Python and Kubernetes Software Engineer

Python and Kubernetes Software Engineer - Data, 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 cloud, data science, AI, engineering innovation and IoT. We work with Global 2000 and Fortune 500 customers and operate with distributed teams across many time zones. Most colleagues work remotely with in-person collaboration a few times a year.

Location: This initiative spans many teams that are home-based and in multiple time zones. Successful candidates will join a team where most members and their manager are in the same time zone to enable constant collaboration.

We are hiring Python and Kubernetes Specialist Engineers focused on Data, AI/ML and Analytics Solutions to join our teams building open source solutions for public cloud and private infrastructure.

As a software engineer on the team, you'll contribute to an end-to-end data analytics and MLops solution using open-source tools such as Kubeflow, MLFlow, DVC, and Feast. You may also work on workflow, ETL, data governance and visualization tools like Apache Superset, dbt, and Temporal, or data warehouse solutions such as Apache Trino or ClickHouse. Your team will own a solution from the analytics and machine learning space and integrate with other teams to build an end-to-end data platform. These solutions may run on servers, in the cloud, on Kubernetes, on developer desktops, or as web services.

What we offer: We provide all team members with benefits that reflect our values. We offer a distributed work environment, with twice-yearly in-person team sprints, learning and development budgets, and competitive compensation policies.

About Canonical: Canonical is at the forefront of the global move to open source. We recruit globally and expect excellence. Most colleagues work from home, and we are committed to a diverse, inclusive workplace.

Equal Opportunity: Canonical is an equal opportunity employer. We foster a workplace free from discrimination and will give every applicant fair consideration regardless of identity.

• Professional or academic software delivery using Python
• Strong academic record in high school and university
• Undergraduate degree in a technical subject or a compelling alternative path
• Confidence to speak up, give and receive feedback, and share ideas
• Track record of going above and beyond to achieve results
• Passion for technology evidenced by personal projects
• Strong work ethic and the ability to collaborate with motivated colleagues
• Excellent written and spoken English with strong presentation skills
• Experience with Linux (Debian or Ubuntu preferred)
• Interpersonal skills, curiosity, flexibility, and accountability
• Appreciation for diversity and ability to work in a multi-cultural, multi-national organization
• Self-motivation and thoughtful approach to work
• Result-oriented with a personal drive to meet commitments
• Ability to travel up to twice a year for company events, up to two weeks per trip

• Develop understanding of the Linux stack from kernel to application layer
• Design, build and maintain solutions deployed on public/private clouds and local workstations
• Master distributed systems concepts such as observability, identity, and tracing
• Work with Kubernetes and open-source machine-learning tools
• Collaborate with a distributed team of engineers, designers and product managers
• Debug issues and engage with upstream and Ubuntu communities
• Generate and discuss ideas and contribute to finding effective solutions

• Experience with ML libraries or tools
• Experience building automated ML solutions for the cloud
• Experience with container technologies (Docker, LXD, Kubernetes)
• Experience with public clouds (AWS, Azure, Google Cloud)
• Working knowledge of cloud computing
• Focus on software quality and testing
• Experience contributing to open source projects

• Distributed work environment with twice-yearly in-person team sprints
• Personal learning and development budget of USD 2,000 per year
• Annual compensation review and performance-based rewards
• Holiday leave and family leave policies
• Employee Assistance Programme
• Opportunities to travel to meet colleagues