Staff Software Engineer, Platform Infrastructure
Astronomer2 months ago
Responsibilities
- Own and develop the platform infrastructure strategy, including defining priorities, making architectural decisions, and owning outcomes.
- Design and build foundational platform systems for Astronomer’s multi-cloud infrastructure estate.
- Make principled build-versus-buy assessments and select appropriate infrastructure tools.
- Create and maintain comprehensive internal documentation and decision records.
- Participate in architectural forums and communicate open, principled technical decisions.
- Write strategy documents and production code to validate and implement platform direction.
Requirements
- Deep practical experience designing and operating distributed production systems at scale, including consistency and availability tradeoffs, failure cascades, backpressure, and graceful degradation.
- Operator-level Kubernetes expertise, including understanding scheduler and control-loop behavior under failure and real production load.
- Strong proficiency in Go and experience building and shipping production systems with it.
- Production experience making architectural decisions across AWS, GCP, and/or Azure.
- Experience defining requirements and driving technology choices across an engineering organization.
- Strong written and verbal communication skills, including design documentation and postmortems, and experience working in globally distributed teams.
- Bonus: system-level experience with relational stores, object stores, or other storage primitives.
- Bonus: experience with SaaS/PaaS products across multiple cloud providers.
- Bonus: familiarity with Apache Airflow or workflow orchestration systems.
Tech Stack
About Astronomer
Astronomer builds Astro, a data orchestration platform powered by Apache Airflow that lets data teams run, monitor, and govern complex pipelines across clouds. It sells managed Airflow and enterprise tooling via subscriptions, backed by expert support and services. Founded in 2018 and headquartered in New York, the privately held company focuses on enterprises operationalizing analytics and AI workloads.