Python and Kubernetes Specialist Engineer - Data, AI/ML and Analytics Solutions

Canonical, the company behind Ubuntu, is seeking a Python and Kubernetes Specialist Engineer to join their innovative data and AI solutions team. This role offers a unique opportunity to work on cutting-edge open source solutions for public cloud and private infrastructure.

As a software engineer, you'll be integral to developing end-to-end data analytics and MLOps solutions using popular open-source tools like Kubeflow, MLFlow, DVC, and Feast. The role involves working with workflow tools, ETL, data governance, and visualization tools such as Apache SuperSet, dbt, and Temporal, as well as data warehouse solutions like Apache Trino and ClickHouse.

Canonical offers a truly distributed work environment, with over 1000 colleagues across 70+ countries. The company maintains a strong culture of collaboration, with teams meeting in person 2-4 times yearly in various global locations. This balance of remote work flexibility and personal interaction creates an ideal environment for professional growth and innovation.

The role demands strong Python expertise, exceptional problem-solving skills, and a deep understanding of Linux systems. You'll be working on solutions that serve both individual community members and Fortune 500 companies, making open source technology accessible to all. The position offers comprehensive benefits, including learning budgets, annual compensation reviews, and global travel opportunities.

Working at Canonical means joining a pioneering tech firm that's reshaping the software industry through open source innovation. The company's commitment to excellence, coupled with its distributed work model since 2004, provides a modern and forward-thinking work environment. You'll be challenged to think differently, work smarter, and contribute to projects that have global impact.

The ideal candidate will bring strong Python skills, Linux expertise, and a passion for technology demonstrated through personal projects. Experience with machine learning tools, container technologies, and public cloud platforms is highly valued. Most importantly, you'll need excellent communication skills and the ability to thrive in a diverse, multicultural environment.