Python & Kubernetes Data Platform Engineer

Canonical; Las Vegas (NV); On-site; USD 90,000 - 120,000; Full time

Benefits offered by this job

Personal learning and development budget of USD 2,000

Annual compensation review

Employee Assistance Programme

Job summary

Canonical, a leading provider of open-source software, is looking for Python and Kubernetes Specialist Engineers to join their remote teams. In this role, you will work on end-to-end data analytics and MLOps solutions, leveraging popular open-source frameworks. Canonical values diversity and offers a collaborative work environment, with a focus on distributed teams and innovation.

Candidates should have a strong background in Python programming, experience with Kubernetes, and an interest in data science and machine learning. The position includes opportunities for professional growth and a supportive work culture.

Qualifications

• Professional or academic software delivery using Python
• Exceptional academic track record from both high school and university
• Confidence to respectfully speak up and share ideas

Responsibilities

• Develop understanding of the entire Linux stack
• Design, build and maintain solutions for public and private clouds
• Collaborate proactively with a distributed team of engineers

Skills

Python

Kubernetes

Machine learning

Data analytics

Linux

Education

Undergraduate degree in a technical subject

Tools

Docker

AWS

Azure

Google Cloud

Job description

Canonical, a leading provider of open-source software, is looking for Python and Kubernetes Specialist Engineers to join their remote teams. In this role, you will work on end-to-end data analytics and MLOps solutions, leveraging popular open-source frameworks. Canonical values diversity and offers a collaborative work environment, with a focus on distributed teams and innovation.

Candidates should have a strong background in Python programming, experience with Kubernetes, and an interest in data science and machine learning. The position includes opportunities for professional growth and a supportive work culture.