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

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- Data, AI/ML & Analytics role at Canonical

We are hiring Python and Kubernetes Specialist Engineers focused on Data, AI/ML and Analytics Solutions to join our teams building open source solutions for public cloud and private infrastructure. As a software engineer, you will work on end-to-end data analytics and mlops solutions using open-source tools like Kubeflow, MLFlow, DVC, and Feast, among others.

• Develop understanding of the Linux stack from kernel to application layer
• Design, build, and maintain solutions on cloud and local environments
• Master distributed systems concepts such as observability and tracing
• Work with Kubernetes and open source applications
• Collaborate with distributed teams and participate in community interactions

• Experience with Python in software delivery
• Strong academic background and technical degree or equivalent experience
• Excellent communication skills in English
• Experience with Linux (Debian or Ubuntu preferred)
• Interpersonal skills, curiosity, flexibility, and accountability
• Willingness to travel twice a year for company events

• Hands-on experience with machine learning libraries and tools
• Experience with container technologies and cloud providers
• Knowledge of cloud computing and open source projects

• Distributed work environment with team sprints
• Learning and development budget of USD 2,000/year
• Competitive compensation with annual reviews and bonuses
• Benefits including holiday leave, parental leave, and travel opportunities

Canonical is a leader in open source software, known for Ubuntu, serving enterprise, AI, IoT, and cloud markets globally. We promote diversity and equal opportunity in our hiring practices.