Learn across Airflow, data engineering, Kubernetes, and cloud engineering.
Solve Airflow problems for customers; optimize configs and fix bugs.
Contribute to side projects (open source Airflow or internal monitoring).
Work on a cloud-native product; collaborate with data engineers, admins, and DevOps.
Own the customer experience; meet SLAs with white-glove guidance.
Remote work in a distributed team; 6-hour pager coverage and weekend on-call.

🎯 Requirements

Four years of professional experience.
Python proficiency with at least 2 years.
Kubernetes, Docker or Containers experience.
Experience with distributed systems on AWS, GCP or Azure.
Strong problem-solving, autonomy, and communication.
Bonus: Airflow admin, open-source contributions, SQL/PostgreSQL.

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