Python & Kubernetes Data Platform Engineer

Canonical; Sacramento (CA); Remote; USD 100,000 - 150,000; Full time

Benefits offered by this job

Personal learning 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 to join our dynamic teams. You will work on end-to-end data analytics solutions using open-source tools and collaborate with global colleagues in a distributed environment.

The ideal candidates will possess strong Python skills, a degree in a technical subject, and a passion for technology. We offer a flexible working environment, excellent benefits, and opportunities for continuous learning and development.

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.
• Passion for technology evidenced by personal projects and initiatives.
• The work ethic and confidence to shine alongside motivated colleagues.
• Experience with Linux (Debian or Ubuntu preferred).
• Excellent interpersonal skills, curiosity, flexibility, and accountability.

Responsibilities

• Develop understanding of the entire Linux stack.
• Design, build and maintain solutions deployed on clouds and workstations.
• Master distributed systems concepts like observability and tracing.
• Collaborate proactively with a distributed team.
• Debug issues and interact in public with upstream communities.

Skills

Python

Kubernetes

Machine Learning

ETL

Linux

Education

Undergraduate degree in a technical subject

Tools

Kubeflow

MLFlow

DVC

Feast

Apache Superset

Docker

AWS

Azure

Google Cloud

Job description

Canonical is seeking Python and Kubernetes Specialist Engineers focused on Data, AI/ML, and Analytics Solutions to join our dynamic teams. You will work on end-to-end data analytics solutions using open-source tools and collaborate with global colleagues in a distributed environment.

The ideal candidates will possess strong Python skills, a degree in a technical subject, and a passion for technology. We offer a flexible working environment, excellent benefits, and opportunities for continuous learning and development.