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

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

Join us at Canonical, a leading provider of open source software and operating systems, to build cutting‑edge open‑source solutions for public cloud and private infrastructure.

• Develop a deep understanding of the Linux stack, from kernel to application layer
• Design, build, and maintain solutions deployed on public and private clouds and local workstations
• Apply distributed systems concepts such as observability, identity, and tracing
• Work with Kubernetes and machine‑oriented open‑source applications (e.g., Kubeflow, MLFlow, DVC, Feast)
• Collaborate proactively with engineers, designers, and product managers across a distributed team
• Debug issues and engage with upstream and Ubuntu communities
• Generate and discuss ideas, and collaborate on finding solutions

• Professional or academic experience delivering software in Python
• Exceptional academic track record (high school and university) or an equally compelling narrative
• Undergraduate degree in a technical subject or a demonstrated alternative path
• Confidence to speak up, exchange feedback, and share ideas without hesitation
• Track record of exceeding expectations to achieve outstanding results
• Passion for technology, evidenced by personal projects and initiatives
• Strong work ethic and the ability 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 organization
• Thoughtful, self‑motivated, and results‑oriented, with 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
• Passion for 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

Canonical is a pioneering tech firm at the forefront of the global move to open source. As the company that publishes Ubuntu, one of the most important open‑source projects and the platform for AI, IoT and the cloud, we are changing the world of software. We recruit on a global basis and set a high standard for people joining the company.

• Seniority level: Entry level
• Employment type: Full‑time
• Job function: Engineering and Information Technology
• Industries: Software Development

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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.