Python and Kubernetes Software Engineer - Data, Workflows, AI/ML & Analytics

About the Role

Canonical is seeking Python and Kubernetes Specialist Engineers to join our teams building open-source solutions for public cloud and private infrastructure. You will focus on Data, Workflows, AI/ML, and Analytics, collaborating on end-to-end solutions using tools like Kubeflow, MLFlow, DVC, Feast, Apache SuperSet, dbt, Airflow, Temporal, Trino, and ClickHouse.

What You Will Do

• Develop a deep understanding of the Linux stack, from kernel and networking to the application layer.
• Design, build, and maintain solutions for public/private clouds and local workstations.
• Master distributed systems concepts including 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 engage with upstream and Ubuntu communities.

Requirements

• Professional or academic software delivery experience using Python.
• Exceptional academic track record (high school and university).
• Undergraduate degree in a technical subject or a compelling narrative of an alternative path.
• Experience with Linux (Debian or Ubuntu preferred).
• Strong communication skills: confidence to exchange feedback, share ideas, and present effectively.
• Passion for technology evidenced by personal projects.
• Ability to travel twice a year for company events (up to two weeks long).
• Excellent interpersonal skills, curiosity, and accountability.

Nice to Have

• Proven track record in building automated ML solutions, data pipelines, or workflow orchestration.
• Hands-on experience with ML libraries or tools.
• Experience with container technologies (Docker, LXD, Kubernetes).
• Experience with public clouds (AWS, Azure, Google Cloud).
• Passion for software quality and testing.
• Experience contributing to open-source projects.

What We Offer

• Distributed work environment with twice-yearly in-person team sprints.
• Personal learning and development budget of $2,000 USD per year.
• Annual compensation review and performance-driven bonuses.
• Comprehensive benefits including holiday leave, parental leave, and an Employee Assistance Programme.
• Travel opportunities for company events with travel upgrades.