Python and Kubernetes Software Engineer - Data, Workflows, AI/ML & Analytics

Canonical is seeking a Python and Kubernetes software engineer to help build open source data, workflow, AI/ML, and analytics solutions for public cloud and private infrastructure. The work involves developing end-to-end analytics and MLOps systems using tools such as Kubeflow, MLflow, DVC, Feast, Airflow, Temporal, dbt, Apache Superset, Trino, and ClickHouse, across environments including servers, cloud, desktops, and Kubernetes. The role suits an engineer with experience in Python, Kubernetes, and open source data platform work who is comfortable collaborating across distributed teams and time zones.