Python & Kubernetes Data Platform Engineer

Canonical; City of Albany (NY); On-site; USD 100,000 - 130,000; 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 a Python and Kubernetes Specialist Engineer to join teams focused on Data, AI/ML, and Analytics Solutions. You will collaborate on building open source solutions for both public cloud and private infrastructure.

Successful candidates will possess strong Python and Kubernetes skills, an undergraduate degree in a technical subject, and excellent communication abilities. The role offers a distributed work environment with opportunities for constant collaboration.

Qualifications

• Professional or academic software delivery experience using Python.
• Exceptional academic track record from both high school and university.
• Experience with Linux (Debian or Ubuntu preferred).

Responsibilities

• Develop understanding of Linux stack from kernel to application layer.
• Design and maintain solutions for public/private clouds and local workstations.
• Collaborate proactively with a distributed team of engineers.

Skills

Python

Kubernetes

Machine Learning

Data Analytics

Excellent English communication

Education

Undergraduate degree in a technical subject

Tools

Docker

Kubeflow

MLFlow

Apache Superset

Job description

Canonical is seeking a Python and Kubernetes Specialist Engineer to join teams focused on Data, AI/ML, and Analytics Solutions. You will collaborate on building open source solutions for both public cloud and private infrastructure.

Successful candidates will possess strong Python and Kubernetes skills, an undergraduate degree in a technical subject, and excellent communication abilities. The role offers a distributed work environment with opportunities for constant collaboration.