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

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About This Role

Canonical, the publisher of Ubuntu and a provider of open source software for enterprise and technology markets, is hiring Python and Kubernetes Specialist Engineers. This fully remote role focuses on data, workflows, artificial intelligence, machine learning, and analytics solutions deployed across public clouds, private infrastructure, local workstations, and servers. Engineers will collaborate on end-to-end data analytics and MLOps platforms utilizing tools such as Kubeflow, MLFlow, Apache Airflow, Temporal, Apache Trino,…

Job Description

Responsibilities

• Build an understanding of the full Linux stack ranging from the kernel, networking, and storage up to the application layer
• Design, create, and maintain solutions deployed on local workstations as well as public and private clouds
• Master distributed systems principles covering observability, identity, and tracing
• Engage with Kubernetes and machine-oriented open source applications
• Collaborate actively alongside a distributed group of engineers, product managers, and designers
• Investigate and debug technical issues while interacting publicly with the Ubuntu and upstream communities
• Brainstorm, discuss ideas, and cooperate to determine effective solutions

Requirements

• Professional or academic software delivery utilizing Python
• Strong academic performance in both high school and university
• Demonstrated ability to speak up respectfully, share ideas, and exchange feedback
• Track record of exceeding expectations to accomplish exceptional outcomes
• Genuine passion for technology demonstrated through personal initiatives and projects
• Strong work ethic and confidence to perform alongside motivated peers
• Professional written and spoken English proficiency along with strong presentation abilities
• Familiarity with Linux, preferably Debian or Ubuntu
• Excellent interpersonal skills coupled with curiosity, accountability, and flexibility
• Appreciation for diversity and polite, effective communication within a multicultural organization
• Self-motivation, thoughtfulness, and a result-oriented drive to fulfill commitments
• Availability to travel twice annually for company events lasting up to two weeks

Qualifications

• Undergraduate degree in a technical field or a compelling narrative regarding an alternative path
• Proven experience building highly automated machine learning solutions, data pipelines, or workflow orchestration for the cloud
• Hands-on practice with machine learning tools and libraries
• Experience utilizing container technologies such as Kubernetes, Docker, and LXD
• Familiarity with public cloud platforms including Google Cloud, AWS, and Azure
• Working knowledge concerning cloud computing
• Dedication to software testing and quality
• Prior background contributing to open source projects

Core Skills

Benefits

• Distributed work environment featuring biannual in-person team sprints
• Annual personal learning and development budget of USD 2,000
• Yearly compensation reviews
• Performance-driven annual bonus or commission
• Recognition rewards
• Annual holiday leave
• Maternity and parental leave
• Employee Assistance Programme
• Travel opportunities to meet colleagues with Priority Pass and long-haul travel upgrades for company gatherings

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