Python And Kubernetes Software Engineer

Python and Kubernetes Software Engineer - Data, Workflows, AI/ML & AnalyticsJoin Canonical as a Python and Kubernetes Specialist Engineer focused on Data, Workflows, AI/ML and Analytics solutions, building open-source projects for public cloud and private infrastructure.LocationThis initiative spans many teams that are home-based and in multiple time zones.Successful candidates will join a team where most members and their manager are broadly in the same time zone so that they have the benefits of constant collaboration and discussion.What your day will look likeDevelop your understanding of the entire Linux stack, from kernel, networking, and storage, to the application layerDesign, build and maintain solutions that will be deployed on public and private clouds and local workstationsMaster distributed systems concepts such as observability, identity, tracingWork with both Kubernetes and machine-oriented open-source applicationsCollaborate proactively with a distributed team of engineers, designers and product managersDebug issues and interact in public with upstream and Ubuntu communitiesGenerate and discuss ideas, and collaborate on finding good solutionsWhat we are looking for in youProfessional or academic software delivery using PythonExceptional academic track record from both high school and universityUndergraduate degree in a technical subject or a compelling narrative about your alternative chosen pathConfidence to respectfully speak up, exchange feedback, and share ideas without hesitationTrack record of going above-and-beyond expectations to achieve outstanding resultsPassion for technology evidenced by personal projects and initiativesThe work ethic and confidence to shine alongside motivated colleaguesProfessional written and spoken English with excellent presentation skillsExperience with Linux (Debian or Ubuntu preferred)Excellent interpersonal skills, curiosity, flexibility, and accountabilityAppreciative of diversity, polite and effective in a multi-cultural, multi-national organisationThoughtfulness and self-motivationResult-oriented, with a personal drive to meet commitmentsAbility to travel twice a year, for company events up to two weeks longAdditional skills that would be nice to haveProven track record of building highly automated machine learning solutions, data pipelines, or orchestrating 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 computingPassionate about software quality and testingExperience working on an open source projectWhat we offer colleaguesDistributed work environment with twice-yearly team sprints in personPersonal learning and development budget of USD 2,000 per yearAnnual compensation reviewRecognition rewardsAnnual holiday leaveMaternity and paternity leaveEmployee Assistance ProgrammeOpportunity to travel to new locations to meet colleaguesPriority Pass, and travel upgrades for long haul company eventsAbout CanonicalCanonical 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 ****.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 employerWe 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.#J-*****-Ljbffr