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 make you reverse a linked list. Both have real engineers, real scale, and real opinions about your heap usage. So which one do you target first, and does prep for one carry over?
Mostly yes. But the differences matter enough to talk about.
Both Loops Share a Skeleton, Then Split
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 | ₹15-22 LPA (Glassdoor) | ₹13-21 LPA (Glassdoor) |
| Interview difficulty (self-reported) | 3.4 / 5 | 3.0 / 5 |
Swiggy runs a longer, more modular process. Zomato moves faster and folds more into each round.
Round 1: How the OA Filters You Out
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're looking at 10^10 operations. A judge runs roughly 10^8 simple ops per second, so you've handed it a hundred seconds of work for a four-second TL. Your submission just sat there 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: Where DSA Wears a Burrito Costume
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. Recent SDE-1 candidates report a connected-components problem with same-component queries, plus implementing a reverse-search feature like terminal Ctrl+R.
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)
- Snake and Ladder (full working code, four interviewers in the room)
- 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.

The reviewer who has to grade 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 reopens and checks delivery-partner availability at scale
- Design a rate limiter for an API gateway, with deep dives on Go concurrency, Redis, and load balancing
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: HLD Uses Real Features as the Prompt
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). The Swiggy Bytes architecture post is the most relevant prior art.
- 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. You also need a working mental model of last-mile logistics: zone management, partner matching, time-sensitive inventory. An afternoon on Swiggy's engineering blog actually moves the needle. Skip it and you'll sound generic.
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: Where the Bar Raiser Hides
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.
Name the underlying algorithms. Dispatch matching isn't "a greedy nearest-rider loop." It's the assignment problem on a weighted bipartite graph: orders on one side, available riders on the other, edge weights are expected delivery cost. The Hungarian algorithm solves it in O(n³), and production systems batch and bound the graph so the cubic factor doesn't bite. Say that out loud and the interviewer can grade signal instead of guessing.
Dark-store fulfillment is a vehicle-routing variant: pick-and-pack is a tiny TSP over SKU bin locations, outbound batching is multi-vehicle routing with time windows. Knowing the textbook name unlocks the textbook tradeoffs.
You don't need food-tech on your resume. You do need the mental model before you walk in.
Who Has the Harder Interview?
Swiggy, narrowly.
The standalone machine coding round is a filter Zomato doesn't have. Writing clean, extensible, runnable code under a 2.5-hour clock is hard. 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.
Glassdoor's self-reported difficulty is 3.4 vs 3.0. Close, but Swiggy's edge comes from the machine-coding clock, not the rubric.
Prep Strategy
If you're targeting Swiggy:
- Pick five LLD problems and implement each end to end: Splitwise, an LRU cache, a parking lot, an elevator, an order state machine. If you can't finish one in two hours, you're not ready for the round.
- Practice design patterns in code, not just diagrams. Strategy, Observer, State, Factory. The interviewer can tell within five minutes whether you've actually written them.
- For HLD, spend an afternoon on Swiggy Bytes. The 10-minute delivery constraint is a real architectural forcing function, not a marketing line.
If you're targeting Zomato:
- The DSA bar is medium but the breadth is wide. Graph-DP combos, heap problems, tree manipulations, even a Ctrl+R implementation question, all show up in real reports.
- Practice SQL seriously. Schema design, indexing, query optimization. Zomato probes this more than Swiggy does, and most candidates underprep it.
- For system design, drill notification fan-out, rate limiting, and concurrency. Know your Redis patterns cold and have one opinion on WebSockets vs SSE.
For both:
- Think out loud on domain problems before walking in. Design dispatch. Walk the order state machine. Know what happens when a partner goes offline mid-delivery.
- SpaceComplexity runs voice-based mock interviews that simulate interactive DSA and design sessions. That's closer to what these rounds actually feel like than grinding LeetCode in silence with one earbud in.
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.
The One-Paragraph Verdict
Both loops test the same engineer. Swiggy filters on whether you can ship a working LLD inside 2.5 hours and survive a deeper architecture probe; Zomato filters on whether you can hold your own on DSA, SQL, and one solid HLD inside a week. Pick by what you're weak at, not by which sticker looks better. If runnable code on a clock scares you, do Swiggy reps until it doesn't. If schema design and concurrency feel hand-wavy, that's where Zomato will find you.
Further Reading
- Swiggy Bytes: Architecture and design principles behind the delivery-partners app - Dispatch, state machines, real-time tracking from Swiggy's own engineers
- Evolution of Food Delivery Dispatching (Ilya Zinkovich) - Why dispatch is the assignment problem, and how the Hungarian algorithm fits in
- Assignment problem (Wikipedia) - Canonical statement of minimum-weight bipartite matching
- Swiggy SDE-1 Interview Experience (GeeksforGeeks) - Splitwise and Snake-and-Ladder machine-coding writeups
- Zomato SDE-1 Interview Experience (Shivam Bhadani, Medium) - Notification system design and SQL round
- Zomato x Blinkit SDE-I Interview Experience 2024 (GeeksforGeeks) - Rate limiter, Go concurrency, ML/devops breadth