Walmart Global Tech interview process (2026)

Round-by-round breakdown of the Walmart Global Tech software engineering interview across 4 levels and 18 rounds: interview mode, sample questions, and worked solutions.

Walmart Global Tech salary & ratings · All interview processes

Software Engineering Intern (Summer / Grad Intern, Bengaluru or Chennai) — off-campus 'Sparkplug' track + on-campus driv

Difficulty: Medium · Timeline: ~2 months · Recommended prep: 6-10 weeks · Cooldown: No formally published cooldown. Sparkplug is an annual cycle

  1. Round 0: Online MCQ Assessment (CS fundamentals + aptitude)

    Assessment · 1 min · difficulty 2/5 · elimination round

    Mode of interview: Online assessment · HackerRank

  2. Round 1: Online Coding Challenge(s) — DSA

    Assessment · 90 min · difficulty 3/5 · elimination round

    Mode of interview: Online assessment

    Sample question: Coin Change — Given an array of coin denominations and a target amount, return the fewest number of coins needed to make up that amount. If the amount cannot be formed by any combination of coins, return -1. You may use each coin an unlimited number of times.

  3. Round 2: Technical Interview(s) — DSA (on-campus / shortlist track only)

    Onsite · ~45 min · difficulty 2/5 · elimination round

    Mode of interview: Onsite or virtual onsite interview

    Sample question: Word Search — Given an m x n grid of characters and a target word, return true if the word exists in the grid. The word is built from letters of sequentially adjacent cells (horizontally or vertically neighboring); the same cell may not be used more than once.

  4. Round 3: HR / Behavioral (Culture Fit)

    Behavioral · ~15-20 min · difficulty 1/5

    Mode of interview: Live behavioral interview

  5. Round 4: Offer

    Offer · N/A

    Mode of interview: Offer discussion

SDE-2 / Software Engineer III (Bengaluru / Chennai IDC)

Difficulty: Medium · Timeline: 2 weeks · Recommended prep: 1 month · Cooldown: 6 months

  1. Round 0: Online Assessment (HackerRank / HackerEarth)

    Assessment · ~90 minutes · difficulty 2/5 · elimination round

    Mode of interview: Online assessment

    Sample question: Coin Change — Given coin denominations and a target amount, return the fewest number of coins needed to make up that amount, or -1 if it cannot be formed. Unlimited coins per denomination.

  2. Round 1: Technical Interview 1 (DSA + OOP/SQL)

    Phone · ~60 minutes · difficulty 2/5 · elimination round

    Mode of interview: Remote phone or video interview

    Sample question: Minimum Number of Platforms Required — Given arrival and departure times of N trains at a station, find the minimum number of platforms needed so that no train waits. A platform is occupied from arrival to departure inclusive.

  3. Round 2: Technical Interview 2 (DSA + light LLD / DB basics)

    Onsite · ~60 minutes · difficulty 2/5 · elimination round

    Mode of interview: Onsite or virtual onsite interview

    Sample question: Design a Parking Lot (LLD) — Low-level design of a multi-level parking lot: vehicle/spot types, ticketing, allocation strategy, pricing, and clean OO class design with REST endpoints. Interviewers probe Observer/Factory patterns and extensibility.

  4. Round 3: Hiring Manager / Behavioral

    Behavioral · ~15-30 minutes · difficulty 1/5

    Mode of interview: Live behavioral interview

SDE-3 / Software Engineer IV / Senior Software Engineer (Bengaluru / Chennai IDC)

Difficulty: Hard · Timeline: ~1-3 weeks · Recommended prep: 1-2 months · Cooldown: No official cooldown published (LOW confidence).

  1. Round 0: Phone Screen / OA (Karat or HackerRank) - when present

    Phone · ~60 minutes · difficulty 2/5 · elimination round

    Mode of interview: Remote phone or video interview

    Sample question: Trapping Rain Water — Given N non-negative bar heights representing an elevation map (each width 1), compute how much rain water can be trapped after raining.

  2. Round 1: Coding / DSA (sometimes + SQL)

    Onsite · ~60 minutes · difficulty 3/5 · elimination round

    Mode of interview: Onsite or virtual onsite interview

    Sample question: Find Median from Data Stream — Design a structure that supports adding integers from a stream and querying the median of all elements so far in O(log n) per add and O(1) per query. Input: first line count n, then n integers. Print the running median after each insertion.

  3. Round 2: Low-Level Design (LLD)

    Onsite · ~60 minutes · difficulty 3/5 · elimination round

    Mode of interview: Onsite or virtual onsite interview

    Sample question: Design a Real-Time Inventory Management System (HLD) — Design Walmart's inventory system tracking stock across thousands of stores and warehouses in near real time: consistency of counts, high write throughput, reservations at checkout, reconciliation, and availability during regional failures.

  4. Round 3: High-Level Design / System Design

    System_design · ~60 minutes · difficulty 4/5 · elimination round

    Mode of interview: Live system design interview

    Sample question: Design a High-Availability E-commerce Checkout / Order System (HLD) — Design the checkout and order pipeline for Walmart's e-commerce app: cart, payment, inventory reservation, order placement and returns, idempotency, and staying available under peak (e.g. holiday) load.

  5. Round 4: Hiring Manager / Behavioral

    Behavioral · ~20-60 minutes · difficulty 2/5

    Mode of interview: Live behavioral interview

Staff Software Engineer (Bengaluru / Chennai IDC)

Difficulty: Hard · Timeline: ~2-4 weeks · Recommended prep: 2+ months emphasizing deep system design · Cooldown: No official cooldown published (LOW confidence).

  1. Round 0: Coding / DSA (lighter weight)

    Onsite · ~60 minutes · difficulty 3/5 · elimination round

    Mode of interview: Onsite or virtual onsite interview

    Sample question: LFU Cache — Design and implement an LFU (Least Frequently Used) cache with O(1) get and put. On eviction remove the least-frequently-used key; break ties by least-recently-used. Input: first line capacity, then a stream of 'put k v' and 'get k' operations. Output each get result in order.

  2. Round 1: Low-Level Design (LLD)

    Onsite · ~60 minutes · difficulty 3/5 · elimination round

    Mode of interview: Onsite or virtual onsite interview

    Sample question: Design a Price Recommendation / Dynamic Pricing System (HLD) — Design a system that computes and serves dynamic prices across a huge catalog: ingest demand/competitor/inventory signals, run pricing models, propagate price updates at low latency and high consistency, and guardrail against bad prices.

  3. Round 2: High-Level / Distributed System Design (deep)

    System_design · ~60 minutes · difficulty 4/5 · elimination round

    Mode of interview: Live system design interview

    Sample question: Design a High-Throughput Payments / Banking System (HLD) — Design a payments/settlement system handling ~1M transactions/sec: strong consistency for balances, idempotent transfers, retries and settlement pipelines, PCI compliance, sharding and fault tolerance.

  4. Round 3: Hiring Manager / Leadership Behavioral

    Behavioral · ~45-60 minutes · difficulty 2/5

    Mode of interview: Live behavioral interview

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Worked sample solutions (code, design diagrams, and STAR answers) for every round are available in the FAANGPlus app: open interview processes.