Astronomer

Astronomer empowers data teams to bring mission-critical software, analytics, and AI to life and is the company behind Astro, the industry-leading unified DataOps platform powered by Apache Airflow®. Astro accelerates building reliable data products that unlock insights, unleash AI value, and powers data-driven applications. Trusted by more than 800 of the world’s leading enterprises, Astronomer le

Design and engineer components of Astronomer’s context layer for data modeling, semantic search, retrieval, and code generation.Build applied AI systems using LLMs, embeddings, and retrieval techniques for data practitioners and developer tools.Solve information retrieval and search problems at global scale using knowledge of data pipelines.Collaborate with R&D and product teams

Build high-quality, maintainable, well-tested backend services.Collaborate with engineering, product, customer reliability support, and leadership to evolve systems and achieve business goals.Participate in code reviews and provide constructive feedback.Optimize the performance, reliability, and scalability of existing backend services.Investigate, prototype, and propose improvement

Develop expertise in Airflow, data engineering, Kubernetes, and cloud engineering.Solve challenging Apache Airflow problems for customers, including configuration optimization and identifying previously unknown bugs.Spend up to 20% of time on side projects such as contributing to the open-source Airflow repository or developing internal monitoring and alerting systems.Work directly

Astronomer empowers data teams to bring mission-critical software, analytics, and AI to life and is the company behind Astro, the industry-leading unified DataOps platform powered by Apache Airflow®. Astro accelerates building reliable data products that unlock insights, unleash AI value, and powers data-driven applications. Trusted by more than 800 of the world's leading enterprises, Astronomer