Python And Kubernetes Software Engineer

Python and Kubernetes Software Engineer – Data, Workflows, AI/ML & AnalyticsCanonical's open-source platform powers enterprise AI, data science, and cloud services.Join us to build end-to-end analytics and MLOps solutions using Kubeflow, MLFlow, DVC, Feast, Airflow, Temporal, Superset, dbt, Trino, ClickHouse, and Kubernetes.LocationDistributed collaboration.Most team members and managers are in the same time zone to facilitate constant interaction.Travel to company events up to two weeks is expected.What your day will look likeDevelop a deep understanding of the Linux stack from kernel and networking to application layersDesign, build and maintain solutions that run on public and private clouds, local workstations, and Kubernetes clustersMaster distributed-systems concepts such as observability, identity, and tracingWork with Kubernetes and machine-oriented open-source applicationsCollaborate proactively with a distributed team of engineers, designers, and product managersDebug issues and engage with upstream projects and the Ubuntu communityGenerate and discuss ideas, and collaborate on finding strong solutionsWhat we are looking for in youProfessional software delivery experience using PythonStrong academic record from high school and university, or a compelling narrative of alternative learning pathsUndergraduate degree in a technical subject or an equivalent experienceConfidence to speak up, provide feedback, and share ideas openlyTrack record of exceeding expectations and delivering outstanding resultsPassion for technology demonstrated through personal projects and initiativesStrong work ethic and motivation to thrive alongside motivated colleaguesExcellent written and spoken English with outstanding presentation skillsExperience with Linux (Debian or Ubuntu preferred)Excellent interpersonal skills, curiosity, flexibility, and accountabilityAppreciation for diversity and effective behavior in a multicultural, multinational organizationThoughtfulness, self-motivation, and a drive to meet commitmentsAbility to travel up to two times a year for company events (up to two weeks)Additional skills that would be nice to haveProven track record building highly automated ML solutions, data pipelines, or workflow orchestration for the cloudHands-on experience with ML libraries or toolsExperience with container technologies such as Docker, LXD, KubernetesExperience with public clouds (AWS, Azure, Google Cloud)Working knowledge of cloud computing conceptsPassion for software quality and testingExperience contributing to an open-source projectWhat we offerDistributed work environment with twice-yearly in-person sprintsPersonal 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 open-source movement.As the publisher of Ubuntu, we provide a platform that powers AI, IoT, and cloud services worldwide.We recruit on a global basis and set high standards for people joining the company, expecting excellence in all our work.Canonical is an equal-opportunity employer.We 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