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

Role overview

You’ll join Canonical as a Python and Kubernetes Specialist Engineer focused on Data, Workflows, AI/ML & Analytics. The team builds open source solutions for public cloud and private infrastructure, delivering end-to-end data analytics and MLOps capabilities using popular machine-learning and data tooling.

Responsibilities

• Develop expertise across the Linux stack, from kernel/networking/storage to the application layer.
• Design, build, and maintain solutions deployed on public/private clouds and local workstations.
• Apply distributed systems concepts such as observability, identity, and tracing.
• Work with Kubernetes and machine-oriented open source applications.
• Collaborate with a distributed team (engineers, designers, product managers), providing proactive input and communication.
• Debug issues and engage publicly with upstream and Ubuntu communities.
• Generate ideas and collaborate on finding effective solutions.

Requirements

• Proven software delivery experience with Python (professional or academic).
• Strong academic background and track record from high school and university.
• Undergraduate degree in a technical field (or a compelling alternative path).
• Confidence to share ideas, exchange feedback, and speak up respectfully.
• Evidence of going above and beyond to achieve outstanding results.
• Passion for technology through personal projects/initiatives.
• Excellent written and spoken English with strong presentation skills.
• Experience with Linux (Debian/Ubuntu preferred).
• Strong interpersonal skills: curiosity, flexibility, accountability, and thoughtfulness.
• Ability to travel up to two weeks, about twice per year.

Nice to have

• Additional skills were referenced but not included in the provided text.