Founding engineer building Stripe's high-throughput security telemetry pipeline

Interview for Stripe's newly established Product Security Data Platforms team, building a customer-facing security data pipeline that processes millions of events per second into actionable security telemetry via API-first services. Expect streaming data-engineering depth (Kafka/Flink/Spark-class systems), strong Java/C++/Rust fundamentals, and 99.99%+ availability operational rigor, framed as 0-to-1, founding-team work.

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What this interview tests

High-throughput streaming data pipelines (Kafka/Flink/Spark-class)
API-first service design for external/enterprise consumers
Java/C++/Rust systems programming
High-availability operations (99.99%+, on-call, observability)
Security telemetry / anomaly detection collaboration
0-to-1 founding-team technical design and documentation

Common question themes

Designing a low-latency pipeline to process millions of security events/sec

Building a streaming API that external enterprise customers ingest into their own SOC tools

Deep dive on Java/C++/Rust systems experience and a large-scale system you shipped

Maintaining 99.99%+ availability: on-call, incident response, observability practices

Partnering with security researchers to turn raw signals into anomaly-detection logic

Technical design doc writing and mentoring on a newly formed, 0-to-1 team

How candidates describe it

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