldwide · Partially confirmed — review details
- Pay
- Not stated by employer
- Deadline
- Not stated by employer
We check the source and visible requirements, but the employer controls changes and the final hiring decision. Confirm the latest requirements before applying.