Python & Kubernetes Data Platform Engineer

Canonical; City of Syracuse (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

Annual holiday leave

Maternity and paternity leave

Job summary

Canonical based in New York seeks Python and Kubernetes Specialist Engineers to enhance our open-source projects. You'll collaborate on building data analytics and MLOps solutions using popular open-source tools. Your role involves developing solutions to be deployed on public and private clouds, ensuring end-to-end functionality while participating in a distributed team.

We offer a supportive work environment with a focus on modern technologies and a commitment to inclusive collaboration. Successful candidates will have opportunities for professional growth and development.

Qualifications

• Professional or academic software delivery using Python.
• Exceptional academic track record from both high school and university.
• Ability to travel twice a year for company events.

Responsibilities

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

Skills

Python

Kubernetes

Machine Learning

Cloud Computing

Education

Undergraduate degree in a technical subject

Tools

Docker

Kubeflow

Apache Superset

Job description

Canonical based in New York seeks Python and Kubernetes Specialist Engineers to enhance our open-source projects. You'll collaborate on building data analytics and MLOps solutions using popular open-source tools. Your role involves developing solutions to be deployed on public and private clouds, ensuring end-to-end functionality while participating in a distributed team.

We offer a supportive work environment with a focus on modern technologies and a commitment to inclusive collaboration. Successful candidates will have opportunities for professional growth and development.