AI/ML Data Platform Engineer (Python + Kubernetes)

Canonical; Remote; CAD 80,000 - 100,000; Full time

Job summary

A leading software provider focused on open source is hiring Python and Kubernetes Specialist Engineers in Canada, Trois-Rivières. You will work within a distributed team to develop end-to-end data analytics and ML solutions using tools like Kubeflow and Apache. Candidates should have a strong background in software delivery using Python, Linux experience, and excellent communication skills. This role offers a distributed work environment, personal development budgets, and regular company events for collaboration.

Benefits

Personal learning and development budget

Annual compensation review

Recognition rewards

Maternity and paternity leave

Employee Assistance Programme

Opportunity to travel for company events

Qualifications

• Professional or academic software delivery using Python.
• Confidence to share ideas and feedback effectively.
• Experience with Linux (preferably Debian or Ubuntu).

Responsibilities

• Develop understanding of the Linux stack from kernel to application layer.
• Design, build and maintain solutions for public and private clouds.
• Collaborate with a distributed team of engineers and designers.

Skills

Python

Kubernetes

Linux (Debian or Ubuntu)

Machine Learning

Interpersonal skills

English (professional)

Education

Undergraduate degree in a technical subject

Exceptional academic track record

Tools

Docker

Cloud Platforms (AWS, Azure, Google Cloud)

Machine Learning Libraries

Job description

A leading software provider focused on open source is hiring Python and Kubernetes Specialist Engineers in Canada, Trois-Rivières. You will work within a distributed team to develop end-to-end data analytics and ML solutions using tools like Kubeflow and Apache. Candidates should have a strong background in software delivery using Python, Linux experience, and excellent communication skills. This role offers a distributed work environment, personal development budgets, and regular company events for collaboration.