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A leading open source software company is seeking a Python and Kubernetes Software Engineer to work on Data, Workflows, AI/ML, and Analytics Solutions. The ideal candidate will have a strong background in Python and a passion for technology. This role offers a distributed work environment, competitive learning budget, and opportunities for personal development.
Home based - Worldwide
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.
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.
Responsibilities:
Requirements:
What we offer:
Canonical is an equal opportunity employer.
* The salary benchmark is based on the target salaries of market leaders in their relevant sectors. It is intended to serve as a guide to help Premium Members assess open positions and to help in salary negotiations. The salary benchmark is not provided directly by the company, which could be significantly higher or lower.