Python & Kubernetes Data Platform Engineer

Canonical; San Jose (CA); On-site; USD 100,000 - 140,000; Full time

Benefits offered by this job

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

Annual compensation review

Maternity and paternity leave

Job summary

Canonical is seeking Python and Kubernetes Specialist Engineers to build open source solutions for public cloud and private infrastructure. You will work on data analytics and machine learning solutions, mastering distributed systems and collaborating with a talented team of engineers.

This position emphasizes personal initiative, exceptional academic performance, and a passion for technology. You will contribute to exciting projects and have opportunities for personal development with a generous annual budget.

Qualifications

• Professional or academic software delivery using Python.
• Experience with Linux (Debian or Ubuntu preferred).
• Confidence to respectfully speak up and exchange feedback.

Responsibilities

• Develop understanding of the entire Linux stack.
• Design, build and maintain solutions for cloud and local workstations.
• Collaborate proactively with a distributed team of engineers.

Skills

Python

Machine Learning

Kubernetes

Linux (Debian or Ubuntu)

Interpersonal skills

Education

Undergraduate degree in a technical subject

Exceptional academic track record

Tools

Kubeflow

MLFlow

Apache Superset

Docker

Job description

Canonical is seeking Python and Kubernetes Specialist Engineers to build open source solutions for public cloud and private infrastructure. You will work on data analytics and machine learning solutions, mastering distributed systems and collaborating with a talented team of engineers.

This position emphasizes personal initiative, exceptional academic performance, and a passion for technology. You will contribute to exciting projects and have opportunities for personal development with a generous annual budget.