Python and Kubernetes Software Engineer - Data, Workflows, AI/ML & Analytics

Summary

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…

This is a short summary. The full description, and the application form, are on Canonical’s own careers page.

Location

Home based - Worldwide

Salary

Not listed

Role family

DevOps / SRE / Platform / Cloud

Posted

16 Jul 2026 · 93 days ago

Last checked

17 Oct 2026