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

Canonical, the company behind Ubuntu, is seeking a Python and Kubernetes Specialist Engineer focused on Data, AI/ML and Analytics solutions. This role involves working on end-to-end data analytics and MLOps solutions using open-source tools like Kubeflow, MLFlow, DVC, and Feast. You'll be part of a team building solutions for workflow, ETL, data governance, and visualization using tools like Apache SuperSet, dbt, and Temporal.

The position offers a unique opportunity to work with a globally distributed team, with colleagues in 70+ countries. Teams meet in person 2-4 times yearly in various locations worldwide. You'll be working on solutions that serve both individual community members and Fortune 500 companies, making open source technology accessible to everyone.

The role requires deep expertise in Python and Kubernetes, with a focus on building and maintaining solutions for public and private clouds. You'll work across the entire Linux stack, from kernel to application layer, and master distributed systems concepts. The ideal candidate will have strong academic credentials, professional software delivery experience, and a passion for open source technology.

Benefits include a personal learning budget of $2,000 annually, regular compensation reviews, and comprehensive benefits. The company culture emphasizes distributed collaboration, excellence, and innovation. As a pioneer in remote work since 2004, Canonical offers a modern, flexible work environment with opportunities for global travel and professional growth.

This is an excellent opportunity for someone passionate about open source, data analytics, and machine learning, who wants to make a significant impact in the field while working with cutting-edge technologies and a diverse, global team.