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

Stack

Responsibilities

• ▹Build end-to-end data analytics and MLOps solutions
• ▹Design systems deployed on Kubernetes and standalone machines
• ▹Apply distributed systems concepts (observability, tracing)
• ▹Debug issues with upstream and Ubuntu communities
• ▹Collaborate with a distributed team of engineers, designers and PMs

Requirements

• ▹Professional or academic software delivery using Python
• ▹Exceptional academic track record
• ▹Undergraduate degree in a technical subject or equivalent path
• ▹Professional written and spoken English

Nice to have

• ▹Familiarity with Kubeflow, MLFlow, DVC, Feast
• ▹Experience with Apache Superset, dbt, Airflow, Temporal
• ▹Familiarity with Apache Trino or ClickHouse

Soft skills

What we offer

• ▹Fully remote, same-timezone team
• ▹Free Ubuntu Pro subscription

About the company

Canonical develops Ubuntu, with 1000+ colleagues in 70+ countries, a profitable and growing founder-led company.