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
• Debug issues and interact with communities

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
• Passion for technology evidenced by personal projects
• Experience with Linux (Debian or Ubuntu preferred)
• Excellent interpersonal skills
• Ability to travel twice a year

Benefits

• Distributed work environment
• 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