EvalcueAITechnical hiring
System design interviews: what to evaluate
Evaluate requirements, APIs, data models, architecture, scaling choices, failure handling, and trade-offs without reducing system design to buzzword counting.
Evaluate the reasoning path
A strong system-design response is more than a final diagram. Look for requirement clarification, sensible scope, core objects and APIs, data ownership, expected traffic, failure modes, and explicit trade-offs.
Do not reward architecture jargon
Kafka, Redis, sharding, queues, and caches are useful only when they solve a stated problem. A smaller architecture with clear reasoning is often stronger than a diagram packed with infrastructure names.
Probe important assumptions
Good follow-ups test the candidate’s model: what happens when traffic spikes, a dependency fails, two users update the same resource, data must be deleted, or a hotspot appears? The goal is to reveal engineering judgment, not to force one canonical design.
Capture evidence by dimension
Store evidence separately for requirements, API design, data model, high-level architecture, scale, reliability, and trade-offs. This makes reviewer decisions more explainable than a single opaque score.