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

Python and Kubernetes Software Engineer – Data, Workflows, 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 breakthrough enterprise initiatives such as public cloud, data science, AI, engineering innovation and IoT. We serve individuals and community members as well as Global 2000 and Fortune 500 customers, offering primary work free of charge and Pro subscriptions for personal use.

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

As a software engineer, you will collaborate on end‑to‑end data analytics and MLOps solutions composed of popular open‑source tools such as Kubeflow, MLFlow, DVC, Feast, Airflow, Temporal, Trino, Click House, dbt, Apache Superset, and others. You may also work on ETL, data governance, visualization, and data warehouse solutions on servers, cloud, Kubernetes, developer desktops, or web services.

• 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, tracing.
• Work with both 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 in Python.
• Exceptional academic track record from high school and university.
• Undergraduate degree in a technical subject or a compelling narrative about an 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.
• Strong 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.
• Thoughtful and self‑motivated.
• 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 team sprints in person.
• 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 an equal opportunity employer. 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.