Khatabook builds ledger and lending products for small Indian merchants, so its engineering interviews reward practical full-stack ability across Node.js, Go, React, and Postgres.
The loop is lean and fast: a coding round, one or two technical rounds on DSA plus API and database design, and a culture round with a founder or lead. Interviewers value ownership, product thinking, and clean pragmatic code over algorithmic showmanship.
About Khatabook
Khatabook is a Bengaluru SMB fintech providing a digital ledger app for 10M+ small merchants to track credit/payments, with features for payroll, inventory, and business banking.
Apply via Khatabook careers page, referral, or LinkedIn
Online or take-home coding assessment
One or two technical rounds on DSA, API design, and databases
Culture and founder or hiring-manager round on ownership and fit
Round 1 - Coding Round (60 to 90 min)
One or two DSA problems on arrays, strings, and hashing, sometimes a small take-home API task in Node.js or Go.
Round 2 - Technical Interview (45 to 60 min)
API and REST design, PostgreSQL schema and query design, caching, plus practical backend problem solving.
Round 3 - Culture and HM Round (30 to 45 min)
Ownership stories, product and merchant empathy, past project deep-dive, and team-fit discussion.
Sourced from 2+ candidate post-mortems. Hit Practice to answer any one with AI voice feedback.
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Sign up free: unlock all questionsThe typical Khatabook recruitment process has 4 stages: Apply via Khatabook careers page, referral, or LinkedIn → Online or take-home coding assessment → One or two technical rounds on DSA, API design, and databases → Culture and founder or hiring-manager round on ownership and fit.
Khatabook typically conducts 3 interview rounds: Round 1 - Coding Round (60 to 90 min): One or two DSA problems on arrays, strings, and hashing, sometimes a small take-home API task in Node.js or Go.; Round 2 - Technical Interview (45 to 60 min): API and REST design, PostgreSQL schema and query design, caching, plus practical backend problem solving.; Round 3 - Culture and HM Round (30 to 45 min): Ownership stories, product and merchant empathy, past project deep-dive, and team-fit discussion..
HireStepX recommends the LEDGER framework for this type of interview: Language depth in Node or Go, Efficient DSA, Database and schema design, Growth and product sense, End-to-end ownership, REST and API design
To answer this question well, HireStepX recommends the LEDGER approach: Language depth in Node or Go, Efficient DSA, Database and schema design, Growth and product sense, End-to-end ownership, REST and API design Ground your answer in a specific real example from your own experience.
To answer this question well, HireStepX recommends the LEDGER approach: Language depth in Node or Go, Efficient DSA, Database and schema design, Growth and product sense, End-to-end ownership, REST and API design Ground your answer in a specific real example from your own experience.
To answer this question well, HireStepX recommends the LEDGER approach: Language depth in Node or Go, Efficient DSA, Database and schema design, Growth and product sense, End-to-end ownership, REST and API design Ground your answer in a specific real example from your own experience.
To answer this question well, HireStepX recommends the LEDGER approach: Language depth in Node or Go, Efficient DSA, Database and schema design, Growth and product sense, End-to-end ownership, REST and API design Ground your answer in a specific real example from your own experience.
To answer this question well, HireStepX recommends the LEDGER approach: Language depth in Node or Go, Efficient DSA, Database and schema design, Growth and product sense, End-to-end ownership, REST and API design Ground your answer in a specific real example from your own experience.