Python and Kubernetes Software Engineer

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 such as public cloud, data science, AI, engineering innovation and IoT. The company is founder led, profitable and growing, with 1000+ colleagues in 70+ countries and most roles based remotely. We hire Python and Kubernetes Specialist Engineers focused on Data, 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 an end-to-end data analytics and MLOps solution composed of popular, open-source machine learning tools. You may also work on workflow, ETL, data governance and visualization tools, or data warehouse solutions. Your team will own a solution from the analytics and machine learning space and integrate with other teams to build a comprehensive data platform. These solutions may run on servers or in the cloud, on machines or on Kubernetes, on developer desktops, or as web services.Location: This initiative spans many teams that are home-based and in multiple time zones. We value distributed collaboration and aim for colleagues to be in the same time zone for constant collaboration and discussion where possible.Responsibilities Develop understanding of the Linux stack, from kernel and networking to the application layerDesign, build and maintain solutions deployed on public and private clouds and local workstationsMaster distributed systems concepts such as observability, identity, and tracingWork with Kubernetes and machine-oriented open source applicationsCollaborate with a distributed team of engineers, designers and product managersDebug issues and interact with upstream and Ubuntu communitiesGenerate ideas and collaborate on effective solutionsWhat we are looking for in you Professional or academic software delivery using PythonStrong academic record from high school and universityUndergraduate degree in a technical subject or a compelling alternative narrativeConfidence to respectfully speak up, exchange feedback, and share ideasTrack record of going above and beyond to achieve resultsPassion for technology demonstrated by personal projectsStrong work ethic and ability to collaborate with motivated colleaguesProfessional written and spoken English with excellent presentation skillsExperience with Linux (Debian or Ubuntu preferred)Interpersonal skills, curiosity, flexibility, accountabilityAppreciation for diversity and ability to work in a multi-cultural, multi-national organizationThoughtfulness and self-motivationResult-oriented with commitment to meet objectivesAbility to travel twice a year for company events up to two weeksNice to have Hands-on experience with machine learning libraries or toolsExperience building automated machine learning solutions for the cloudExperience with container technologies (Docker, LXD, Kubernetes, etc.)Experience with public clouds (AWS, Azure, Google Cloud)Working knowledge of cloud computingPassion for software quality and testingExperience contributing to an open source projectWhat we offer Distributed work environment with periodic in-person team sprintsPersonal learning and development budgetAnnual compensation reviewRecognition rewardsAnnual holiday leaveMaternity and paternity leaveEmployee Assistance ProgrammeTravel opportunities to meet colleaguesTravel upgrades for long-haul company eventsAbout Canonical Canonical is a pioneering tech firm at the forefront of the global move to open source. We publish Ubuntu, a key open source project and platform for AI, IoT and the cloud. We recruit on a global basis and maintain high standards for those joining. Most colleagues work from home, and the role offers opportunities to think differently, work smarter, learn new skills, and raise performance.Canonical is an equal opportunity employerWe are committed to a workplace free from discrimination. Diversity of experience and background contribute to a better environment and better products. All applicants will receive fair consideration.#J-18808-Ljbffr