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

Overview

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. Our customers include the world's leading public cloud and silicon providers, and industry leaders in many sectors. The company is a pioneer of global distributed collaboration, with 1000+ colleagues in 70+ countries and very few roles based in offices. Teams meet two to four times yearly in person, in interesting locations around the world, to align on strategy and execution. The company is founder led, profitable and growing.

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.

Location : This initiative spans many teams that are home-based and in multiple time zones. We believe in distributed collaboration but we also try to ensure that colleagues have company during their work hours. Successful candidates will join a team where most members and your manager are broadly in the same time zone so that you have the benefits of constant collaboration and discussion.

Responsibilities

• As a software engineer on the team, 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 ClickHouse. These solutions may be run on servers or on the cloud, on machines or on Kubernetes, on developer desktops, or as web services.
• Develop understanding of the entire Linux stack, from kernel, networking, and storage, to the application layer.
• Design, build and maintain solutions 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.

What we are looking for in you

Additional skills that would be nice to have

What we offer colleagues

About Canonical

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 - in order to succeed, we need to be the best at what we do. Most colleagues at Canonical have worked from home since its inception in 2004. Working here is a step into the future, and will challenge you to think differently, work smarter, learn new skills, and raise your game.

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.

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