Python & Kubernetes Data Platform Engineer

Canonical; Boise (ID); On-site; USD 80,000 - 120,000; 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

Recognition rewards

Job summary

Canonical is seeking a Python and Kubernetes Specialist Engineer focused on Data, AI/ML, and Analytics Solutions. You will work with a distributed team to develop cutting-edge open source solutions for public cloud and private infrastructure.

Ideal candidates will have a strong technical background, particularly in Python and Kubernetes, and a passion for technology. Key responsibilities include collaborating on data analytics solutions and integrating various tools in a dynamic environment.

Qualifications

• Professional or academic software delivery using Python.
• Exceptional academic track record.
• Track record of going above expectations.
• Confidence to exchange feedback and share ideas.
• Passion for technology shown in personal projects.

Responsibilities

• Develop understanding of the Linux stack.
• Design and maintain solutions for public/private clouds.
• Collaborate with a distributed team.
• Debug issues within public communities.

Skills

Python

Kubernetes

Linux

Machine Learning

Docker

Education

Undergraduate degree in a technical subject

Tools

Kubeflow

MLFlow

DVC

Apache Superset

dbt

Temporal

Apache Trino

ClickHouse

Job description

Canonical is seeking a Python and Kubernetes Specialist Engineer focused on Data, AI/ML, and Analytics Solutions. You will work with a distributed team to develop cutting-edge open source solutions for public cloud and private infrastructure.

Ideal candidates will have a strong technical background, particularly in Python and Kubernetes, and a passion for technology. Key responsibilities include collaborating on data analytics solutions and integrating various tools in a dynamic environment.