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

Overview

Canonical is a leading provider of open source software and operating systems to the global enterprise and technology markets. Our platform, Ubuntu, is very widely used in breakthrough enterprise initiatives such as public cloud, data science, AI, engineering innovation and IoT. Our customers include the world's leading public cloud and silicon providers, and industry leaders in many sectors. The company is a pioneer of global distributed collaboration, with 1000+ colleagues in 70+ countries and very few roles based in offices. Teams meet two to four times yearly in person, in interesting locations around the world, to align on strategy and execution.

In Short

• Develop understanding of the entire Linux stack.
• Design, build and maintain solutions for public and private clouds.
• Master distributed systems concepts.
• Work with Kubernetes and machine-oriented open source applications.
• Collaborate with a distributed team of engineers, designers, and product managers.
• Debug issues and interact with upstream and Ubuntu communities.
• Generate and discuss ideas collaboratively.

Requirements

• Professional or academic software delivery using Python.
• Exceptional academic track record.
• Undergraduate degree in a technical subject.
• Confidence to exchange feedback and share ideas.
• Track record of outstanding results.
• Passion for technology evidenced by personal projects.
• Professional written and spoken English.
• Experience with Linux (Debian or Ubuntu preferred).
• Excellent interpersonal skills.
• Ability to travel twice a year for company events.

Benefits

• Distributed work environment with team sprints.
• 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.
• Priority Pass and travel upgrades for company events.