Razorpay's coding rounds anchor data-structures and algorithms to real payments scenarios: idempotent retries, NPCI rate limits, and settlement reconciliation.
In 2026 expect medium-to-hard problems where the interviewer wants your reasoning stated aloud, a clean implementation, and an awareness that the code would sit in a payments backend where correctness and concurrency matter. Pure algorithmic answers that ignore edge cases like duplicate callbacks or partial failures tend to lose points; framing your solution around production reality is the Razorpay differentiator.
About Razorpay
Indian fintech offering payment gateway, payouts, business banking (RazorpayX), and POS rails for merchants.
Online coding assessment or resume screen
Technical coding round one on DSA
Technical coding round two on harder problems and system framing
Hiring-manager round, then offer
Round 1 (60-90 min)
online assessment with DSA problems.
Round 2 (60 min)
live coding on arrays, strings, hashing, or trees.
Round 3 (60 min)
harder coding round with complexity analysis and payments-context follow-ups.
Sourced from 2+ candidate post-mortems. Hit Practice to answer any one with AI voice feedback.
The typical Razorpay recruitment process has 4 stages: Online coding assessment or resume screen → Technical coding round one on DSA → Technical coding round two on harder problems and system framing → Hiring-manager round, then offer.
Razorpay typically conducts 3 interview rounds: Round 1 (60-90 min): online assessment with DSA problems.; Round 2 (60 min): live coding on arrays, strings, hashing, or trees.; Round 3 (60 min): harder coding round with complexity analysis and payments-context follow-ups..
HireStepX recommends the Payments-Aware DSA framework for this type of interview: Solve the algorithm cleanly with a stated complexity, then name the production edge case (idempotency, concurrency, partial failure) the code must survive
To answer this question well, HireStepX recommends the Payments-Aware DSA approach: Solve the algorithm cleanly with a stated complexity, then name the production edge case (idempotency, concurrency, partial failure) the code must survive Ground your answer in a specific real example from your own experience.
To answer this question well, HireStepX recommends the Payments-Aware DSA approach: Solve the algorithm cleanly with a stated complexity, then name the production edge case (idempotency, concurrency, partial failure) the code must survive Ground your answer in a specific real example from your own experience.
To answer this question well, HireStepX recommends the Payments-Aware DSA approach: Solve the algorithm cleanly with a stated complexity, then name the production edge case (idempotency, concurrency, partial failure) the code must survive Ground your answer in a specific real example from your own experience.
To answer this question well, HireStepX recommends the Payments-Aware DSA approach: Solve the algorithm cleanly with a stated complexity, then name the production edge case (idempotency, concurrency, partial failure) the code must survive Ground your answer in a specific real example from your own experience.
Arrays, strings, hashing, heaps, trees, and graphs, frequently framed around payments scenarios like retries, rate limiting, and reconciliation rather than abstract puzzles.