Cloud Data Engineer for AI and Analytics Solutions
5 hours ago
At Canonical, a leading provider of open source software and operating systems to the global enterprise and technology markets, we are seeking a skilled Cloud Data Engineer to join our team. Our platform, Ubuntu, is widely used in breakthrough 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. As a pioneer of global distributed collaboration, we have 1000+ colleagues in 70+ countries, with most roles based at home. Teams meet two to four times yearly in person to align on strategy and execution.
We are hiring a Cloud Data Engineer focused on Data, AI/ML, and Analytics Solutions to build open source solutions for public cloud and private infrastructure. You will collaborate on an end-to-end data analytics and MLOps solution composed of popular, open-source machine learning tools such as Kubeflow, MLFlow, DVC, and Feast.
You may also work on workflow, ETL, data governance, and visualization tools like Apache Super Set, dbt, and Temporal, or data warehouse solutions such as Apache Trino or Click House. Your team will own a solution from the analytics and machine learning space and integrate with other teams to build the world's best end-to-end data platform.
Solutions may be run on servers or on the cloud, on machines or on Kubernetes, on developer desktops, or as web services. We serve both individuals and community members, as well as Global 2000 and Fortune 500 customers, making our primary work available free of charge and our Pro subscriptions available for personal use at no cost.
Our goal is to enable more people to enjoy the benefits of open source, regardless of their circumstances. The ideal candidate will be able to develop their understanding of the entire Linux stack, from kernel to application layer, and design, build, and maintain solutions deployed on public and private clouds and local workstations.
Key responsibilities include working with both Kubernetes and machine-oriented open source applications, collaborating proactively with a distributed team of engineers, designers, and product managers, debugging issues and interacting with upstream and Ubuntu communities, and generating and discussing ideas to find good solutions.
To succeed in this role, you should have a professional or academic background in software delivery using Python or Golang, an exceptional academic track record from high school and university, and relevant technical skills. Confidence to speak up, exchange feedback, and share ideas without hesitation is essential, along with a passion for technology demonstrated through personal projects and initiatives.
A strong work ethic and confidence to shine alongside motivated colleagues, excellent interpersonal skills, flexibility, accountability, appreciation of diversity, politeness, and effectiveness in a multi-cultural, multi-national organization are also necessary. Additionally, thoughtfulness, self-motivation, result-orientation, and ability to travel twice a year for company events are required.
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Kuwait City, Al Asimah Canonical Full timeAbout 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.About the RoleWe are hiring Cloud Software Engineers focused on Data Analytics and AI...
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