Python and Kubernetes Software Engineer

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 initiatives such as public cloud, data science, AI, engineering innovation and IoT. The company is founded on collaboration, profitably growing and hiring Python and Kubernetes Specialist Engineers focused on Data, Workflows, AI/ML and Analytics Solutions. Location: Distributed collaboration – the initiative spans many teams across multiple time zones. Successful candidates will join a team whose members and manager are broadly in the same time zone to enable constant collaboration. What your day will look like Develop a deep understanding of the Linux stack, from kernel, networking, and storage to the application layer. Design, build and maintain solutions deployed on public and private clouds, local workstations, or Kubernetes. Master distributed systems concepts such as observability, identity, and 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 publicly with upstream and Ubuntu communities. Generate and discuss ideas, and collaborate on finding good solutions. What we are looking for in you Professional experience delivering Python software. Exceptional academic record from high school and university. Undergraduate degree in a technical subject or a compelling narrative about your alternative path. Confidence to speak up, share feedback and ideas without hesitation. Track record of exceeding expectations and achieving outstanding results. Passion for technology evidenced by personal projects and initiatives. Strong work ethic and confidence to collaborate with motivated colleagues. Excellent written and spoken English with strong 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, self‑motivated and result‑oriented with a 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 building highly automated machine‑learning solutions, data pipelines or orchestrated 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. What we offer colleagues 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. About Canonical Canonical is a pioneering tech firm at the forefront of the global move to open source. Publishing Ubuntu, one of the most important open‑source projects worldwide, we drive transformation in software across AI, IoT and the cloud. We recruit on a global basis, uphold high standards and expect excellence from all team members. Canonical is an equal opportunity employer – we are proud to foster a workplace free from discrimination. Diversity of experience, perspectives and background creates a better work environment and better products. Whatever your identity, we will give your application fair consideration. #J-18808-Ljbffr