Builds and operates scalable data infrastructure including compute fleets, storage systems, and streaming platforms to support OpenAI's AI products, research, and analytics. Requires 4+ years in data or infrastructure engineering with expertise in Spark, Kafka, and distributed systems.
185k – 385k/yr
Hybrid4+ YOEData Engineering
About the role
Responsibilities
Design, build, and maintain data infrastructure systems such as distributed compute, data orchestration, distributed storage, streaming infrastructure, machine learning infrastructure while ensuring scalability, reliability, and security.
Ensure our data platform can scale by orders of magnitude while remaining reliable and efficient.
Accelerate company productivity by empowering your fellow engineers & teammates with excellent data tooling and systems.
Collaborate with product, research and analytics teams to build the technical foundations capabilities that unlock new features and experiences.
Own the reliability of the systems you build, including participation in an on-call rotation for critical incidents.
Requirements
4+ years in data infrastructure engineering OR 4+ years in infrastructure engineering with a strong interest in data.
Experience supporting Spark, Kafka, Flink, Airflow, Trino, or Iceberg as platforms.
Well-versed in infrastructure tooling like Terraform.
Experienced in debugging large-scale distributed systems.
Nice-to-Haves
Comfortable with ambiguity and rapid change.
Intrinsic desire to learn and fill in missing skills, and talent for sharing learnings clearly.
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