Python & Kubernetes Data Platform Engineer

Canonical; Nashville (TN); 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

Job summary

Canonical is seeking a Python and Kubernetes Specialist Engineer to develop data analytics and machine learning solutions. You will collaborate with distributed teams to design and maintain solutions deployed in various environments, ensuring seamless integration and performance.

If you are passionate about technology and open source innovations, this role offers the opportunity to work on groundbreaking projects in a fully remote environment, fostering continuous learning and professional growth.

Qualifications

• Professional or academic software delivery using Python.
• Exceptional academic track record from high school and university.
• Experience with Linux (Debian or Ubuntu preferred).
• Ability to travel twice a year, for company events up to two weeks long.

Responsibilities

• Develop understanding of the entire Linux stack.
• Design, build, and maintain solutions for various platforms.
• Collaborate with distributed teams to achieve goals.
• Debug issues and interact with upstream and Ubuntu communities.

Skills

Python

Kubernetes

Machine learning

Data analytics

Linux

Education

Undergraduate degree in a technical subject

Tools

Kubeflow

MLFlow

Apache Superset

Docker

AWS

Job description

Canonical is seeking a Python and Kubernetes Specialist Engineer to develop data analytics and machine learning solutions. You will collaborate with distributed teams to design and maintain solutions deployed in various environments, ensuring seamless integration and performance.

If you are passionate about technology and open source innovations, this role offers the opportunity to work on groundbreaking projects in a fully remote environment, fostering continuous learning and professional growth.