Cloudflare
Mid
Distributed Systems Engineer, Analytics & Alerts (Data Org) — Cloudflare
Build and scale Cloudflare's customer-facing analytics APIs (including GraphQL Analytics API) and near real-time alerting platform, operating at billion-events-per-second scale on top of a ClickHouse-backed analytical database. This role is specifically about API performance, query optimization, and alerting reliability — grounded in Go, SQL, and observability tooling.
走进这场面试
免费 · 一场按这个岗位校准的真语音模拟
这场面试考什么
- Go-based distributed systems and scalable customer-facing APIs
- SQL/analytical query optimization at scale
- Real-time alerting: anomaly detection and reliable notification delivery
- Observability at scale (Prometheus/Grafana, high-cardinality metrics)
- GraphQL API design (Analytics API)
- On-call operational ownership of production APIs
常见提问方向
Diagnose and optimize a slow analytical query against a large dataset
Design a near real-time alerting system from logs/metrics to notification, covering reliability and false-positive/negative tradeoffs
Walk through a distributed system you built or scaled in Go
How would you instrument and monitor a high-cardinality metrics pipeline
Design or critique a public API (e.g., GraphQL) for analytics data access at scale
Tell me about an on-call incident you handled for a customer-facing service
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