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.

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What this interview tests

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

Common question themes

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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