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Senior Software Engineer, Core Platform

seniorhybridNew York City, USScore 68/1002w ago
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airflowastrodataops
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Description
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 lets businesses do more with their data. To learn more, visit [link] . About this role At Astronomer, we’re on a mission to make Apache Airflow the go-to standard for data orchestration, and our R&D team is at the heart of it. We’re looking for a Software Engineer to our Core Platform team, where you’ll work on core systems that power Astro’s Public API, authentication, billing, alerting frameworks, and ensure the platform is reliable, scalable, and maintainable. This is a chance to build real-world production systems, collaborate with brilliant engineers, and directly impact how companies around the world manage their data. You’ll grow your skills fast, tackle challenging technical problems, and be part of a team that’s shaping the future of data infrastructure. Astro’s Core Platform exists at the heart of all our products; you get to touch all aspects of product, backend and our engineering practice. What you get to do: Contribute to the development of Astro Platform's architecture and components, through implementation and architectural participation. Collaborate with cross-functional teams to understand user requirements, implement and iterate on features used in our product and by the engineering org as a whole. Work with front end developers, product management and customers to deliver customer facing features such as public facing APIs and the technology behind Astro’s own infrastructure. Contribute to the overall platform usability, reliability, and scalability. What you bring to the role: A track record in building performant, scalable, and reliable b
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