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Provide expert Apache Airflow support to customers using Astronomer’s managed service. Troubleshoot complex data engineering, Kubernetes, cloud, and distributed-system issues; optimize configurations; meet SLAs; and guide customers into production. Collaborate with data engineers, DevOps teams, administrators, and management. Participate in pager and weekend on-call rotations, mentor junior teammates, contribute to Airflow or internal monitoring projects, and provide product feedback.

Build AI systems and applications for Astronomer’s data context layer, including semantic search, retrieval, data modeling, code generation, and root cause analysis. Develop LLM- and embedding-powered developer tools, solve large-scale information retrieval challenges, shape technical architecture, and translate applied research into products. Collaborate across engineering, research, and product teams while contributing to open source, technical publications, and community initiatives.

Design, build, and operate foundational, multi-cloud platform systems. Own platform strategy, make build vs. buy decisions, write design docs and code, ensure reliability at scale, document decisions and run architectural forums, and improve operational maturity for enterprise-grade SaaS platform services.

Design, build, and own Astronomer’s multi-cloud platform infrastructure. Lead architecture and implementation of production-scale distributed systems, operate Kubernetes clusters under load, write design docs and postmortems, make tradeoff decisions, and drive cross-team technology choices to improve platform scalability, reliability, and developer experience.

Lead design and implementation of Astronomer’s multi-cloud platform infrastructure. Own platform strategy, build production-grade distributed systems (Kubernetes/Go), make architecture decisions, document designs and postmortems, and drive cross-team technical choices to scale a SaaS/PaaS offering for enterprise customers.

Deliver technical solutions and implement Astronomer products for large customers, guide Apache Airflow adoption, act as the interface between customers, sales, and product, troubleshoot distributed systems, and support cloud-native data architectures while covering EST hours and occasional travel for meetings.

Hunt and close new enterprise accounts (1000+ employees) in the Northeastern US. Lead full sales cycle from prospecting to close, deliver demos and tailored proposals, collaborate with marketing/sales engineering/product, expand existing customers, and travel periodically. Hybrid role (3 days/week in Boston or NYC).

Build and maintain core platform systems powering Astro's public API, authentication, billing, and alerting. Design scalable backend services, collaborate with product and frontend teams, improve platform reliability, and contribute to architecture and operational practices.

As a Sales Engineer at Astronomer, guide clients in deploying data workflows, conduct demos, and influence product direction. Collaborate to solve data challenges and grow expertise in data engineering.

Design, build, test, and deploy scalable production platform infrastructure. Own CI/CD, observability, and reliability practices; collaborate cross-functionally, participate in incident management, create documentation, and drive platform engineering standards and automation.