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

Canonical, the company behind Ubuntu, is seeking Python and Kubernetes Specialist Engineers to join their innovative data and AI solutions team. As a key player in open source software, we're building cutting-edge solutions for public cloud and private infrastructure.

In this role, you'll work with an end-to-end data analytics and MLOps solution, utilizing popular open-source tools like Kubeflow, MLFlow, DVC, and Feast. You'll also engage with workflow tools, ETL, data governance, and visualization tools such as Apache SuperSet, dbt, and Temporal, along with data warehouse solutions like Apache Trino and ClickHouse.

We're a globally distributed company with 1000+ colleagues across 70+ countries, emphasizing remote collaboration while maintaining strong team connections. Teams meet in person 2-4 times yearly in various global locations to align on strategy and execution.

What makes this role unique is our commitment to open source and accessibility. Our solutions serve both individual community members and Fortune 500 companies, with our primary work available free of charge. You'll be part of a team that values excellence, distributed collaboration, and meaningful impact in the open-source community.

The ideal candidate will have strong Python or Golang experience, exceptional academic credentials, and a deep understanding of Linux systems. You'll work on designing and maintaining solutions for public and private clouds, master distributed systems concepts, and collaborate with a diverse, global team of engineers.

We offer a comprehensive benefits package, including a personal learning budget, annual compensation reviews, and the opportunity to work with cutting-edge technology. Join us in shaping the future of open source technology and be part of a company that's revolutionizing software development while maintaining a flexible, distributed work environment.