Python And Kubernetes Software Engineer

OverviewPython and Kubernetes Software Engineer - Data, Workflows, AI/ML & Analytics at Canonical.This initiative spans many teams that are home-based and in multiple time zones.We believe in distributed collaboration but we also try to ensure that colleagues have company during their work hours.Successful candidates will join a team where most members and your manager are broadly in the same time zone so that you have the benefits of constant collaboration and discussion.We are hiring Python and Kubernetes Specialist Engineers focused on Data, Workflows, 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 end-to-end data analytics and MLOps solutions composed of popular, open-source, machine learning tools, such as Kubeflow, MLFlow, DVC, and Feast.You may also work on ETL, data governance and visualization tools like Apache Superset, dbt, workflow orchestration tools such as Airflow and Temporal, or data warehouse solutions such as Apache Trino or ClickHouse.These solutions may be run on servers or on the cloud, on machines or on Kubernetes, on developer desktops, or as web services.Location note: This is a distributed role with teams across time zones.Our primary goal is to enable access to open source benefits to as many people as possible, including individuals using Pro subscriptions at no cost.ResponsibilitiesDevelop understanding of the Linux stack, from kernel, networking, and storage, to the application layerDesign, build and maintain solutions deployed on public/private clouds and local workstationsMaster distributed systems concepts such as observability, identity, 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 finding effective solutionsWhat we are looking forProfessional or academic software delivery using PythonStrong academic record from high school and universityUndergraduate degree in a technical subject or a compelling alternative narrativeConfidence to share feedback and ideas respectfullyTrack record of going above and beyond to achieve resultsPassion for technology evidenced by personal projects and initiativesWork ethic and ability to work with motivated colleaguesProfessional written and spoken English with strong presentation skillsExperience with Linux (Debian or Ubuntu preferred)Interpersonal skills, curiosity, flexibility, and accountabilityAppreciation of diversity and ability to work in a multi-cultural, multi-national organizationThoughtfulness and self-motivationResult-oriented with a drive to meet commitmentsWillingness to travel up to twice a year for company events (up to two weeks)Nice to haveProven track record of building automated ML solutions, data pipelines, or orchestrating workflows for the cloudExperience with ML libraries/toolsExperience with container technologies (Docker, LXD, Kubernetes)Experience with public clouds (AWS, Azure, Google Cloud)Working knowledge of cloud computingStrong software quality and testing mindsetExperience contributing to open source projectsWhat we offerDistributed work environment with twice-yearly in-person team 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 colleaguesTravel upgrades for long-haul company eventsAbout CanonicalCanonical 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