Python and Kubernetes Software Engineer

Python and Kubernetes Software Engineer - Data, Workflows, AI/ML & Analytics Join to apply for the Python and Kubernetes Software Engineer - Data, Workflows, AI/ML & Analytics role at Canonical Canonical is a leading provider of open source software and operating systems to the global enterprise and technology markets. Our platform, Ubuntu, is used in breakthrough enterprise initiatives such as public cloud, data science, AI, engineering innovation and IoT. We serve both global enterprises and community users, offering primary work for free and providing Pro subscriptions for individuals at no cost. The company is founder‑led, profitable and growing, with over 1,000 colleagues in more than 70 countries and a largely remote workforce. Teams meet two to four times yearly in person with interesting global locations. 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 will collaborate on end‑to‑end data analytics and MLOps solutions using 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, orchestration tools such as Airflow and Temporal, or data warehouse solutions such as Apache Trino or ClickHouse. These solutions may run on servers, in the cloud, on Kubernetes, on developer desktops, or as web services. Our goal is to enable more people to enjoy the benefits of open source, regardless of circumstances, by making our primary work freely available while supporting paid subscriptions. Location This initiative spans many teams that are home‑based across multiple time zones. We believe in distributed collaboration but also ensure that colleagues stay connected during work hours. Successful candidates will join a team whose members and manager mostly share the same time zone, fostering constant collaboration and discussion. What your day will look like Develop your understanding of the entire Linux stack, from kernel, networking and storage to the application layer Design, build and maintain solutions deployed on public and private clouds and local workstations Master distributed systems concepts such as observability, identity and tracing Work with both Kubernetes and machine‑oriented open‑source applications Collaborate proactively with a distributed team of engineers, designers and product managers Debug issues and interact publicly with upstream and Ubuntu communities Generate and discuss ideas, and collaborate on finding good solutions What we are looking for in you Professional or academic software delivery experience using Python Exceptional academic track record from high school and university Undergraduate degree in a technical subject or a compelling narrative about an alternative chosen path Confidence to respectfully speak up, exchange feedback and share ideas without hesitation Track record of going above and beyond expectations to achieve outstanding results Passion for technology evidenced by personal projects and initiatives Work ethic and confidence to shine alongside motivated colleagues Professional written and spoken English with excellent presentation skills Experience with Linux (Debian or Ubuntu preferred) Excellent interpersonal skills, curiosity, flexibility and accountability Appreciative of diversity, polite and effective in a multi‑cultural, multi‑national organisation Thoughtfulness and self‑motivation Result‑oriented, with a personal drive to meet commitments Ability to travel twice a year for company events up to two weeks long Additional skills that would be nice to have The following skills may be helpful in this role, but we don’t expect everyone to bring all of them. Proven 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 computing Passionate about software quality and testing Experience working on an open source project What we offer colleagues We consider geographical location, experience and performance when shaping compensation worldwide. Compensation is reviewed annually, with more frequent reviews for graduates and associates. In addition to base pay, we offer a performance‑driven annual bonus or commission and a suite of benefits that reflect our values and ideals, balancing local needs and global fairness. Distributed work environment with twice‑yearly team sprints in person Personal learning and development budget of USD 2,000 per year Annual compensation review Recognition rewards Annual holiday leave Maternity and paternity leave Employee Assistance Programme Opportunity to travel to new locations to meet colleagues Priority Pass and travel upgrades for long‑haul company events About Canonical Canonical is a pioneering tech firm at the forefront of the global move to open source. As the publisher of Ubuntu—one of the most important open source projects and the platform for AI, IoT and the cloud—we change the world of software. We recruit globally and set a high standard for new hires, encouraging a culture of excellence. Canonical is an equal opportunity employer We are proud to foster a workplace free from discrimination. Diversity of experience, perspectives and background creates a better work environment and better products. Whatever your identity, we will give your application fair consideration. Referrals increase your chances of interviewing at Canonical by 2x. Software Engineer ID43921 ($2,500 signing bonus) #J-18808-Ljbffr