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

Overview Python and Kubernetes Software Engineer - Data, Workflows, AI/ML & Analytics. Canonical is a leading provider of open source software and operating systems. We hire around the world, with most roles remote or distributed across time zones. This initiative spans many teams that are home-based and in multiple time zones. Successful candidates will join a team where most members and your manager are broadly in the same time zone to enable collaboration. Responsibilities Develop understanding of the entire Linux stack, from kernel, networking, and storage, to the application layer Design, build and maintain solutions deployed on public/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 in public with upstream and Ubuntu communities

Generate ideas and collaborate on finding sound solutions What we are looking for in you Professional or academic software delivery using Python Strong academic track record from high school and university Undergraduate degree in a technical subject or a compelling alternative narrative Confidence to speak up, exchange feedback, and share ideas respectfully Proven track record of going above-and-beyond to achieve outstanding results Passion for technology evidenced by personal projects and initiatives Work ethic and confidence to collaborate with motivated colleagues Professional written and spoken English with excellent presentation skills Experience with Linux (Debian/Ubuntu preferred) Excellent interpersonal skills, curiosity, flexibility, and accountability Appreciation of diversity and ability to work in a multi-cultural environment 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 automated ML solutions, data pipelines, or orchestrating cloud workflows Hands-on experience with ML libraries or tools Experience with container technologies (Docker, LXD, Kubernetes) Experience with public clouds (AWS, Azure, Google Cloud) Working knowledge of cloud computing Passionate about software quality and testing Experience contributing to open source projects What we offer Distributed work environment with twice-yearly in-person team sprints Personal learning and development budget of USD 2,000 per year Annual compensation review and performance-driven rewards Comprehensive benefits reflecting company values Annual holiday leave and parental leave Employee Assistance Programme and opportunities to travel to meet colleagues 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

publisher of Ubuntu, we are engaging in AI, IoT and cloud initiatives. We recruit globally and uphold high standards for new hires. Most colleagues have worked from home since 2004. Working here challenges you to think differently, work smarter, and learn new skills. Equal Opportunity Canonical is an equal opportunity employer. We foster a workplace free from discrimination. Diversity of experience and background is valued, and all qualified applicants will receive fair consideration. Job Details Seniority level: Entry level Employment type: Full-time Job function: Engineering and Information Technology Industries: Software Development Note: Referrals may increase your chances of interviewing. This posting may reflect roles in Salamanca, Castilla and Leon, Spain. #J-18808-Ljbffr