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

Join to apply for the Python and Kubernetes Software Engineer - Data, AI/ML & Analytics role at Canonical

Canonical is a leading provider of open source software and operating systems to the global enterprise and technology markets. Our platform, Ubuntu, is widely used in enterprise initiatives such as public cloud, data science, AI, engineering innovation, and IoT. Our customers include top public cloud and silicon providers, and industry leaders across sectors. With a founder-led, profitable, and growing company, we hire Python and Kubernetes Specialist Engineers to develop open source solutions for cloud and infrastructure.

• Develop understanding of the Linux stack, from kernel to application layer
• Design, build, and maintain solutions on cloud and local environments
• Work with distributed systems concepts like observability, identity, and tracing
• Collaborate on Kubernetes and open source applications
• Engage with global, distributed teams and communities

• Experience in software delivery using Python
• Strong academic record and technical degree or equivalent experience
• Effective communication skills in English
• Experience with Linux, especially Debian or Ubuntu
• Interpersonal skills, curiosity, flexibility, and accountability
• Willingness to travel twice a year for company events

• Experience with machine learning libraries and cloud solutions
• Knowledge of container technologies and public clouds
• Passion for software quality and open source projects

• Distributed work environment with in-person team sprints
• Learning and development budget of USD 2,000/year
• Performance reviews, recognition rewards, and comprehensive benefits

Canonical pioneers open source innovation, publishing Ubuntu and supporting AI, IoT, and cloud platforms. We are a global, inclusive employer committed to diversity and excellence.