Python and Kubernetes Software Engineer – Anywhere

Canonical seeks a Python and Kubernetes Software Engineer to develop data analytics and machine learning solutions using open-source tools such as Kubeflow, MLFlow, and Feast. The role involves working on end-to-end data platforms that can run on various environments, including cloud, local workstations, or servers, and requires collaboration with distributed teams. Candidates should have strong Python skills, Linux experience, and familiarity with Kubernetes and open-source applications. Responsibilities include designing, building, maintaining, and troubleshooting scalable, distributed data solutions across diverse infrastructure. The position demands excellent communication skills, a proactive mindset, and the ability to work effectively within a multicultural, remote team. Travel may be required twice yearly for team events, lasting up to two weeks.