Software Engineer
Astronomer · Data infrastructure
unknownRemote
Salary Range (USD)
Negotiable
Location
New York City, USA
Visa Support
Not mentioned
Funding Stage
Unknown
Job Responsibilities
- • Build and enhance the commercial managed Apache Airflow offering
- • Develop a data and infrastructure observability stack on top of Airflow
- • Create AI-powered products and experiences that add value to the platform
Required Skills
GoPythonTypeScriptdistributed systemsobservabilityapplied AI
Engineering Culture & Tech Stack
GoPythonTypeScript
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Astronomer | https://astronomer.io | NYC preferably, open to remote | Full-time
Hiring for ~10 eng roles listed at astronomer.io/careers, but the focus is specifically on distributed systems, observability, and applied AI.
Astronomer is a primary contributor to Apache Airflow and offers our customers a managed Airflow service with a similar business model as Databricks with Spark or Confluent with Kafka. Our tech stack is primarily Go, Python, and TypeScript. The problems we work on generally center around (1) building out our commercial managed Airflow offering, (2) building a data + infra observability stack on top of Airflow, and (3) building AI products and experiences that are genuinely load-bearing and additive to our customers experience on the platform.
We're also starting to write more about the work we're doing, this is pretty representative: https://www.astronomer.io/blog/astro-airflow-re-engineered-f...
Apply using our website or email me - my email is [firstname]@astronomer.io. Include HN in the subject to make sure I don't miss it! If you're emailing me, please include your resume, GitHub and a short note on what you deem to be the most interesting thing you've worked on.
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