Python & Kubernetes Data Platform Engineer

Canonical; New York (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

Employee Assistance Programme

Job summary

Canonical, based in New York, NY, is seeking Python and Kubernetes Specialist Engineers focused on Data, AI/ML and Analytics Solutions. The position involves collaborating on end-to-end data analytics and MLOps solutions using popular open-source tools.

Successful candidates will join a distributed team and engage in designing and maintaining solutions deployed on public and private clouds. Canonical offers a distributed work environment with opportunities for professional growth and travel.

Qualifications

• Professional software delivery using Python.
• Exceptional academic track record from both high school and university.
• Ability to collaborate proactively with a distributed team.

Responsibilities

• Design, build and maintain cloud solutions.
• Work with Kubernetes and machine-oriented open source applications.
• Collaborate with engineers, designers, and product managers.

Skills

Python

Kubernetes

Linux

Machine Learning

Cloud Technologies

Education

Undergraduate degree in a technical subject

Tools

Docker

Kubeflow

Apache Trino

ClickHouse

Job description

Canonical, based in New York, NY, is seeking Python and Kubernetes Specialist Engineers focused on Data, AI/ML and Analytics Solutions. The position involves collaborating on end-to-end data analytics and MLOps solutions using popular open-source tools.

Successful candidates will join a distributed team and engage in designing and maintaining solutions deployed on public and private clouds. Canonical offers a distributed work environment with opportunities for professional growth and travel.