Join us as a Python and Kubernetes Software Engineer - Data, Workflows, AI/ML & Analytics at Canonical.
We are seeking talented engineers to develop end-to-end data analytics and MLOps solutions using open-source tools like Kubeflow, MLFlow, DVC, and Feast. The role involves working on ETL, data governance, visualization, workflow orchestration, and data warehousing solutions across various environments including cloud, Kubernetes, and local servers.
Our ideal candidate is experienced in Python, Linux, and distributed systems, with a passion for open source and innovative technology solutions. This position offers a chance to work in a globally distributed team, contributing to impactful open source projects that serve a diverse customer base.
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