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

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

Join Canonical as a Python and Kubernetes Specialist Engineer focused on Data, Workflows, AI/ML, and Analytics solutions. Canonical is a leading provider of open source software and operating systems. Our platform, Ubuntu, is widely used in public cloud, data science, AI, engineering innovation, and IoT. We build open‑source solutions for public and private infrastructure and collaborate across a global distributed team.

Location: This initiative spans multiple time zones. The team will be largely in the same time zone for effective collaboration.

• Develop your understanding of the entire Linux stack, from kernel, networking, and storage, to the application layer.
• Design, build, and maintain solutions that will be deployed on public and private clouds and local workstations.
• Master distributed systems concepts such as observability, identity, and tracing.
• Work with both Kubernetes and machine‑oriented open source applications.
• Collaborate proactively with a distributed team of engineers, designers, and product managers.
• Debug issues and interact publicly with upstream and Ubuntu communities.
• Generate and discuss ideas, and collaborate on finding good solutions.

• Professional or academic software delivery using Python.
• Exceptional academic track record from high school and university.
• Undergraduate degree in a technical subject or a compelling narrative about an alternative chosen path.
• Confidence to respectfully speak up, exchange feedback, and share ideas without hesitation.
• Track record of going above and beyond expectations to achieve outstanding results.
• Passion for technology evidenced by personal projects and initiatives.
• The work ethic and confidence to shine alongside motivated colleagues.
• Professional written and spoken English with excellent presentation skills.
• Experience with Linux (Debian or Ubuntu preferred).
• Excellent interpersonal skills, curiosity, flexibility, and accountability.
• Appreciative of diversity, polite and effective in a multi‑cultural, multi‑national organisation.
• Thoughtfulness and self‑motivation.
• Result‑oriented, with a personal drive to meet commitments.
• Ability to travel twice a year for company events up to two weeks long.

• Proven track record of building highly automated machine learning solutions, data pipelines, or orchestrating workflows for the cloud.
• Hands‑on experience with machine learning libraries or tools.
• Experience with container technologies (Docker, LXD, Kubernetes, etc.).
• Experience with public clouds (AWS, Azure, Google Cloud). Working knowledge of cloud computing.
• Passionate about software quality and testing.
• Experience working on an open source project.

• Distributed work environment with twice-yearly team sprints in person.
• Personal learning and development budget of USD 2,000 per year.
• Annual compensation review.
• Recognition rewards.
• Annual holiday leave.
• Maternity and paternity leave.
• Employee Assistance Programme.
• Opportunity to travel to new locations to meet colleagues.
• Priority Pass and travel upgrades for long‑haul company events.

Entry level

Full-time

Engineering and Information Technology

Software Development

Canonical is an equal opportunity employer. We are proud to foster a workplace free from discrimination. Diversity of experience, perspectives, and background create a better work environment and better products. Whatever your identity, we will give your application fair consideration.