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 Software Engineer focused on data, workflows, AI/ML, and analytics solutions. Canonical is a leading provider of open source software and operating systems, with its flagship product Ubuntu widely used in public cloud, data science, and IoT. The role involves building open‑source solutions across public and private infrastructure.

Location: This role supports distributed, home‑based teams across multiple time zones. Successful candidates will join a team where most members and their manager are broadly in the same time zone for effective collaboration.

• Develop a comprehensive understanding of the entire Linux stack, from kernel and networking to storage and application layer.
• Design, build and maintain solutions deployed on public and private clouds and local workstations.
• Master distributed systems concepts such as observability, identity, and tracing.
• Work with 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, discuss ideas and collaborate on finding good solutions.

• Professional or academic software delivery experience using Python.
• Strong academic background from high school to university (or compelling alternative path).
• Undergraduate degree in a technical subject or equivalent experience.
• Confidence to speak up, exchange feedback, and share ideas.
• Track record of exceeding expectations to achieve outstanding results.
• Passion for technology evidenced by personal projects and initiatives.
• Professional written and spoken English with excellent presentation skills.
• Experience with Linux (Debian or Ubuntu preferred).
• Excellent interpersonal skills, curiosity, flexibility, and accountability.
• Appreciation for diversity and effective in multi‑cultural, multi‑national environments.
• Self‑motivation, thoughtfulness, and result‑orientation.
• Ability to travel twice a year for company events up to two weeks.

• Experience building automated machine‑learning solutions, data pipelines, or orchestrating cloud workflows.
• Hands‑on experience with machine‑learning libraries or tools.
• Experience with container technologies (Docker, LXD, Kubernetes).
• 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 (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.
• 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, we change the world of software. Canonical recruits on a global basis and sets a very high standard for people joining the company, expecting excellence from all colleagues.

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