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

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

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 public cloud, data science, AI, engineering innovation and IoT initiatives. We are hiring Python and Kubernetes Specialist Engineers focused on Data, Workflows, AI/ML and Analytics Solutions to join teams building open source solutions for public cloud and private infrastructure.

This initiative spans many teams that are home-based across multiple time zones. Successful candidates will join a team where most members and your manager are broadly in the same time zone for effective collaboration.

• Develop an 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, 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 in public 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 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

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 very high standard for people joining the company.

Most colleagues at Canonical have worked from home since its inception in 2004. Working here is a step into the future, and will challenge you to think differently, work smarter, learn new skills, and raise your game.

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.