Customer Reliability Engineer, Airflow

Astronomer is hiring a remote Customer Reliability Engineer to keep mission-critical Apache Airflow environments reliable for customers using its managed DataOps platform. This role suits IT Support Group readers who combine support ownership with cloud-native operations, troubleshooting, and reliability engineering. **What you would work on:** - Troubleshoot complex Apache Airflow issues and help customers optimize configurations and reach production. - Work across Airflow, data engineering, Kubernetes, and cloud infrastructure. - Meet support SLAs, provide hands-on customer guidance, and collaborate with data engineers, system administrators, and DevOps teams. - Contribute to Airflow or internal monitoring and alerting projects, plus a paid weekend on-call rotation. **Good fit if:** - You have a data-engineering background, four years of Python, and one year administering Airflow and creating DAGs. - You have used Kubernetes, Docker or other containers, and a major cloud provider such as AWS, GCP, or Azure. - You are comfortable independently troubleshooting distributed systems and communicating through tickets and Zoom. - SQL/PostgreSQL, open-source contributions, customer support, or tools such as Databricks and Snowflake are useful extras. Curated from Jobicy for IT Support Group readers. This is an external listing; use the apply link for the source listing and latest details.