Python and Kubernetes Software Engineer – Anywhere

Canonical is a leading provider of open source software and operating systems to the global enterprise and technology markets. The company develops solutions for public cloud, data science, AI, engineering innovation and IoT, serving major public cloud and silicon providers worldwide. The role involves developing end-to-end data analytics and machine learning pipelines using open source tools like Kubeflow, MLFlow, and Feast, with opportunities to work on workflow, ETL, data governance, and visualisation tools. Candidates should possess strong Python skills, experience with Linux, and a passion for open source projects, demonstrating good problem-solving and collaboration skills. The position supports distributed teams across multiple time zones, promoting a culture of remote collaboration with occasional travel for team events. Technical expertise in distributed systems, Kubernetes, and cloud platforms will be key for success in this role.