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

Canonical, the company behind Ubuntu, is seeking Python and Kubernetes Specialist Engineers focused on Data, AI/ML and Analytics Solutions. As a software engineer, you'll work on end-to-end data analytics and mlops solutions using open-source tools like Kubeflow, MLFlow, DVC, and Feast. You may also work with workflow, ETL, data governance, and visualization tools. The role involves collaborating with distributed teams, mastering Linux stack and distributed systems concepts, and contributing to both Kubernetes and machine-oriented open source applications. Canonical offers a unique work environment with distributed teams, twice-yearly in-person sprints, and a focus on open source technology. The company serves both individual community members and Fortune 500 customers, aiming to make open source benefits accessible to all. Ideal candidates should have strong Python or Golang skills, exceptional academic records, and a passion for technology. Experience with machine learning, container technologies, and public clouds is a plus. Canonical provides competitive compensation, learning budgets, and various benefits reflecting their values and ideals. Join a pioneering tech firm at the forefront of the global move to open source and be part of shaping the future of software.