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

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

Join Canonical as a Python and Kubernetes Specialist Engineer focused on Data, Workflows, AI/ML and Analytics solutions. 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 public cloud, data science, AI, engineering innovation and IoT.

As a software engineer on the team, you’ll collaborate on end‑to‑end data analytics and MLOps solutions composed of popular open‑source machine learning tools such as Kubeflow, MLFlow, DVC, and Feast. You may also work on ETL, data governance and visualization tools like Apache Superset, dbt, workflow orchestration tools such as Airflow and Temporal, or data warehouse solutions such as Apache Trino or Click House.

These solutions may run on servers or on the cloud, on Kubernetes, on developer desktops, or as web services.

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 broadly in the same time zone to enable constant collaboration.

• Develop your understanding of the entire Linux stack, from kernel, networking and storage to the application layer.
• Design, build and maintain solutions that will be deployed on public and private clouds and local workstations.
• Master distributed systems concepts such as observability, identity and tracing.
• Work with Kubernetes and machine‑oriented open‑source applications.
• Collaborate proactively with a distributed team of engineers, designers and product managers.
• Debug issues and interact in public with upstream and Ubuntu communities.
• Generate and discuss ideas and collaborate on finding good solutions.

• Professional or academic software delivery experience using Python.
• Exceptional academic track record from high school and university.
• Undergraduate degree in a technical subject or a compelling narrative about your alternative chosen path.
• Confidence to respectfully speak up, exchange feedback and share ideas without hesitation.
• Track record of going above-and-beyond expectations to achieve outstanding results.
• Passion for technology evidenced by personal projects and initiatives.
• The work ethic and confidence to shine alongside motivated colleagues.
• Professional written and spoken English with excellent presentation skills.
• Experience with Linux (Debian or Ubuntu preferred).
• Excellent interpersonal skills, curiosity, flexibility and accountability.
• Appreciative of diversity, polite and effective in a multi‑cultural, multi‑national organisation.
• Thoughtfulness and self‑motivation.
• Result‑oriented, with a personal drive to meet commitments.
• Ability to travel twice a year for company events up to two weeks long.

• 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.
• Passionate about software quality and testing.
• Experience working on an open‑source project.

• Distributed work environment with twice‑yearly in‑person 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 to meet colleagues.
• Priority Pass and travel upgrades for long‑haul company events.

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 – to succeed, we need to be the best at what we do.

We are proud to foster a workplace free from discrimination. Diversity of experience, perspectives and background create a better work environment and better products. Whatever your identity, we will give your application fair consideration.