
Cloud Data Engineer for AI and Analytics Solutions
2 days ago
About Canonical
Canonical is a leading provider of open source software and operating systems to the global enterprise and technology markets. Our platform, Ubuntu, is very widely used in breakthrough enterprise initiatives such as public cloud, data science, AI, engineering innovation, and IoT. We 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.
Job Description
We are hiring Cloud Data Engineers to join our teams building open-source solutions for public cloud and private infrastructure. As a Cloud Data Engineer on the team, you'll 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 SuperSet, dbt, and Temporal, or data warehouse solutions such as Apache Trino or ClickHouse. Your team will own a solution from the analytics and machine learning space and integrate with the solutions from other teams to build the world's best end-to-end data platform.
Responsibilities
- Develop your understanding of the entire Linux stack, from kernel, networking, and storage, to the application layer.
- Design, build, and maintain solutions that will be 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 in public with upstream and Ubuntu communities.
- Generate and discuss ideas, and collaborate on finding good solutions.
Requirements
- Professional or academic software delivery using Python.
- Exceptional academic track record from both high school and university.
- Undergraduate degree in a technical subject or a compelling narrative about your 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.
- The 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 organization.
- 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.
Nice to Have
- Hands-on experience with machine learning libraries or tools.
- Proven track record of building highly automated machine learning solutions for the cloud.
- 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
- 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.
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