Airflow Reliability Engineer

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 with industry leaders. As part of a globally-distributed, venture-backed team, you'll be at the forefront of data orchestration and observability.

The position combines technical expertise with customer-facing responsibilities, requiring both strong Python programming skills and excellent communication abilities. You'll work on maintaining and optimizing Airflow environments, solving complex technical challenges, and ensuring reliable service delivery for customers.

The role offers diverse learning opportunities across multiple disciplines, including data engineering, Kubernetes, and cloud engineering. You'll spend up to 25% of your time on innovative side projects, contributing to open-source Airflow, and developing internal systems.

Astronomer values diversity and maintains a remote-first culture, welcoming candidates with unconventional backgrounds. The position includes hands-on technical work with modern cloud-native products, direct customer interaction, and the chance to influence the direction of the Airflow project.

Key responsibilities include providing expert Airflow guidance, maintaining system reliability, participating in on-call rotations, and delivering white-glove customer service. The ideal candidate will have at least 2 years of Python experience, Airflow expertise, and a passion for problem-solving.

Benefits include working with cutting-edge technology, professional growth opportunities, and being part of a team that's shaping the future of data orchestration. The role offers exposure to various aspects of the business, from engineering to customer relationship management, making it an excellent opportunity for someone looking to expand their technical and professional horizons.