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 very widely used in breakthrough enterprise initiatives such as public cloud, data science, AI, engineering innovation and IoT. 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. 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. We serve the needs of individuals and community members as much as the needs of our Global 2000 and Fortune 500 customers; we make our platforms and solutions easily available to anyone who wants to build on top of open principles. Location: This initiative spans many teams that are home-based and in multiple time zones. We believe in distributed work and are committed to a high standard of collaboration. What your day will look like 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 What we are looking for in you Professional or academic software delivery using Python Exceptional academic track record from both 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 Additional skills that would be nice to have Proven track record of building highly automated machine learning solutions, data pipelines, or orchestrated workflows 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 What we offer colleagues We consider geographical location, experience, and performance in shaping compensation worldwide. Benefits include a distributed work environment with twice-yearly team sprints in person, a personal learning and development budget of USD 2,000 per year, annual compensation review, recognition rewards, annual holiday leave, maternity and paternity leave, an Employee Assistance Programme, and Priority Pass and travel upgrades for long haul company events. 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 on a daily basis. Canonical has been a remote-first company since its inception in 2004.