Meta Software Engineer Interview Questions

Meta Software Engineer interview questions focus heavily on algorithmic problem solving, clean coding, and systems thinking, with senior roles adding larger-scale system design and product-sense prompts. What’s distinctive about interviewing at Meta is the emphasis on writing correct, readable code under time pressure while narrating trade-offs, plus a structured hiring committee and team-matching stage that evaluates consistency of feedback across interviewers. Candidates should expect a recruiter screen, one or two timed coding screens in a shared editor, and an onsite loop with coding, behavioral, and — for higher levels — system or product design. Meta has also piloted AI-enabled coding environments for some interviews, reflecting real-world tooling trends. Effective interview preparation combines sustained practice on medium-to-hard algorithm problems, timed mock interviews in the same editor format, and a clear system-design framework for scoping and scaling solutions. Equally important is preparing concise STAR stories that show impact, ownership, and collaboration. During interviews, communicate assumptions, ask clarifying questions, handle edge cases, and iteratively optimize code while explaining complexity and trade-offs.

352 Questions 1 Company07.06.2026
Showing 20 results
Role
Meta logo
Meta
Hard
Software Engineer

Design a basic bank system API

In-Memory Bank System: API, Data Model, Invariants, Semantics, and Edge Cases Goal Design and implement an in-memory bank system that supports account...

System Design
9
0
66 people solved
Sep 6, 2025
Meta logo
Meta
Hard
Software Engineer

Design an online auction platform

System Design: Real-Time English Auction Platform Goal Design an online auction platform that supports English-style auctions with: - Reserve price - ...

System Design
10
0
80 people solved
Sep 6, 2025
Meta logo
Meta
Medium
Software Engineer

Derive max distinct frequencies for n items

Maximum Number of Distinct Frequency Counts in an Array Context You are given an array of length n ≥ 1 whose elements are arbitrary integers (values m...

Statistics & Math
9
0
74 people solved
Sep 6, 2025
Meta logo
Meta
Medium
Software Engineer

Implement merge-in-place and group cyclic-equivalent strings

You are given two ascending arrays to merge in place and a separate grouping task: Part A — In-place merge without known sizes: - Array A contains sor...

Coding & Algorithms
5
0
48 people solved
Sep 6, 2025
Meta logo
Meta
Medium
Software Engineer

Design core bank operations

Design core bank operations Design a BankSystem Class (Take‑home Project) Goal Design and document a BankSystem class that supports three operations: ...

System Design
3
0
35 people solved
Aug 9, 2025
Meta logo
Meta
Medium
Software Engineer

Design an online chess platform

Design an online chess platform. Requirements: - User matchmaking (ranked/unranked). - Real-time gameplay with low latency moves. - Enforce game rules...

System Design
6
0
53 people solved
Feb 25, 2026
Meta logo
Meta
Medium
Software Engineer

Design a ride-sharing system like Uber

Design a ride-sharing system. Requirements: - Riders request trips with pickup/dropoff. - Drivers send frequent location updates. - Match riders to ne...

System Design
5
0
52 people solved
Feb 25, 2026
Meta logo
Meta
Medium
Software Engineer

Design a price drop tracking service

Design a price tracking service like CamelCamelCamel. Requirements: - Users track products and receive alerts when price drops below a threshold. - Pe...

System Design
6
0
54 people solved
Feb 25, 2026
Meta logo
Meta
Medium
Software Engineer

Design a YouTube/Netflix video platform

Design a video platform similar to YouTube/Netflix. Requirements: - Upload videos (for YouTube-like) and/or ingest catalog (for Netflix-like). - Trans...

System Design
3
0
65 people solved
Feb 25, 2026
Meta logo
Meta
Medium
Software Engineer

Design a nearby places (proximity) service

Design a proximity search service like Yelp/Google Maps. Requirements: - Store places with (place_id, name, lat/lng, category, rating). - Query: “find...

System Design
5
0
44 people solved
Feb 25, 2026
Meta logo
Meta
Medium
Software Engineer

Group a tree by vertical columns

Group a tree by vertical columns Given the root of a binary tree, produce a vertical listing of nodes: assign each node an x-coordinate (root at x=0; ...

Coding & Algorithms
2
0
32 people solved
Aug 7, 2025
Meta logo
Meta
Medium
Software Engineer

Solve sliding window and tree BFS

Solve sliding window and tree BFS Solve a typical medium-level sliding-window problem (e.g., longest substring without repeating characters). LeetCode...

Coding & Algorithms
5
0
51 people solved
Aug 4, 2025
Meta logo
Meta
Hard
Software Engineer

Design leaderboard and messenger systems

Design leaderboard and messenger systems This Meta onsite system-design round asks you to design two large-scale systems back to back. Cover end-to-en...

System Design
7
0
44 people solved
Jul 31, 2025
Meta logo
Meta
Medium
Software Engineer

Solve LeetCode stack and tree problems

Question LeetCode 1249. Minimum Remove to Make Valid Parentheses LeetCode 863. All Nodes Distance K in Binary Tree https://leetcode.com/problems/minim...

Coding & Algorithms
16
0
50 people solved
Jul 29, 2025
Meta logo
Meta
Medium
Software Engineer

Explain behavioral experiences and decisions

Explain behavioral experiences and decisions Behavioral Interview Prompts — Onsite (Software Engineer) Context You are preparing for the onsite behavi...

Behavioral & Leadership
18
0
90 people solved
Jul 29, 2025
Meta logo
Meta
Medium
Software Engineer

Design Ticket Booking Auto Release

Design Ticket Booking Auto Release System Design: Auto-expiring Ticket Reservations Problem Design a ticket-booking system where a reserved ticket aut...

System Design
11
0
40 people solved
Jul 29, 2025
Meta logo
Meta
Medium
Software Engineer

Design LRU cache and pick k closest points

Design LRU cache and pick k closest points 1) Design a fixed-capacity in-memory cache that evicts the least recently used key when full. Support get(k...

Coding & Algorithms
6
0
60 people solved
Jul 29, 2025
Meta logo
Meta
Hard
Software Engineer

Remove minimum invalid mixed brackets

Given a string s containing letters and bracket characters from the set (), [], {}, remove the minimum number of bracket characters so that the result...

Coding & Algorithms
7
0
66 people solved
Feb 17, 2026
Meta logo
Meta
Hard
Software Engineer

Connect next pointers for each tree level

You are given the root of a binary tree where each node has fields left, right, and next (initially null). For every node, set its next pointer to the...

Coding & Algorithms
2
1
27 people solved
Feb 17, 2026
Meta logo
Meta
Medium
Software Engineer

Describe conflict resolution, prioritization, and collaboration

Describe conflict resolution, prioritization, and collaboration Behavioral Prompt: Conflict Resolution and Leadership (Software Engineer, Onsite) Inst...

Behavioral & Leadership
3
0
55 people solved
Jul 15, 2025
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Meta Software Engineer Interview Prep
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Frequently Asked Questions

How difficult are Meta Software Engineer interview questions?
Meta Software Engineer interview questions are typically challenging and calibrated to the role level. Entry-level candidates face medium-to-hard algorithm and data-structure problems under time pressure, while mid and senior interviews add depth with larger-scale system design and architectural reasoning. Interviewers assess not only correct solutions but clarity of thought, trade-off analysis, coding quality, and communication. Expect to be evaluated on problem decomposition, complexity analysis, and edge-case handling. Difficulty varies by team and level, so prepare for both algorithmic rigor and practical engineering judgment when demonstrating solutions and trade-offs.
What does the Meta Software Engineer interview process look like and where does this role appear in the loop?
The typical process begins with a recruiter screen, followed by one or more technical phone or virtual screens that test coding and problem-solving. Successful candidates advance to a multi-round onsite or virtual “loop” consisting of two to three coding interviews, at least one behavioral interview, and for mid-to-senior roles one or more system or product design sessions. Software Engineer candidates therefore appear across coding rounds and design rounds, with behavioral rounds assessing impact and collaboration. Recently, some interviews may include an AI-assisted coding session as part of the loop, replacing a traditional coding round for select candidates.
What timeline should I follow to prepare for a Meta Software Engineer interview?
A structured timeline helps: for entry-level roles plan six to eight weeks of focused practice, for mid-level roles eight to twelve weeks, and for senior roles twelve weeks or more. Early weeks should emphasize algorithmic problem practice and mastering common patterns, followed by dedicated system design study and mock design interviews. In the final two weeks, increase timed mocks, rehearse behavioral stories with clear impact metrics, and simulate CoderPad-style sessions to build speed and clarity. Adjust intensity by your baseline skill level and aim for consistent practice rather than last-minute cramming.
What key subtopics should I focus on for a Meta Software Engineer interview?
Focus on core algorithms and data structures—arrays, strings, trees, graphs, heaps, hash tables, and dynamic programming—plus complexity analysis and memory trade-offs. For mid and senior candidates, prioritize system design: APIs, data modeling, storage choices, caching, load balancing, consistency, and monitoring. Also practice writing readable, testable code and debugging under time constraints. Prepare behavioral stories that show ownership and measurable impact. Depending on the team, expect domain-specific topics like concurrency, networking, or ML basics, so align study with the role description and past interview patterns.
What standout tips and common pitfalls should I be aware of when interviewing for Meta Software Engineer roles?
Standout tips include asking clarifying questions upfront, thinking aloud as you explore solutions, structuring your approach before coding, writing clean code with simple tests, and explicitly discussing complexity and trade-offs. Use mock timed interviews and practice on the same coding environment you’ll face. Common pitfalls are diving into premature optimization, remaining silent when stuck, failing to handle edge cases, and neglecting to align design choices with stated constraints. If you encounter an AI-assisted coding round, demonstrate how you validate AI suggestions and keep ownership of the solution and reasoning throughout the session.

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