Airflow Reliability Engineer

Astronomer is seeking an Airflow Reliability Engineer to join their Customer Reliability Engineering (CRE) team, offering a unique opportunity to become an Apache Airflow expert while working with industry leaders. This role combines technical expertise with customer support, focusing on helping sophisticated organizations maintain mission-critical Airflow implementations.

The position requires deep technical knowledge and customer empathy, making it ideal for someone who strives for technical excellence and enjoys solving complex problems. As part of the CRE team, you'll work on challenging Airflow issues, from configuration optimization to identifying new bugs, while having the opportunity to contribute to the open-source community.

The role offers significant learning opportunities across multiple disciplines, including data engineering, Kubernetes, and cloud engineering. You'll work with a modern, cloud-native product that interfaces with numerous systems, providing both depth and breadth of technical exposure. The position includes direct interaction with customers' technical teams, allowing you to influence the direction of the Airflow project through hands-on experience.

Astronomer offers a competitive compensation package ranging from $130,000 to $160,000, plus equity, and embraces a remote-first culture. The company values diversity and maintains an inclusive work environment, making it an ideal place for professionals with unconventional career paths who are passionate about technology and customer success.

Key responsibilities include providing expert Airflow guidance, maintaining system reliability through on-call rotations, and contributing to internal development projects. The ideal candidate brings 4+ years of professional experience, strong Python skills, and experience with containerization and cloud platforms. This role presents an excellent opportunity for someone who wants to combine technical expertise with customer interaction while working at the forefront of data engineering technology.