Python and Kubernetes Software Engineer - Data, Workflows, AI/ML & Analytics

Canonical; New York (NY); Remote; USD 100,000 - 150,000; Full time

Job summary

Canonical is seeking a Python and Kubernetes Software Engineer to develop open source solutions for cloud and infrastructure environments. The role involves understanding the Linux stack, designing solutions, and collaborating with global teams on Kubernetes applications. This position offers opportunities for personal development and travel in a diverse work environment.

Benefits

Distributed work environment

Personal development budgets

Opportunities for travel and growth

Qualifications

• Experience in Python software delivery.
• Strong academic or professional background in a technical field.
• Excellent communication skills in English.

Responsibilities

• Develop understanding of Linux stack, from kernel to application layer.
• Design, build, and maintain solutions on cloud and local environments.
• Collaborate on Kubernetes and open-source applications.

Skills

Python software delivery

Communication skills

Interpersonal skills

Curiosity

Adaptability

Education

Technical field background

Tools

Linux (Debian or Ubuntu)

Machine learning tools

Container technologies

Cloud platforms

Job description

Python and Kubernetes Software Engineer - Data, Workflows, AI/ML & Analytics

Join to apply for the Python and Kubernetes Software Engineer - Data, Workflows, AI/ML & Analytics role at Canonical

Role Overview

Canonical is a leading provider of open source software and operating systems to the global enterprise and technology markets. Our platform, Ubuntu, is widely used in enterprise initiatives such as public cloud, data science, AI, and IoT. We are hiring Python and Kubernetes Specialist Engineers focused on Data, Workflows, AI/ML, and Analytics Solutions to develop open source solutions for cloud and infrastructure environments.

Responsibilities

• Develop understanding of Linux stack, from kernel to application layer.
• Design, build, and maintain solutions on cloud and local environments.
• Work with distributed systems concepts like observability and tracing.
• Collaborate on Kubernetes and open-source applications.
• Engage with global, distributed teams and communities.

Qualifications

• Experience in Python software delivery.
• Strong academic or professional background in a technical field.
• Excellent communication skills in English.
• Experience with Linux (Debian or Ubuntu preferred).
• Interpersonal skills, curiosity, and adaptability.

Preferred Skills

• Experience with machine learning tools, data pipelines, and workflows.
• Knowledge of container technologies and cloud platforms.
• Open source project experience.

Additional Information

We offer a distributed work environment, personal development budgets, and opportunities for travel and growth. Canonical values diversity and is an equal opportunity employer.