Python & Kubernetes Data Platform Engineer

Canonical; City of Melbourne; On-site; AUD 100,000 - 120,000; Full time

Benefits offered by this job

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

Annual compensation review

Employee Assistance Programme

Job summary

Canonical, based in Melbourne, is looking for a Python and Kubernetes Specialist Engineer. In this role, you will collaborate on developing cutting-edge data analytics and machine learning solutions, utilizing popular open-source tools. The position is fully remote with opportunities for travel to meet your team globally.

The ideal candidate has a strong background in Python programming, exceptional academic achievements, and experience with Linux systems. Canonical offers a supportive distributed work environment with a focus on professional growth and 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, exchange feedback, and share ideas.

Responsibilities

• Develop your understanding of the entire Linux stack.
• Design, build and maintain solutions deployed on clouds and local workstations.
• Collaborate proactively with a distributed team.

Skills

Python

Linux (Debian or Ubuntu)

Kubernetes

Machine Learning

Education

Undergraduate degree in a technical subject

Tools

Docker

Kubeflow

MLFlow

DVC

Feast

Job description

Canonical, based in Melbourne, is looking for a Python and Kubernetes Specialist Engineer. In this role, you will collaborate on developing cutting-edge data analytics and machine learning solutions, utilizing popular open-source tools. The position is fully remote with opportunities for travel to meet your team globally.

The ideal candidate has a strong background in Python programming, exceptional academic achievements, and experience with Linux systems. Canonical offers a supportive distributed work environment with a focus on professional growth and annual compensation reviews.