The opportunity
We're on a mission to build the best platform in the world for engineers to understand and scale their systems, applications, and teams. We operate at high scale—trillions of data points per day—allowing for seamless collaboration and problem-solving among Dev, Ops and Security…
What you'll do
Design and build high-throughput data pipelines for billing and cost attribution
Drive platform improvements: latency reduction, Spark optimization, sharding, and cross-datacenter reliability
Own root-cause investigations on billing accuracy issues in collaboration with Finance and Product teams
Contribute to new billing features
Work across Python and Scala, with technologies including Spark, Airflow, Trino, and Apache Iceberg
Participate in on-call rotation and maintain a high reliability bar for production systems
What they're looking for
- Contribute to engineering standards and help grow the technical culture of the team
- You have significant experience building and operating production data: pipelines at scale using Spark and Airflow
- You are comfortable owning complex, cross-functional investigations and driving them to resolution
- You understand how to balance feature delivery with platform health and technical debt
