Python & Kubernetes Data Platform Engineer

Canonical; Omaha (NE); On-site; USD 90,000 - 120,000; Full time

Benefits offered by this job

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

Distributed work environment with annual events

Maternity and paternity leave

Employee Assistance Programme

Job summary

Canonical is looking for Python and Kubernetes Specialist Engineers to join our teams focused on Data, AI/ML, and Analytics Solutions. You will design and maintain open source solutions for public cloud and private infrastructure, collaborating with a distributed team.

We're a pioneer in open source technology, and as part of our team, you’ll have the opportunity to learn and grow in a supportive environment.

We offer a performance-driven annual bonus, personal learning budget, and a distributed work environment with annual compensation reviews.

Qualifications

• Passion for technology evidenced by personal projects.
• Ability to travel twice a year for company events.
• Result-oriented, with a personal drive to meet commitments.

Responsibilities

• Design, build and maintain open source solutions.
• Collaborate with a distributed team on data analytics.
• Debug issues and interact with upstream communities.

Skills

Professional or academic software delivery using Python

Experience with Linux (Debian or Ubuntu preferred)

Excellent interpersonal skills

Professional written and spoken English

Confidence to speak up and share ideas

Education

Undergraduate degree in a technical subject

Exceptional academic track record

Tools

Docker

Kubernetes

Machine learning libraries

Job description

Canonical is looking for Python and Kubernetes Specialist Engineers to join our teams focused on Data, AI/ML, and Analytics Solutions. You will design and maintain open source solutions for public cloud and private infrastructure, collaborating with a distributed team.

We're a pioneer in open source technology, and as part of our team, you’ll have the opportunity to learn and grow in a supportive environment.

We offer a performance-driven annual bonus, personal learning budget, and a distributed work environment with annual compensation reviews.