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

Python and Kubernetes Software Engineer - Data, AI/ML & Analytics
Join Canonical as a Python and Kubernetes Software Engineer focused on Data, AI/ML and Analytics Solutions. Our platform, Ubuntu, is widely used in breakthrough enterprise initiatives such as public cloud, data science, AI, engineering innovation, and IoT.
We are hiring specialist engineers to join our teams building open source solutions for public cloud and private infrastructure. As a software engineer, 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.
Your responsibilities will include:
Developing your understanding of the entire Linux stack, from kernel, networking, and storage, to the application layer
Designing, building, and maintaining solutions deployed on public and private clouds and local workstations
Mastery of distributed systems concepts such as observability, identity, tracing
Working with both Kubernetes and machine-oriented open source applications
Collaborating proactively with a distributed team of engineers, designers, and product managers
Debugging issues and interacting with upstream and Ubuntu communities
Generating and discussing ideas, and collaborating on finding good solutions
We are looking for:
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
We offer a distributed work environment, personal learning and development budget, annual compensation review, recognition rewards, annual holiday leave, and more. Canonical is an equal opportunity employer and proud to foster a workplace free from discrimination.
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