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

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 enterprise initiatives including public cloud, data science, AI, engineering innovation and IoT. Our customers include leading cloud providers and industry leaders. The company operates globally with 1000+ colleagues in 70+ countries in a distributed model with few roles based in offices. Teams meet two to four times per year in person to align on strategy and execution.

We are hiring Python and Kubernetes Specialist Engineers focused on Data, Workflows, AI / ML and Analytics Solutions to join teams building open source solutions for public cloud and private infrastructure. As a software engineer on the team, you'll collaborate on end-to-end data analytics and MLOps solutions using open-source ML 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 (Airflow and Temporal), or data warehouse solutions such as Apache Trino or ClickHouse. These solutions may run on servers or in the cloud, on machines or on Kubernetes, on developer desktops, or as web services. We serve individuals and communities as well as Global 2000 and Fortune 500 customers, and offer free primary work while Pro subscriptions are available for personal use at no cost. Our goal is to enable more people to enjoy the benefits of open source, regardless of circumstances.

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

What your day will look like

• 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 Kubernetes and machine-oriented open source applications
• Collaborate 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

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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