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Our platform, Ubuntu, is very widely used in breakthrough enterprise initiatives such as public cloud, data science, AI, engineering innovation and IoT. Our customers include the world's leading public cloud and silicon providers, and industry leaders in many sectors. The company is a pioneer of global distributed collaboration, with 1000+ colleagues in 70+ countries and very few roles based in offices. Teams meet two to four times yearly in person, in interesting locations around the world, to align on strategy and execution.\nThe company is founder led, profitable and growing. 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.\nAs 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.\nWe serve the needs of individuals and community members as much as the needs of our Global 2000 and Fortune 500 customers; we make our primary work available free of charge and our Pro subscriptions are also available to individuals for personal use at no cost. Our goal is to enable more people to enjoy the benefits of open source, regardless of their circumstances.\nLocation: 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.\nWhat your day will look like\nDevelop your understanding of the entire Linux stack, from kernel, networking, and storage, to the application layer\nDesign, build and maintain solutions that will be deployed on public and private clouds and local workstations\nMaster distributed systems concepts such as observability, identity, tracing\nWork with both Kubernetes and machine-oriented open source applications\nCollaborate proactively with a distributed team of engineers, designers and product managers\nDebug issues and interact in public with upstream and Ubuntu communities\nGenerate and discuss ideas, and collaborate on finding good solutions\nWhat we are looking for in you\nProfessional or academic software delivery using Python\nExceptional academic track record from both high school and university\nUndergraduate degree in a technical subject or a compelling narrative about your alternative chosen path\nConfidence to respectfully speak up, exchange feedback, and share ideas without hesitation\nTrack record of going above-and-beyond expectations to achieve outstanding results\nPassion for technology evidenced by personal projects and initiatives\nThe work ethic and confidence to shine alongside motivated colleagues\nProfessional written and spoken English with excellent presentation skills\nExperience with Linux (Debian or Ubuntu preferred) \nExcellent interpersonal skills, curiosity, flexibility, and accountability\nAppreciative of diversity, polite and effective in a multi-cultural, multi-national organisation\nThoughtfulness and self-motivation \nResult-oriented, with a personal drive to meet commitments \nAbility to travel twice a year, for company events up to two weeks long\nAdditional skills that would be nice to have\nThe following skills may be helpful to you in the role, but we don't expect everyone to bring all of them.\nProven track record of building highly automated machine learning solutions, data pipelines, or orchestrating workflows for the cloud.\nHands-on experience with machine learning libraries, or tools.\nExperience with container technologies (Docker, LXD, Kubernetes, etc.)\nExperience with public clouds (AWS, Azure, Google Cloud)\nWorking knowledge of cloud computing\nPassionate about software quality and testing\nExperience working on an open source project\nWhat we offer colleagues\nWe consider geographical location, experience, and performance in shaping compensation worldwide. We revisit compensation annually (and more often for graduates and associates) to ensure we recognise outstanding performance. In addition to base pay, we offer a performance-driven annual bonus or commission. We provide all team members with additional benefits, which reflect our values and ideals. We balance our programs to meet local needs and ensure fairness globally.\nDistributed work environment with twice-yearly team sprints in person\nPersonal learning and development budget of USD 2,000 per year\nAnnual compensation review\nRecognition rewards\nAnnual holiday leave\nMaternity and paternity leave\nEmployee Assistance Programme\nOpportunity to travel to new locations to meet colleagues\nPriority Pass, and travel upgrades for long haul company events\nAbout Canonical\nCanonical 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 2004. Working here is a step into the future, and will challenge you to think differently, work smarter, learn new skills, and raise your game.\nCanonical is an equal opportunity employer\nWe are proud to foster a workplace free from discrimination. Diversity of experience, perspectives, and background create a better work environment and better products. 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