Python & Kubernetes Data Platform Engineer

Canonical; Los Angeles (CA); On-site; USD 100,000 - 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

Recognition rewards

Job summary

Canonical is seeking a Python and Kubernetes Specialist Engineer to contribute to open-source solutions in data, AI/ML, and analytics. Located in the United States, this role emphasizes collaboration with a distributed team to develop solutions on public and private clouds.

The ideal candidate will have a strong background in Python, Kubernetes, and machine learning, along with excellent interpersonal skills and the ability to work independently in a virtual environment.

Qualifications

• Professional or academic software delivery using Python.
• Track record of going above and beyond expectations.
• Excellent written and spoken English with presentation skills.

Responsibilities

• Develop solutions for public and private clouds.
• Collaborate with a distributed team of engineers and designers.
• Debug issues and interact with upstream communities.

Skills

Python

Kubernetes

Machine Learning

Open Source

Linux

Education

Undergraduate degree in a technical subject

Exceptional academic track record

Tools

Kubeflow

MLFlow

Docker

AWS

Google Cloud

Job description

Canonical is seeking a Python and Kubernetes Specialist Engineer to contribute to open-source solutions in data, AI/ML, and analytics. Located in the United States, this role emphasizes collaboration with a distributed team to develop solutions on public and private clouds.

The ideal candidate will have a strong background in Python, Kubernetes, and machine learning, along with excellent interpersonal skills and the ability to work independently in a virtual environment.