Python & Kubernetes Data Platform Engineer

Canonical; Spokane (WA); On-site; USD 90,000 - 130,000; Full time

Benefits offered by this job

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

Annual compensation review

Distributed work environment with team sprints

Job summary

Canonical is seeking a Python and Kubernetes Specialist Engineer focused on Data, AI/ML, and Analytics Solutions in Spokane, Washington. You'll design and maintain open source solutions for public cloud and private infrastructure.

The ideal candidate will engage with a distributed team, mastering Linux systems and debugging issues alongside upstream communities. Canonical offers a flexible work environment with opportunities for travel and professional development.

Qualifications

• Professional or academic software delivery using Python.
• Exceptional academic track record from both high school and university.
• Confidence to respectfully speak up, exchange feedback, and share ideas without hesitation.

Responsibilities

• Develop understanding of the entire Linux stack.
• Design, build and maintain solutions for public and private clouds.
• Collaborate proactively with a distributed team.

Skills

Python

Kubernetes

Linux

Machine learning libraries

Education

Undergraduate degree in a technical subject

Tools

Docker

AWS

Azure

Google Cloud

Job description

Canonical is seeking a Python and Kubernetes Specialist Engineer focused on Data, AI/ML, and Analytics Solutions in Spokane, Washington. You'll design and maintain open source solutions for public cloud and private infrastructure.

The ideal candidate will engage with a distributed team, mastering Linux systems and debugging issues alongside upstream communities. Canonical offers a flexible work environment with opportunities for travel and professional development.