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Generate AI-powered Zerodha interview questions for all 3 rounds. Process: Take-home Assignment → Technical × 2 → Culture Fit.
From our curated bank of 10 Zerodha-specific questions. The generator produces fresh AI-tailored questions each run.
What is Zerodha's engineering culture and what kind of engineers do they look for?
Tip: Zerodha: India's largest stock broker by active clients. Culture: extreme ownership, small teams building large things, no micromanagement. Engineers often own full products solo. Interview style: take-home assignment (real problem), deep technical discussion on your solution, then culture-fit conversation focused on ownership and simplicity.
How would you design Zerodha Kite's order management system to handle market open volatility (9:15 AM surge)?
Tip: Challenge: 10× normal order flow in 15 seconds at market open. Strategy: pre-validate orders before 9:15 (margin check, symbol validation) → queue in Redis/Kafka → dispatch to broker in burst mode. Rate limiting per user. Priority queues: limit orders pre-queued at 9:14 for instant dispatch at open.
What are the key differences between Zerodha's Go-based backend and the typical Java/Node.js stacks?
Tip: Go advantages at Zerodha: low-latency order processing, goroutines for concurrency (no thread overhead), small binary size, fast compilation. Zerodha's Kite platform is heavily Go-based. Knowing Go basics (goroutines, channels, defer) is a genuine differentiator for Zerodha interviews.
Explain Zerodha's approach to open-source. What projects have they contributed to?
Tip: Zerodha open-sources significant parts of their stack: Kite Connect API (broker API), Gokiteconnect (Go client), kite.trade (Python client), and multiple financial data tools. They also maintain Mandi (go-based task runner) and GoCraft. Mentioning their open-source work signals genuine research beyond their Wikipedia page.
Write code to implement a simple moving average (SMA) and exponential moving average (EMA).
Tip: SMA(n): rolling sum of last n prices / n — use a deque for O(1) window update. EMA: EMA = price × k + EMA_prev × (1-k) where k = 2/(n+1). EMA reacts faster to recent prices. These are core technical indicators — Zerodha's interview may ask you to implement charting algorithms.
Practise questions for each stage to maximise your preparation.
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