Stage 2: System Design (60 minutes)
Give an open-ended, ambiguous system design problem, not a memorisable classic. The goal is to see how they navigate uncertainty: do they clarify requirements first, think about scale inflection points, reason about failure modes, and make explicit tradeoffs? A senior engineer who walks to the whiteboard and starts drawing boxes before understanding the problem is a signal.
This stage is the highest-signal round. It is also where the gap between a practiced candidate and a genuinely experienced one becomes clear.
Stage 3: Coding Round (60 to 90 minutes)
Avoid pure algorithm puzzles for senior hires. Use a problem that resembles the work: debugging a distributed system behaviour, designing a data model for a real constraint, or extending a service with a defined API contract. The rubric is code quality, error handling, and how they respond when the problem is extended beyond what they prepared.
Stage 4: Values and Collaboration (45 minutes)
Senior engineers lead technical decisions that affect the whole team. Ask for stories, not opinions. What did they do when they disagreed with a technical direction? How did they onboard a junior who was struggling? What did they break in production and what did they change? Stories reveal the actual behaviour. Our full assessment framework maps values to role-specific evidence.
For senior backend engineers in India, the strongest candidates consistently show production ownership in their answers, not just technical skill.
The loop works when every stage is linked: the screen sets the bar, the system design probes judgment, the coding confirms depth, and the values round confirms fit. Missing one stage usually means discovering the gap in month three. The engineering and AI hiring practice applies this loop across every senior backend and platform search we run.
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