Python & Kubernetes Data Platform Engineer

Canonical; Milwaukee (WI); On-site; USD 80,000 - 120,000; 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 is seeking Python and Kubernetes Specialist Engineers focused on Data, AI/ML, and Analytics Solutions. The role involves collaborating on data analytics solutions using popular open-source tools like Kubeflow and MLFlow.

Successful candidates will develop understanding of the Linux stack, design cloud solutions, and work in a distributed collaboration environment. Canonical offers a remote work culture with opportunities for travel and professional development.

Qualifications

• Professional or academic software delivery using Python.
• Exceptional academic track record from high school and university.
• Confidence to respectfully speak up and exchange feedback.

Responsibilities

• Develop understanding of the entire Linux stack.
• Design, build and maintain cloud solutions.
• Collaborate proactively with distributed teams.

Skills

Python

Kubernetes

Linux

Machine learning

Interpersonal skills

Education

Undergraduate degree in a technical subject

Tools

Docker

Kubeflow

Apache Superset

Job description

Canonical is seeking Python and Kubernetes Specialist Engineers focused on Data, AI/ML, and Analytics Solutions. The role involves collaborating on data analytics solutions using popular open-source tools like Kubeflow and MLFlow.

Successful candidates will develop understanding of the Linux stack, design cloud solutions, and work in a distributed collaboration environment. Canonical offers a remote work culture with opportunities for travel and professional development.