What is the Paytm SDE interview process?

Campus SDE loops typically: HackerRank OA with 2-3 DSA problems → 2 technical interviews (medium DSA, trees, SQL, OOP, projects) → HR. Some 2025 intern+FTE accounts add SQL on OA and live coding on shared IDE. Backend laterals may see LLD (hotel booking / wallet).

What DSA does Paytm ask?

OA: string + graph; sum of graph dependencies; min merges to palindrome array; 3 mixed mediums. Interviews: find all anagrams; rainwater trapping; stock buy/sell II; 4Sum; regex matching; right/top view of BT; binary search; reverse LL; LCA/BST; detect loop; tries (hard). SQL GROUP BY appears.

How selective are funnels?

BIT Mesra SDE-1: OA → 25 → tech1 → 10 → tech2 (tries hard) → 5 HR. Another: OA → 19 → tech rounds → 10 selects. 2021 campus: OA → 88 → tech → 19 offers. Snapshots only.

How should I prepare?

Be strong on trees, hashing, and medium-hard DSA. Practise coding on Google Docs/shared IDE. Know SQL joins/GROUP BY and your projects cold. Approach often matters more than perfect code on first pass.

Paytm Interview Experience 2026

How Paytm campus SDE hiring usually runs: DSA-heavy across OA and two technicals. Synthesized from public GeeksforGeeks and Medium reports with prep notes added - treat this as a prep map, not a script.

Round-wise process at a glance

Round	Typical format	What clears you
OA	HackerRank 2-3 DSA (60-90 min); sometimes +SQL	2 full ACs preferred
Tech 1	Projects + medium DSA + OS/SQL	Working solutions
Tech 2	Harder DSA (tries/trees) or project scale	Depth under pressure
HR	Casual fit / team	Communication

Technical interview experience 1 - SDE On-Campus (selected)

Technical interview experience 1

Candidate profile: Electrical branch; Google Meet panels. Source: GeeksforGeeks Paytm SDE On-Campus (rainwater / tree views).

Round 1 - OA (60 min)

2 DSA in story form: sum of dependencies in graph; min merge operations to make array palindrome
Funnel: 19 shortlisted

Round 2 - Technical (~60 min)

Intro; projects; internship
Approach-focused medium-hard set: trapping rain water; regex matching; best time to buy/sell stock II; 4Sum
Candidate approached 3/4; interviewer valued approach
Everyone from this round also got Round 3 in that account

Round 3 - Technical (~45 min)

Branch/courses icebreaker (corona discharge / Kirchhoff if non-CSE)
Code on Google Sheets: right view of binary tree; binary search on array
Strengths/weaknesses close
Final result: Selected (10 offers same day)

Key takeaways: Approach quality can clear Round 2; tree views and coding without a full IDE are common.

Takeaways

What decided it: Clear approaches on rainwater/tree-view style problems even without a fancy IDE, plus solid project+OS/SQL in tech 1
Common fail: Easy-array-only prep; freezing when the editor is minimal
How to practise: Tree views and medium DSA on notepad/pen; graph OA themes timed

Technical interview experience 2 - SDE-1 / Intern+FTE patterns

Technical interview experience 2

Candidate profile: Composite of BIT Mesra SDE-1 + 2021 campus + 2025 Medium intern+FTE.

BIT Mesra: 2 DSA (basic string + graph) → 25 shortlisted
2021: 3 codes / 70 min → 88 shortlisted
2025: 3 medium codes + 2 SQL (reverse LL; BST LCA / views; running integers style)

Tech rounds

Projects then find all anagrams; OS basics; DS fundamentals → 10 to next
Hard Tries problem rejected one SDE-1 account (5 reached HR)
Alternate: detect LL loop; SQL GROUP BY; hosted website optimisation/scaling; more DSA
Live C++ with complexity on shared IDE (2025)

Casual future scope / team discussion; high pass-through among finalists in one report
Final result: Selected on successful paths

Key takeaways: Second technical can jump difficulty (tries) - revise trees/tries even after an easy first round.

Takeaways

What decided it: Surviving a difficulty jump into tries/trees in tech 2 after an easier first round
Common fail: Coasting after tech 1; no trie practice
How to practise: Trie insert/search/prefix drills; harder trees the day after every easy mock

Technical interview experience 3 - SDE Intern + FTE (2025)

Technical interview experience 3

Candidate profile: CSE (data science track), ABES Engineering College; virtual Google Meet. Source: Medium Paytm SDE Intern + FTE On-Campus 2025.

Assessment

Resume shortlisting, then timed assessment: 3 medium coding + 2 SQL queries
Coding themes reported: linked list, hashing/BST, classic medium DSA

Technical Round 1 (~60 min)

Screen share; interviewer-provided IDE; C++ with complexity explained
Reverse linked list; first non-repeating character; LCA in BST
OOP: overloading vs overriding with examples

Technical Round 2 (~60 min)

Kadane’s algorithm (max subarray sum); LRU cache implementation
DBMS: ACID; clustered vs non-clustered indexes; PK/FK; SQL joins
BFS vs DFS conceptual comparison
Final result: Cleared both technicals (HR/managerial per drive mail)

Key takeaways: 2025 intern+FTE path is heavier on SQL + live IDE than older two-problem OAs; second round pairs classic DSA with database depth.

Technical interview experience 4 - SDE-1 with LLD option

Technical interview experience 4

Candidate profile: Composite of CodeKerdos SDE-1 (2024–25) reports + Glassdoor-style LLD prompts.

OA (60–90 min)

HackerRank-style: 2–4 DSA + Java/SQL MCQs
Medium arrays/strings/graphs; partial solutions hurt shortlists

Technical DSA (live doc)

Top/right view of binary tree; approach-first medium problems
Project deep-dive: stack choices, hardest bug, tests you would add

LLD (team-dependent)

Design a hotel / hotel-booking system: entities, search availability, booking/cancel flows
Double-booking prevention, idempotent confirm API, indexes on date ranges
Some candidates skip LLD; confirm with placement cell whether your batch includes it

Key takeaways: Practice one LLD story even for campus - backend SDE-1 loops sometimes swap pure HLD for booking/wallet-style design.

HR interview experience

Candidate profile: Final-round SDE

HR themes

Background; why Paytm; team/future scope
Strengths/weaknesses
Final result: Offer when cleared

Key takeaways: Technicals do the filtering; still prepare a crisp fintech motivation.

Sample answers for high-frequency questions

Technical

Q. Trapping rain water?
A. Pref max-left / max-right arrays or two pointers; water at i = min(L,R) - height[i]. O(n)/O(1) two-pointer preferred.

Q. Right view of binary tree?
A. BFS level order; record last node each level. Or DFS prioritising right child with depth tracking.

Q. Find all anagrams in a string?
A. Sliding window + frequency maps of pattern length; compare counts. O(n) with fixed alphabet.

HR

Q. Why Paytm?
A. Payments scale in India + concrete product (UPI/wallet/merchant) mapped to backend/reliability interest.

Q. Reverse linked list / LCA in BST?
A. Iterative reverse with O(1) space; BST LCA by walking from root until values split - state both complexities aloud.

Q. LRU cache in round 2?
A. HashMap + doubly linked list; discuss thread safety only if interviewer probes payments concurrency.

Common questions checklist

2-3 medium DSA; possible SQL

Technical

Anagrams; rainwater; stocks; tree views; LL; tries; SQL GROUP BY; projects

Why Paytm; strengths; team fit

Tips from successful candidates

Assessment tips

Graph + string mix is common - do not skip graphs

Interview tips

Practise coding in Docs/Sheets
Lead with approach before syntax

HR tips

Fintech-specific why-Paytm

Practice with Paytm placement papers

Paytm on placementpapers.app

Practice with Paytm placement papers and DSA patterns.

Complete Paytm guide

Return to the complete Paytm placement papers guide.

Sources

Round-wise notes synthesize public GeeksforGeeks and Medium Paytm reports, then add prep takeaways and outcome context. Confirm Intern+FTE vs SDE-1 on your drive mail. Citation inputs:

HR interview

Paytm HR is usually light after hard technicals. Prepare framed answers on the dedicated page.

HR interview questions

Common Paytm HR questions, sample answer frames, and STAR tips.

Paytm hub