Airflow Reliability Engineer

• Learn and build expertise across several software engineering disciplines, including:
• Airflow and data engineering
• Kubernetes
• Cloud Engineering
• Gain exposure to the big picture; learn about product, engineering, customer relationship management, and more.
• Solve challenging Airflow problems for our customers. From optimizing configuration to identifying world-first Airflow bugs, you ll see it all here.
• Spend up to 20% of your time on side projects that contribute to Astronomer s overall success, such as contributing to the open-source Airflow repository or developing Astronomer s internal monitoring and alerting systems built on Airflow.
• Work on a modern, sophisticated, cloud-native product that customers use to connect to dozens of other systems. Gain depth and breadth of learning!
• Work directly with our customers data engineers, system admins, DevOps teams, and management.
• Provide feedback from your experience that can shape the direction of the Airflow project.
• Own the customer experience, working directly with customers to prioritize and solve issues, meet SLAs, and provide white glove guidance on the path to production.
• Participate remotely within a fully distributed team.
• Help maintain 24x7 coverage through a specified 6-hour pager period during your work day.
• Participate in paid on-call rotation for weekend coverage.

What you bring to the role:

• 4 years of professional experience (any industry)

• 2 years of experience with Python

• Knowledge of Kubernetes/Docker/Containers

• Customer Support experience
• Experience working with a distributed system with any major cloud provider (AWS, GCP, Azure)
• Problem-solving and troubleshooting abilities
• Work well with autonomy and independence
• Strong written and verbal communication for connecting with our customers over our ticketing system and through Zoom

Bonus points if you have:

• Familiarity with Apache Airflow
• Familiarity with SQL and PostgreSQL
• Familiarity with Databricks, Snowflake, Redshift, dbt, or other similar data engineering tools