Python & Kubernetes Data Platform Engineer

Canonical; Tulsa (OK); 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

Opportunity to travel to new locations to meet colleagues

Job summary

Canonical is looking for Python and Kubernetes Specialist Engineers focused on Data, AI/ML, and Analytics Solutions. You will collaborate on developing innovative open-source solutions deployed on both cloud and on-prem platforms.

Successful candidates will have expertise in Python, experience with Kubernetes, and a strong educational background. Canonical promotes a distributed work environment with opportunities for collaboration and personal development.

Qualifications

• Professional or academic software delivery using Python.
• Confidence to exchange feedback and share ideas.
• Ability to travel for company events.
• Excellent presentation skills.

Responsibilities

• Develop understanding of the entire Linux stack.
• Design and maintain solutions deployed on public and private clouds.
• Collaborate with distributed team of engineers.

Skills

Python

Kubernetes

Linux

Interpersonal skills

English proficiency

Machine learning

Cloud experience

Education

Undergraduate degree in a technical subject

Exceptional academic track record

Tools

Docker

MLFlow

Apache Superset

Job description

Canonical is looking for Python and Kubernetes Specialist Engineers focused on Data, AI/ML, and Analytics Solutions. You will collaborate on developing innovative open-source solutions deployed on both cloud and on-prem platforms.

Successful candidates will have expertise in Python, experience with Kubernetes, and a strong educational background. Canonical promotes a distributed work environment with opportunities for collaboration and personal development.