Flipkart, Razorpay and Swiggy Interview Process: What Indian Product Companies Ask
How Indian product companies like Flipkart, Razorpay and Swiggy typically hire engineers: online coding, DSA rounds, machine coding, system design and a hiring-manager round. What differs from big-tech loops and how to prepare.
Indian product companies such as Flipkart, Razorpay and Swiggy overlap with global big-tech hiring on data structures and algorithms, but they put more weight on building something that works. The exact rounds differ by company, team and year, so treat this as the typical pattern and confirm details with your recruiter.
Typical stages
- Resume shortlisting or an online coding test. Often 2–3 problems at medium difficulty.
- DSA round(s). One or two live interviews with medium-to-hard problems.
- Machine coding / low-level design. 60–120 minutes to build a small system in code.
- System design (for experienced candidates). Large-scale design with real-world constraints.
- Hiring manager round. Past projects, ownership, impact, culture and role fit.
Machine coding: the round most candidates underprepare
You're given a spec, for example a parking lot, a ride booking service, an expense splitter, a rate limiter. You must produce:
- Working code that runs on provided cases
- Clear class structure and separation of concerns
- Extensibility: can a new vehicle type or pricing rule be added without rewriting?
- Basic input validation and some tests
Full playbook: Low-level design and machine coding round guide.
System design flavors
India-scale prompts often center on commerce, payments and delivery:
- Order management and inventory under flash sale load
- Payment gateway flows with idempotency and retries
- Real-time delivery tracking and assignment
- Notification and messaging systems
Use the structure in the system design cheat sheet and practice with 12 common questions.
What the hiring manager round looks for
- Projects you owned end to end and their measurable impact
- Trade-offs you made and what you'd change
- How you work with product and other teams
- Learning speed and career direction
Prepare STAR stories: STAR method guide.
Preparation plan (6 weeks)
| Week | Focus |
|---|---|
| 1–2 | DSA patterns, 40 medium problems |
| 3 | 5 machine coding problems under timed conditions |
| 4 | System design: 4 India-scale designs |
| 5 | Behavioral stories, project deep dive |
| 6 | Mocks and rest |
A machine coding walkthrough
A typical prompt: build a ride booking or order assignment system with these operations: add drivers, request a ride, assign the nearest driver, complete a ride. You have 90 minutes.
Minutes 0-10: Clarify. What does "nearest" mean? What are the constraints on driver state? Do we need persistence or in-memory is fine? Is the input a command stream or method calls?
Minutes 10-25: Model. Entities: Driver, Rider, Ride, Location. Services: DriverRepository, MatchingStrategy, RideService. Make the matching rule an interface so new strategies drop in.
Minutes 25-65: Implement the happy path with a runnable main or tests.
Minutes 65-85: Add validation (unknown driver, double booking), edge cases and a few unit tests.
Minutes 85-90: Summarize design choices and how you would extend them.
Full approach and a worked parking-lot example: LLD and machine coding guide.
Sample system design prompts
- Design a flash-sale inventory system that never oversells
- Design a payment gateway flow with retries and idempotency
- Design real-time delivery tracking for millions of orders
- Design a notification service (walkthrough)
- Design a ride-hailing backend (walkthrough)
What the hiring manager wants to hear
- Ownership: projects you took from idea to production
- Impact in numbers: latency reduced, revenue protected, incidents avoided
- Trade-offs: why you chose a queue over synchronous calls, or SQL over NoSQL
- Collaboration: how you worked with product, QA and operations
Online assessment tips
- Read all questions first and solve the easiest ones first
- Watch constraints to pick the right complexity
- Keep the last 10 minutes for edge cases
- Follow the proctoring rules (what proctoring watches)
Differences from service-company hiring
Service companies emphasise aptitude, fundamentals and communication. Product companies emphasise problem solving, design quality and ownership. Compare with TCS, Infosys and Wipro.
Sources and freshness
This guide is based on publicly shared candidate experiences and the companies' own careers pages, last reviewed in October 2026. Each company changes its process, test names, cutoffs and role bands regularly, and these differ by team, level and city. Treat the structure here as a typical pattern and let your recruiter's email override anything we say. If you notice something out of date, tell us and we will correct it.
Related reading
Frequently asked questions
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