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 Software Engineer focused on data and AI/ML solutions. Canonical is a leading provider of open‑source software and operating systems, with Ubuntu widely used in public cloud, data science, AI, IoT and more.

Canonical, pioneer of global distributed collaboration with 1000+ colleagues in 70+ countries, is profitable and growing. We build open‑source solutions for public cloud and private infrastructure and offer both free and Pro subscriptions to individuals and enterprises.

This initiative spans many teams that are home‑based and in multiple time zones. We believe in distributed collaboration but also ensure company during work hours. Successful candidates will join a team where most members and your manager are broadly in the same time zone.

As a software engineer on the team, you will collaborate on end‑to‑end data analytics and MLOps solutions using tools such as Kubeflow, MLFlow, DVC, Feast, Airflow, Temporal, Apache Superset, dbt, Trino and Click House. You may also work on ETL, data governance, visualization and data‑warehouse solutions, running on servers, cloud, Kubernetes or developer workstations.

• Develop a deep understanding of the Linux stack, from kernel to application layers.
• Design, build and maintain solutions for 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 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 narrative of a compelling alternative path.
• Confidence to speak up, exchange feedback and share ideas without hesitation.
• Track record of exceeding expectations to achieve outstanding results.
• Passion for technology evidenced by personal projects and initiatives.
• 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 drive to meet commitments.
• Ability to travel twice a year, for company events up to two weeks long.

The following skills may be helpful but are not required.

• Proven track record of building highly automated ML solutions, data pipelines or workflow orchestration 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.

We consider geographical location, experience and performance in shaping compensation worldwide. In addition to base pay, we offer a performance‑driven annual bonus or commission. Our benefits reflect our values.

• Distributed work environment with twice‑yearly team sprints in person.
• Personal learning and development budget of USD 2,000 per year.
• Annual compensation review.
• Recognition rewards.
• Annual holiday leave. Hybrid? sorry but not included.
• 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 publisher of Ubuntu, we power AI, IoT and cloud computing worldwide. We recruit globally, set high standards and expect excellence. Most colleagues work from home since 2004, fostering a future‑forward workplace that challenges you to think differently and grow your skills.

Canonical is an equal‑opportunity employer. We 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.