Astronomer is seeking an Airflow Reliability Engineer to join their Customer Reliability Engineering (CRE) team. This role offers a unique opportunity to become an Apache Airflow expert while working directly with customers on their managed Airflow service. The position combines technical expertise with customer support, requiring strong problem-solving abilities and communication skills.
As part of a globally-distributed, venture-backed team, you'll be at the forefront of helping organizations implement mission-critical analytics and AI solutions. The role involves working with sophisticated cloud-native products, connecting to various systems, and providing high-level technical support to customers.
The ideal candidate will have 4+ years of professional experience, strong Python skills, and experience with Kubernetes and cloud providers. You'll spend most of your time solving complex Airflow problems for customers, with up to 25% dedicated to side projects that contribute to Astronomer's success.
This position offers competitive compensation ($130,000-$160,000) plus equity, and embraces remote work culture. The company values diversity and welcomes candidates from non-traditional backgrounds. You'll be part of a team that shapes the future of data orchestration while working with cutting-edge technologies and directly influencing the Apache Airflow project's direction.
Key responsibilities include providing expert Airflow guidance, maintaining 24x7 coverage during work hours, participating in on-call rotations, and contributing to both customer success and internal development projects. The role offers extensive learning opportunities across multiple disciplines, including data engineering, Kubernetes, and cloud engineering.