Overview
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 widely used in cloud, data science, AI, engineering innovation and IoT. We hire globally with distributed collaboration and most roles not based in offices. Teams meet in person 2–4 times a year at locations around the world to align on strategy and execution.
The role focuses on building open source solutions for public cloud and private infrastructure, with emphasis on data analytics, workflows, AI/ML and analytics tooling.
What your day will look like
• Collaborate on end-to-end data analytics and MLOps solutions using popular open-source tools such as Kubeflow, MLFlow, DVC, and Feast.
• Work on ETL, data governance and visualization tools like Apache Superset, dbt, and workflow orchestration tools such as Airflow and Temporal.
• Design solutions that may run on servers, in the cloud, on Kubernetes, on developer workstations, or as web services.
Responsibilities
- Develop 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, 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 engage with upstream and Ubuntu communities
- Generate ideas and collaborate on finding effective solutions
What we are looking for in you
- Professional or academic software delivery using Python
- Strong academic track record from high school and university
- Undergraduate degree in a technical subject or a compelling alternative narrative
- Confidence to speak up, exchange feedback, and share ideas respectfully
- Track record of going above and beyond to achieve results
- Passion for technology evidenced by personal projects
- Work ethic and confidence to collaborate with motivated colleagues
- Excellent professional English (written and spoken) and presentation skills
- Experience with Linux (Debian or Ubuntu preferred)
- Strong interpersonal skills, curiosity, flexibility, and accountability
- Appreciation for diversity and ability to work in a multi-cultural, multi-national organization
- Thoughtfulness and self-motivation
- Result-oriented with a drive to meet commitments
- Ability to travel twice a year for company events up to two weeks
Additional skills that would be nice to have
- Proven track record of building automated ML solutions, data pipelines, or orchestrating cloud workflows
- Hands-on experience with ML libraries or tools
- Experience with container technologies (Docker, LXD, Kubernetes, etc.)
- Experience with public clouds (AWS, Azure, Google Cloud)
- Working knowledge of cloud computing
- Passion for software quality and testing
- Experience contributing to open source projects
What we offer colleagues
- Distributed work environment with twice-yearly in-person team sprints
- 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
- Travel upgrades for long-haul company events
About Canonical
Canonical is a pioneering tech firm at the forefront of open source. We publish Ubuntu, a major open source project and platform for AI, IoT and the cloud. We recruit on a global basis and maintain high standards for new hires. Most colleagues have worked from home since 2004. Working here challenges you to think differently, work smarter, and continually learn.
Canonical is an equal opportunity employer
We are proud to foster a workplace free from discrimination. Diversity of experience and background create a better environment and better products. Whatever your identity, we will give your application fair consideration.
Seniority level
- Entry level
Employment type
- Full-time
Job function
- Engineering and Information Technology
Industries
- Software Development
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