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

The company is founder led, profitable and growing. We are 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 collaborate on end-to-end data analytics and MLOps solutions composed of popular, open-source, machine learning tools, such as Kubeflow, MLFlow, DVC, and Feast. You may also work on ETL, data governance and visualization tools like Apache SuperSet, dbt, workflow orchestrati...

We serve the needs of individuals and community members as much as the needs of our Global 2000 and Fortune 500 customers; we make our primary work available free of charge and our Pro subscriptions are also available to individuals for personal use at no cost. Our goal is to enable more people to enjoy the benefits...

Professional or academic software delivery using Python
Exceptional academic track record from both high school and university
Undergraduate degree in a technical subject or a compelling narrative about your alternative chosen path
Confidence to respectfully speak up, exchange feedback, and share ideas without hesitation
Track record of going above-and-beyond expectations to achieve outstanding results
Passion for technology evidenced by personal projects and initiatives
The work ethic and confidence to shine alongside motivated colleagues
Professional written and spoken English with excellent presentation skills
Experience with Linux (Debian or Ubuntu preferred) 
Excellent interpersonal skills, curiosity, flexibility, and accountability
Appreciative of diversity, polite and effective in a multi-cultural, multi-national organisation
Thoughtfulness and self-motivation 
Result-oriented, with a personal drive to meet commitments 
Ability to travel twice a year, for company events up to two weeks long

The following skills may be helpful to you in the role, but we don't expect everyone to bring all of them.
Proven track record of building highly automated machine learning solutions, data pipelines, or orchestrating workflows for the cloud.
Hands-on experience with machine learning libraries, or tools.
Experience with container technologies (Docker, LXD, Kubernetes, etc.)
Experience with public clouds (AWS, Azure, Google Cloud)
Working knowledge of cloud computing
Passionate about software quality and testing
Experience working on an open source project