Python & Kubernetes Data Platform Engineer

Canonical; Portland (OR); On-site; USD 100,000 - 140,000; Full time

Benefits offered by this job

Personal learning and development budget of USD 2,000 per year

Annual compensation review

Maternity and paternity leave

Employee Assistance Programme

Opportunity to travel to new locations to meet colleagues

Job summary

Canonical is seeking a Python and Kubernetes Specialist Engineer to join our team focused on Data, AI/ML, and Analytics Solutions. You will work collaboratively on an end-to-end data platform, using popular open-source machine learning tools.

Ideal candidates should have a strong technical background in Python and Kubernetes, and a passion for technology. We offer a distributed work environment, with supportive company culture and competitive annual compensation reviews.

Qualifications

• Professional or academic software delivery using Python.
• Exceptional academic track record from both high school and university.
• Confidence to respectfully speak up and share ideas.

Responsibilities

• Design, build and maintain solutions for public and private clouds.
• Collaborate proactively with a distributed team of engineers.
• Debug issues and engage with upstream and Ubuntu communities.

Skills

Python

Kubernetes

Machine Learning

Linux

Interpersonal Skills

Education

Undergraduate degree in a technical subject

Tools

Docker

AWS

Azure

Google Cloud

Job description

Canonical is seeking a Python and Kubernetes Specialist Engineer to join our team focused on Data, AI/ML, and Analytics Solutions. You will work collaboratively on an end-to-end data platform, using popular open-source machine learning tools.

Ideal candidates should have a strong technical background in Python and Kubernetes, and a passion for technology. We offer a distributed work environment, with supportive company culture and competitive annual compensation reviews.