Python and Kubernetes Software Engineer - Data, Workflows, AI/ML & Analytics
CanonicalHome based - Worldwide
Remote Full-time
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Experience Level
Experience
Qualifications
The ideal candidate will possess strong expertise in Python and Kubernetes, with a solid understanding of data workflows, AI/ML technologies, and analytics solutions. Familiarity with open-source machine learning tools and experience in ETL processes, data governance, and visualization tools is preferred. A passion for open source development and collaboration in a distributed team environment is essential.
Join Canonical as a Python and Kubernetes Software Engineer, where you will develop cutting-edge open source solutions for data analytics, MLOps, and AI/ML workflows. Collaborate with a global team to create impactful solutions on public and private clouds, utilizing top tools like Kubeflow, MLFlow, and Apache Airflow. Contribute to projects that empower individuals and organizations with the benefits of open source technology.
About Canonical
Canonical is a global leader in open source software, renowned for our widely adopted platform, Ubuntu. We empower enterprises with innovative solutions across public cloud, data science, AI, engineering, and IoT sectors. Our diverse team of over 1000 professionals spans 70+ countries, dedicated to fostering global collaboration and driving technological advancements. Join us in our mission to democratize open source software for everyone.
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