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System Design Interview Questions

Practice 9403 coding, system design and machine learning questions from 546 companies, sorted by role, topic and interview round. Every question has step-by-step hints, a code runner that supports 8 languages and an AI mentor; members also get the full solution walkthrough.

9403
Questions
546
Companies
11
Topics
8
Languages

Showing 661–690 of 1311 results

  • MetaHardSoftware Engineer
    Design a bank system with transfers

    This question evaluates system-design and transactional engineering skills for financial services, including API design, data modeling, correctness under holds and transfer expirations, idempotency, merge semantics, and complexity reasoning.

    System DesignHR Screen
  • MetaHardSoftware Engineer
    Design a basic bank system API

    This question evaluates a candidate's ability to design and implement an in-memory banking API, focusing on data modeling, API semantics, invariants (such as monotonic timestamps and non-negative balances), idempotency, and basic concurrency control.

    System DesignOnline Assessment
  • MetaHardSoftware Engineer
    Design a content processing service

    This question evaluates understanding of designing scalable, reliable content-processing systems that handle high-throughput ingestion, ML-based classification and rule evaluation, priority/backpressure mechanisms, storage and API design, experimentation hooks, and operational concerns like observability and cost.

    System DesignOnsite
  • MetaMediumSoftware Engineer
    Design a fitness tracking app

    This problem tests your ability to design a scalable backend for a fitness tracking application, focusing on high-frequency sensor data ingestion, geospatial route storage, and efficient retrieval of historical user activities.

    System DesignOnline AssessmentScalabilityGeospatialNoSQL
  • MetaMediumSoftware Engineer
    Design a flight search platform

    This question tests the ability to design a high-scale search platform that aggregates volatile data from heterogeneous third-party providers while maintaining low latency and high availability.

    System DesignOnsiteDistributed SystemsAPI DesignCaching
  • MetaMediumSoftware Engineer
    Design a game leaderboard service

    This question tests the ability to design a high-throughput, low-latency leaderboard system, focusing on data structures for ranking, storage trade-offs, and scalability under heavy write and read loads.

    System DesignOnsiteScalabilityData StructuresCaching
  • MetaMediumSoftware Engineer
    Design a large-scale web crawler

    This question evaluates a candidate's ability to design scalable, fault-tolerant distributed systems for web-scale data acquisition, covering competencies such as crawler architecture, URL frontier management, deduplication, per-domain rate limiting and robots.

    System DesignOnsite
  • MetaMediumSoftware Engineer
    Design a live video comments system

    This problem tests your ability to design a high-throughput, real-time messaging system capable of handling sudden spikes in concurrent viewers and maintaining low latency for chat delivery.

    System DesignOnsiteWebSocketsPub/SubScalability
  • MetaMediumSoftware Engineer
    Design a marketplace price tracking service

    This question evaluates a candidate's ability to design scalable, reliable ingestion and processing pipelines, time-series price storage and querying, deduplication across users, and notification/alert mechanisms for a large-scale price-tracking service.

    System DesignOnsite
  • MetaMediumSoftware Engineer
    Design a mini banking system

    This interview question evaluates requirements, scale assumptions, API/data design, architecture, trade-offs, failure modes, and rollout in a realistic interview setting. A strong answer for Design a mini banking system states assumptions, handles edge cases, explains trade-offs, and shows how to validate the result clearly.

    System DesignTechnical Screen
  • MetaMediumSoftware Engineer
    Design a post privacy/visibility system

    This question evaluates a candidate's ability to design access control and visibility mechanisms for social posts, covering privacy models, efficient read-time enforcement, data modeling, caching strategies, and handling dynamic friendship and privacy updates.

    System DesignOnsite
  • MetaMediumSoftware Engineer
    Design a price drop tracking service

    This question evaluates system-design competencies such as scalable architecture, data modeling for time-series price history, external data ingestion and integration, alerting and monitoring, and trade-off reasoning for large-scale services.

    System DesignOnsite
  • MetaHardSoftware Engineer
    Design a product notifications system

    This question evaluates system design competencies for building a large-scale notifications platform—covering architecture, APIs, data modeling, event pipelines, delivery semantics (retries, deduplication, idempotency), targeting/segmentation, localization, monitoring, and legal compliance such as GDPR/CCPA.

    System DesignOnsite
  • MetaMediumSoftware Engineer
    Design a ranking and recommendation system

    This problem tests your ability to design a multi-stage recommendation pipeline that balances low-latency retrieval with high-precision ranking at scale.

    System DesignTechnical ScreenMachine LearningRecommendation SystemsScalability
  • MetaMediumSoftware Engineer
    Design a real-time ad impression aggregator

    This question evaluates a candidate's ability in scalable real-time system design, covering competencies such as stream processing, event aggregation, time-windowed metrics, handling late and out-of-order events, and designing for very high write throughput.

    System DesignTechnical Screen
  • MetaHardSoftware Engineer
    Design a real-time messenger

    A Meta software-engineer system-design onsite question: design a real-time messenger supporting 1:1 and group chats at 100M MAU with p99 send-to-receive latency under 150 ms. It covers APIs, message ordering and idempotency, delivery semantics, multi-device sync, WebSocket fanout, storage/search, E2EE, abuse controls, retention/GDPR, multi-region failover, and observability.

    System DesignOnsite
  • MetaHardMachine Learning Engineer
    Design a recommendation system

    This question evaluates competence in designing large-scale recommendation systems and ML engineering skills such as candidate generation, feature store design (offline/online and point-in-time correctness), real-time signal ingestion, ranking and re-ranking, online exploration, cold-start strategies, feedback-bias mitigation, experimentation, and operational reliability. It is commonly asked to assess the ability to make architecture-level trade-offs for scalability, latency and throughput targets, multi-objective optimization, data governance and outage fallback behavior; it falls under the System Design and Machine Learning domain and requires practical, architecture-level application with conceptual trade-off reasoning rather than low-level implementation detail.

    System DesignOnsite
  • MetaHardSoftware Engineer
    Design a scalable banking system

    This problem tests your ability to design a distributed, high-concurrency ledger system that maintains strict consistency and atomicity for financial transactions.

    System DesignTechnical ScreenDistributed SystemsACIDDatabase Design
  • MetaHardSoftware Engineer
    Design a ticketing purchase system

    This question evaluates understanding of large-scale system design and distributed systems concepts, including concurrency control, consistency models, real-time fanout, payment idempotency, and failure handling for high-concurrency ticketing with interactive seat maps.

    System DesignOnsite
  • MetaMediumMachine Learning Engineer
    Design a weapon-ad harmful content detection system

    This question assesses the ability to architect a scalable, multi-modal machine learning pipeline for detecting policy-violating content (weapon advertisements) within a high-throughput ad-delivery system.

    System DesignTechnical ScreenMulti-modal MLComputer VisionNLP
  • MetaMediumSoftware Engineer
    Design ad click tracking and dashboard at scale

    This problem tests your ability to design a high-throughput, fault-tolerant ingestion pipeline and an aggregation service for real-time analytics dashboarding.

    System DesignOnsiteDistributed SystemsData PipelinesScalability
  • MetaHardSoftware Engineer
    Design an Instagram-like photo-sharing platform

    This question evaluates system design competencies including distributed systems, scalability and capacity planning, data modeling and storage strategies, API design, media processing and CDN integration, consistency models, operational reliability, observability, and estimation.

    System DesignOnsite
  • MetaMediumSoftware Engineer
    Design an On-Demand Delivery Platform

    This question evaluates skills in designing scalable, reliable distributed systems with emphasis on state management (shopping cart persistence), real-time telemetry (courier location updates), workflow orchestration (order lifecycle and dispatch), and operational concerns like scalability and reliability.

    System DesignOnsite
  • MetaHardSoftware Engineer
    Design an Online Game Leaderboard

    A Meta software-engineer system-design screen: design the backend for an online game leaderboard supporting score recording, a global top-N board, a friends board, a player's rank and nearby players, and daily/weekly/seasonal/all-time windows at high write volume and low read latency. The model answer separates a durable score event log from an in-memory sorted ranking store, computes the friends board on read, and covers tie-breaking, caching, sharding, consistency trade-offs, anti-cheat, and rebuilds.

    System DesignTechnical Screen
  • MetaHardSoftware Engineer
    Design an ad click tracking system

    This problem tests your ability to design a high-scale, fault-tolerant distributed system capable of processing massive volumes of real-time ad click events while ensuring data consistency and accuracy.

    System DesignOnsiteDistributed SystemsHigh-throughputData Engineering
  • MetaHardSoftware Engineer
    Design an in-memory cloud storage system

    This question tests your ability to design a high-performance, in-memory distributed metadata store that supports hierarchical file structures, quota management, and efficient retrieval of top-k largest files.

    System DesignOnline AssessmentData StructuresConcurrencyTrie
  • MetaMediumSoftware Engineer
    Design an online auction system

    A Meta software engineer onsite system design question: build an eBay-style online auction platform supporting proxy bidding, reserve prices, buy-it-now and soft close at 500k concurrent auctions and 5M watchers with p99 bid-to-UI latency under 200 ms. The answer covers APIs, data model, the proxy-bid pricing algorithm, single-writer-per-auction consistency, idempotent bid placement, real-time push trade-offs (polling vs long polling vs SSE vs WebSockets), sharding, finalization and recovery. It also covers anti-sniping, fraud, escrow payments, auditability and capacity estimation.

    System DesignOnsite
  • MetaMediumSoftware Engineer
    Design an online chess game with undo and leaderboard

    This problem tests the ability to design a low-latency, stateful system for a turn-based game, focusing on synchronization, undo history management, and scalable real-time leaderboard updates.

    System DesignOnsiteReal-timeConcurrencyWebSockets
  • MetaHardSoftware Engineer
    Design an online coding judge

    This problem tests the ability to architect a distributed, multi-tenant system for sandboxed execution of untrusted code, emphasizing security, scalability, and performance isolation.

    System DesignOnsiteSecurityDistributed SystemsSandboxing
  • MetaMediumSoftware Engineer
    Design an online coding platform

    This question evaluates a candidate's ability to design scalable, secure distributed systems with emphasis on architecture, data modeling, service design, sandboxed code execution, and performance under high load for an online coding platform.

    System DesignOnsite