Swiggy · SDE · Intern
Practice Swiggy interviews with free AI mocks — medium DSA, design-lite feature rounds, and product-thinking behaviorals. Pair with the Swiggy prep guide and PYQs before your rounds.
Practice these aloud in Apply's mock interview room — speaking beats reading. Pair with PYQs before enabling coding rounds.
DSA
Given delivery times, find the maximum number of orders one rider can do.
Tip: Sort by end time and scan greedily — the classic interval pattern.
Coding
Find the shortest path from a point to a restaurant on a grid with blocks.
Tip: BFS with a visited grid; discuss memory for large grids.
Design-lite
Design restaurant search with filters — APIs and data model.
Tip: Entities, endpoints, indexing, and one ranking signal.
DSA · Hashing
Group orders by user and find the most frequently reordered dish.
Tip: Hash map counting; handle ties and empty input.
Technical
How would you cache restaurant menus to keep them fast and fresh?
Tip: Cache keys, invalidation, and one consistency scenario.
Behavioral
Tell me about a feature you would add to Swiggy and why.
Tip: One user problem, one metric, and a small scoped feature.
Open /dashboard/mock-interview, set company to Swiggy and role to SDE or intern, enable coding, and practice DSA plus design-lite rounds aloud. Use /prepare/swiggy-interview-questions-2026 and /pyqs for OA-level prep.
Yes — sessions include a design-lite segment with feature prompts like search and caching, matching the rounds freshers can face.
Yes after Google sign-in. Unlimited sessions with scored feedback on Apply.