Python & Kubernetes Data Platform Engineer

Canonical; Canberra; On-site; AUD 90,000 - 120,000; Full time

Benefits offered by this job

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

Annual compensation review

Maternity and paternity leave

Employee Assistance Programme

Job summary

Canonical is seeking Python and Kubernetes Specialist Engineers focused on Data, AI/ML, and Analytics Solutions. You'll collaborate on end-to-end data analytics solutions using open-source tools like Kubeflow and MLFlow. The role is remote, allowing for flexibility in your work hours, and requires a strong background in software engineering, especially using Python.

We offer a distributed work environment with twice-yearly team sprints and generous benefits including a personal learning budget and annual compensation reviews.

Qualifications

• Professional or academic software delivery using Python.
• Exceptional academic track record required.
• Ability to travel twice a year for company events.

Responsibilities

• Design, build and maintain solutions for public and private clouds.
• Collaborate with a distributed team of engineers.
• Work with Kubernetes and machine-oriented open source applications.

Skills

Python

Kubernetes

Machine learning

Linux

Excellent presentation skills

Education

Undergraduate degree in a technical subject

Tools

Docker

LXD

AWS

Google Cloud

Azure

Job description

Canonical is seeking Python and Kubernetes Specialist Engineers focused on Data, AI/ML, and Analytics Solutions. You'll collaborate on end-to-end data analytics solutions using open-source tools like Kubeflow and MLFlow. The role is remote, allowing for flexibility in your work hours, and requires a strong background in software engineering, especially using Python.

We offer a distributed work environment with twice-yearly team sprints and generous benefits including a personal learning budget and annual compensation reviews.