- 5+ years of experience building, designing, testing and maintaining production-grade, large-scale distributed systems.
- Deep technical experience building or strong familiarity with at least 1 or 2 foundational technologies within our stack: Kafka, Flink, Spark, Trino, Druid, Airflow, or Data Catalog/Metadata systems.
- Robust proficiency in Java, Go, or Scala, with a track record of writing clean, highly performant backend code.
- Experience operating and troubleshooting data infrastructure at scale on top of Kubernetes in AWS or GCP.
- Demonstrated ability to influence technical direction across teams, mentor engineers, and drive alignment on complex cross-cutting initiatives.
- B.S. equivalent in CS or sufficient experience.