canonical
Python and Kubernetes Software Engineer - Data, Workflows, AI/ML & Analytics
At a Glance
- Location
- Home based - Worldwide
- Work Regime
- remote
- Department
- Engineering
- Posted
- 2026-03-31T10:34:16-04:00
Key Requirements
Required Skills
Domain Knowledge
- Cloud
Requirements
Professional or academic software delivery using Python
Experience with Linux (Debian or Ubuntu preferred)
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)
Compensation & Benefits
We consider geographical location, experience, and performance in shaping compensation worldwide. We revisit compensation annually (and more often for graduates and associates) to ensure we recognise outstanding performance. In addition to base pay, we offer a performance-driven annual bonus or commission. We provide all team members with additional benefits, which reflect our values and ideals. We balance our programs to meet local needs and ensure fairness globally.
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
Responsibilities
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
About the Company
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. We expect excellence - in order to succeed, we need to be the best at what we do. 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.