Remote Python & Kubernetes Data/AI Engineer

DaParrot Ltd; United States; Remote; USD 130,000 - 180,000; Full time

Benefits offered by this job

Learning budget

Team sprints

Compensation review

Recognition rewards

Holiday leave

Maternity/paternity leave

Employee support

Travel opportunities

Priority Pass

Job summary

Canonical is hiring Python and Kubernetes Specialist Engineers focused on Data, Workflows, AI/ML and Analytics Solutions to join our teams building open source solutions for public cloud and private infrastructure.

As a software engineer on the team, you’ll work on end-to-end data analytics, ML workflows, and open source tooling, collaborating across time zones with a distributed team of engineers, designers and product managers.

Qualifications

• Professional or academic software delivery using Python.
• Excellent written and spoken English.
• Undergraduate degree in a technical subject.
• Experience with Linux (Debian/Ubuntu preferred).
• Willingness to travel twice a year.
• Strong collaboration in distributed teams.

Responsibilities

• Develop understanding of the Linux stack from kernel to application layer.
• Design, build and maintain solutions deployed on clouds and local workstations.
• Master distributed systems concepts such as observability and tracing.
• Work with Kubernetes and open source applications.
• Collaborate with a distributed team of engineers, designers and product managers.
• Debug issues and interact with upstream and Ubuntu communities.
• Generate and discuss ideas, and collaborate on solutions.

Skills

Python

Linux

Education

Undergraduate degree in a technical subject

Tools

Docker

Kubernetes

LXD

Job description

Canonical is hiring Python and Kubernetes Specialist Engineers focused on Data, Workflows, AI/ML and Analytics Solutions to join our teams building open source solutions for public cloud and private infrastructure.

As a software engineer on the team, you’ll work on end-to-end data analytics, ML workflows, and open source tooling, collaborating across time zones with a distributed team of engineers, designers and product managers.