Python and Kubernetes Software Engineer - Data, Workflows, AI/ML & Analytics
- Where you can live
- Anywhere in the world
- Working hours
- Not stated
- Salary
- Not published
- Posted
- April 11, 2024
Summary from the posting
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 orchestration tools such as Airflow and Temporal, or data warehouse solutions such as Apache Trino, or ClickHouse.
This is a short summary. The full description, requirements and the application form are on Canonical's own career page.