Python & Kubernetes Data Platform Engineer

Canonical; Baltimore (MD); Remote; USD 80,000 - 120,000; Full time

Benefits offered by this job

Personal learning and development budget of USD 2,000

Annual compensation review

Maternity and paternity leave

Employee Assistance Programme

Priority Pass for travel upgrades

Job summary

Canonical is seeking a Python and Kubernetes Specialist Engineer focused on Data, AI/ML, and Analytics Solutions. This role involves building open source solutions for public cloud and private infrastructures, collaborating with engineers and product managers in a distributed team.

The ideal candidate has a strong background in Python, Kubernetes, and Linux, and is passionate about technology. Canonical offers a distributed work environment and benefits like a personal learning budget and annual compensation reviews.

Qualifications

• Professional or academic software delivery using Python.
• Exceptional academic track record from both high school and university.
• Experience with Linux (Debian or Ubuntu preferred).

Responsibilities

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

Skills

Python

Kubernetes

Linux

Machine learning

Interpersonal skills

Education

Undergraduate degree in a technical subject

Tools

Docker

Kubeflow

MLFlow

Apache Superset

Job description

Canonical is seeking a Python and Kubernetes Specialist Engineer focused on Data, AI/ML, and Analytics Solutions. This role involves building open source solutions for public cloud and private infrastructures, collaborating with engineers and product managers in a distributed team.

The ideal candidate has a strong background in Python, Kubernetes, and Linux, and is passionate about technology. Canonical offers a distributed work environment and benefits like a personal learning budget and annual compensation reviews.