About the job
Astronomer develops Astro, a unified DataOps platform powered by Apache Airflow®. Over 800 enterprises rely on Astronomer to help their teams apply software, analytics, and AI to real-world challenges. More details are available at www.astronomer.io.
Role overview
The Airflow Infrastructure team at Astronomer scales Apache Airflow for organizations with complex data pipelines. This group works within Research and Development, focusing on cloud-native infrastructure and open-source integration. As a Software Engineer on this team, the main responsibility is building the infrastructure layer that connects open-source Airflow with scalable, enterprise-grade cloud systems. The work directly impacts how companies orchestrate and manage data pipelines, emphasizing speed, reliability, and ease of use.
This position is based in New York City and follows a hybrid work schedule.
What you will do
- Write and maintain backend services using clean, well-tested code.
- Collaborate with engineers, product managers, support, and leadership to align technical direction with business goals.
- Participate in code reviews and provide constructive feedback to peers.
- Enhance the performance, reliability, and scalability of backend systems.
- Prototype and suggest new ideas to improve user experience.
- Document systems and processes in a clear, accessible manner.
- Join on-call rotations to troubleshoot and resolve incidents as they occur.
Requirements
- 3-5 years of experience with Python, Golang, and Kubernetes.
- Strong understanding of distributed systems and microservices architecture.
- Experience working with cloud platforms and CI/CD pipelines.
- Demonstrated problem-solving skills and a collaborative mindset.

