Swiggy vs Zomato Software Engineer Interviews: The Real Differences

- Swiggy's standalone 2.5-hour machine coding round is the biggest structural difference: runnable code, SOLID principles, and live extensibility follow-ups that Zomato doesn't have.
- Both open with a HackerRank OA at LeetCode medium difficulty covering arrays, trees, graphs, and basic DP.
- Swiggy's DSA rounds use food-tech framing (top-K restaurants, delivery routing); Zomato leans harder on SQL depth, concurrency, and distributed systems.
- Swiggy takes 2-6 weeks with 4-5 rounds including a bar-raiser style final; Zomato moves in roughly one week with a streamlined 4-round process.
- System design at both companies rewards knowing food-tech specifics: order state machines, dispatch algorithms, and notification fan-out at scale.
- Self-reported difficulty is nearly identical (3.4 vs 3.3 out of 5); Swiggy is narrowly harder because of the machine coding requirement.
Two food delivery companies are hiring. Both will make you reverse a linked list. Both have real engineers, real scale, and real opinions about your heap usage. So which one should you target first, and does prep for one carry over to the other?
Mostly yes. But the differences matter enough to talk about.
The Lay of the Land
Both companies run roughly the same four-act structure: online assessment, technical rounds (DSA plus design), a managerial round, and HR. But the details diverge in ways that change how you prep.
| Dimension | Swiggy | Zomato |
|---|---|---|
| Total rounds | 4-5 | 4 |
| Machine coding | Dedicated 2.5-hour round | Folded into tech round |
| System design | LLD + HLD as separate session | Combined in tech round 2 |
| DSA difficulty | Medium to hard | Medium |
| Bar-raiser equivalent | Yes (architecture deep-dive) | No explicit equivalent |
| Typical timeline | 2-6 weeks | ~1 week |
| SDE-1 salary range | ₹16-22 LPA | ₹12-18 LPA base |
| Interview difficulty (self-reported) | 3.4 / 5 | 3.3 / 5 |
Swiggy runs a longer, more modular process. Zomato moves faster and folds more into each round.
Round 1: The Online Assessment
Both companies open with a HackerRank assessment: two to three DSA problems, 60-90 minutes, sometimes a debugging question thrown in for fun.
The difficulty is roughly LeetCode medium. Arrays, strings, trees, the occasional graph. Dynamic programming at the harder end. Neither company is trolling you with LeetCode hards at the OA stage.
What trips candidates up isn't the algorithm. It's the edge cases. Food-tech OAs have constraints that make naive solutions time out. If your solution is O(n²) and n is 10^5, you already know. Your submission just sat there for four seconds and then failed.
Cover these before either OA:
- Sliding window and two pointers
- Hashing (frequency maps, prefix sums)
- Trees: traversals, BST operations
- BFS/DFS on graphs
- Basic DP (1D and 2D)
Round 2: The DSA Interview
Both companies run 45-60 minute sessions with one problem, maybe two.
At Swiggy, the DSA round often comes with a delivery domain twist. Find the top-K nearest restaurants (heap plus BFS). Optimize a delivery route under constraints. Implement a surge pricing system. The core algorithm is standard, but it's wearing a burrito costume. Candidates who've thought about food-tech systems recognize the structure faster.
At Zomato, the DSA round is more textbook. Reported questions include graph-DP combos, BST operations, LCS optimization with segment trees, and priority queue internals.
The interviewer is watching you think, not just whether you get the answer. Narrate your reasoning. Say the brute force out loud. Move toward optimal incrementally. Going silent for five minutes is a bad signal at both companies, and the interviewer has to write about it.
Common patterns that appear at both:
- K-closest / top-K (heap)
- Shortest path variants (Dijkstra, BFS on weighted graphs)
- Sliding window for time-windowed aggregation
- Union-Find for connected delivery zones
- DP for route optimization under constraints

The interviewer's face when you've been "thinking through the approach" for 25 minutes.
Round 3: Machine Coding Is Where They Split
Swiggy runs machine coding as a standalone 2.5-hour round. You get a problem statement, an IDE, and two and a half hours to build something that actually runs. No pseudocode. No whiteboard. Your code has to compile, pass test cases, and not fall apart when the interviewer asks you to add a feature. You cannot leave TODO: implement this.
Zomato folds LLD into a technical round. You might spend 20-30 minutes on a design discussion with whiteboarding or pseudocode, but there's no dedicated machine coding session.
For Swiggy's machine coding round, the problems are well-documented in interview reports:
- Splitwise (expense sharing with percentage splits and group management)
- Food ordering system (order lifecycle state machine, restaurant and delivery partner entities)
- Cache management system (LRU or LFU)
- Elevator controller
- Parking lot with dynamic pricing
They're evaluating clean class design, SOLID principles, extensibility, and whether your code breaks on edge cases. The interviewer will ask you to add a new feature mid-session to see if your design survives contact with reality.

Swiggy's machine coding reviewer opening your 2.5-hour submission.
For Zomato's LLD discussions, the domain-specific angle is strong. Candidates frequently report:
- Design the order dispatch system (matching delivery partners to orders)
- Design a notification service that fires when a restaurant opens near a delivery zone
- Design a rate limiter for an API gateway using Redis
The patterns Zomato interviewers favor: Strategy (for dispatch algorithms), Observer (for notifications), State (for order lifecycle). Talk fluently about these three patterns with code examples and you're prepared.
Round 4: System Design (HLD)
Both companies run a high-level design round, typically for SDE-2 and above. For SDE-1, this shows up as a lighter LLD discussion.
At Swiggy, the HLD round uses real Swiggy features as the prompt. Reported problems include:
- Design the Swiggy Instamart dark store fulfillment system (10-minute delivery, inventory management, order batching)
- Design a Top-K Restaurant Discovery system (real-time rankings, geo-filtering, personalization signals)
- Design the order management pipeline end to end
Generic distributed systems knowledge helps, but you should also understand last-mile logistics: zone management, delivery partner matching, time-sensitive inventory. Reading Swiggy's engineering blog for an afternoon genuinely moves the needle here.
At Zomato, the HLD questions are similar in flavor but more systems-focused:
- Design a notification delivery system at scale (fan-out for push/SMS/email)
- Design the restaurant discovery API with personalization
- Rate limiting and throttling for the partner API
Zomato probes harder on SQL vs NoSQL tradeoffs and concurrency. Several interview reports mention deep dives into schema design, indexing strategies, and WebSocket-based real-time updates. Come ready to explain when you'd reach for Redis vs Postgres vs Cassandra, and why.
For both: Kafka for event-driven pipelines, Redis for caching and rate limiting, and horizontal sharding patterns go a long way.
Round 5: Managerial and HR
Both processes end with a managerial round, sometimes with the engineering manager, sometimes a senior SDE.
Swiggy sometimes runs what amounts to a bar-raiser round here. Candidates at SDE-2 report a final session that goes deep on architecture: defend the choices in your current system, explain what you'd do differently at 10x scale, walk through a production incident and how you diagnosed it. Technical depth in disguise.
Zomato's managerial round is more conventional: project experience, how you've handled disagreements, technical leadership examples, why food-tech. Shorter and less probing.
The HR round at both companies is standard: compensation expectations, joining timeline, team preferences. Nobody has ever been rejected here.
The Domain Advantage Is Real
One thing that separates both interviews from a generic FAANG loop: they reward candidates who've actually thought about food delivery as an engineering problem.
The state machine for an order (placed, confirmed, preparing, dispatched, delivered, cancelled) comes up constantly. Delivery partner matching tradeoffs (nearest vs. least-busy vs. zone-based) show up in LLD. Fan-out for push notifications, real-time ETA estimation, inventory management for 10-minute delivery. All of these appear in some form.
You don't need to have worked at a food-tech company. But you should have a mental model of how these systems work before you walk in.
Who Has the Harder Interview?
Swiggy, narrowly.
The standalone machine coding round is a filter that Zomato doesn't have. Writing clean, extensible, runnable code under a 2.5-hour clock is hard. A lot of candidates who can whiteboard a solid design fall apart when they have to implement it, handle edge cases, and answer extensibility questions in the same session.
Swiggy also has more rounds, a longer timeline (2-6 weeks), and the bar-raiser style final technical. Zomato's process is more streamlined and moves in about a week.
Both are legitimate engineering interviews. Clearing either requires the same core skills. The self-reported difficulty is 3.4 vs 3.3. Nearly identical.
Prep Strategy
If you're targeting Swiggy:
- Do dedicated machine coding practice. Pick 5-6 classic LLD problems and implement them fully: working code, edge cases, clean class hierarchy. workat.tech has good practice problems for this format.
- Practice design patterns in code, not just diagrams. Strategy, Observer, State, Factory. Write them out, not bullet points.
- For system design, read about Instamart's architecture. Think through dark store logistics and 10-minute delivery constraints specifically.
- Expect 4-5 rounds spread over 2-6 weeks.
If you're targeting Zomato:
- The DSA bar is high. Focus on graph-DP combos, heap problems, and tree manipulations.
- Practice SQL seriously. Schema design, indexing, query optimization. Zomato probes this more than Swiggy does.
- For system design, think through real-time notification systems, rate limiting, and concurrency. Know your Redis patterns cold.
- Once the process starts, expect it to move fast.
For both:
- Practice thinking out loud on domain-relevant problems. Design a delivery dispatch system before your interview. Walk through the order state machine. Know what happens when a delivery partner goes offline mid-delivery.
- SpaceComplexity runs voice-based mock interviews that simulate interactive DSA and design sessions, which is closer to what these interviews actually feel like than grinding LeetCode in silence.
For full deep dives on each company, the Swiggy interview guide and Zomato interview guide cover each process in detail. For the underlying DSA patterns both companies test, DSA for backend engineers is worth reading before you start.
Key Takeaways
- Both processes run 4-5 rounds: OA, DSA, design (LLD + HLD), managerial, HR.
- The biggest difference is Swiggy's dedicated 2.5-hour machine coding round. Zomato folds LLD into a technical round. This changes how you prep.
- Swiggy asks more domain-specific DSA (Top-K restaurants, delivery routing). Zomato leans harder on DB/SQL depth and concurrency.
- System design at both companies rewards candidates who understand food-tech specifics: order state machines, dispatch algorithms, notification at scale.
- Swiggy's process is longer (2-6 weeks) and has a bar-raiser style final round. Zomato moves faster (~1 week).
- Self-reported difficulty is nearly identical: 3.4 vs 3.3 out of 5. Both are achievable with focused prep.
- For Swiggy: prioritize machine coding practice and running code. For Zomato: prioritize SQL, concurrency, and distributed systems depth.
Further Reading
- Swiggy Engineering Blog - Architecture deep dives from Swiggy's own engineers
- Zomato Engineering Blog - Real system design articles from the Zomato team
- GeeksforGeeks: Swiggy Interview Experiences - Candidate reports with question details
- GeeksforGeeks: Zomato Interview Experiences - Candidate reports including on-campus and off-campus
- workat.tech: Machine Coding Practice - The best resource for Swiggy-style machine coding prep