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Software Engineer 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 451–480 of 2336 results

  • BloombergHardSoftware Engineer
    Design streaming mention analytics with search and alerts

    This question tests the ability to design a distributed, low-latency streaming pipeline that aggregates mention counts for entities, provides search capabilities, and triggers alerts based on configurable thresholds.

    System DesignOnsiteDistributed SystemsStream ProcessingReal-time Analytics
  • BloombergMediumSoftware Engineer
    Generate all strings by expanding wildcards

    This question evaluates algorithmic string manipulation and combinatorial enumeration skills, focusing on handling wildcard characters and generating all possible binary outcomes from a pattern.

    Coding & AlgorithmsOnsite
  • BloombergMediumSoftware Engineer
    Implement island counting with BFS and DFS

    A Bloomberg Software Engineer onsite coding question: count the number of islands (connected land regions) in an m x n grid under four-directional connectivity. It asks for a linear-time O(m·n) flood-fill plus a second, explicit breadth-first-search implementation, with correctness and complexity analysis, edge-case handling, tests, and a diagonal-adjacency follow-up.

    Coding & AlgorithmsOnsite
  • BloombergMediumSoftware Engineer
    Predict most likely next word from training data

    This problem tests your ability to process textual data into an N-gram model, requiring efficient counting of sequence frequencies to predict the most probable subsequent word.

    Coding & AlgorithmsOnsiteHash MapsNLPData Structures
  • BloombergMediumSoftware Engineer
    Solve Number of Islands

    This question evaluates understanding of graph and grid traversal concepts, specifically identifying connected components in a binary matrix and familiarity with traversal strategies such as BFS and DFS.

    Coding & AlgorithmsOnsite
  • BloombergMediumSoftware Engineer
    Solve three coding tasks from onsite

    This problem tests your ability to handle three distinct algorithmic scenarios: greedy logic for circular traversal, stack-based syntax validation, and state-space exploration on a 2D grid.

    Coding & AlgorithmsOnsiteGreedyStackGraph Search
  • BloombergMediumSoftware Engineer
    Solve two array and string problems

    This two-part question evaluates combinatorial enumeration and subset-generation concepts for arrays alongside string parsing and parentheses-sequence validation for noisy input, measuring algorithm design, correctness, and complexity reasoning in array and string contexts.

    Coding & AlgorithmsOnsite
  • BnsfHardSoftware Engineer
    Maximize Valid Trains from Shared Equipment

    Form the maximum number of valid trains from a shared pool of locomotives and railcars, breaking ties by maximizing total railcar length.

    Coding & AlgorithmsOnsiteBitmask DPBacktrackingBranch and Bound
  • Booking.comMediumSoftware Engineer
    Design a Real-Time Logging System

    This question evaluates a candidate's competency in designing scalable, low-latency telemetry and logging systems, covering distributed systems architecture, ingestion pipelines, data modeling, real-time querying, reliability, backpressure, partitioning, indexing, retention, and operational trade-offs.

    System DesignOnsite
  • Booking.comMediumSoftware Engineer
    Match Bookings to Payments

    This question evaluates skill in matching records across unsorted collections, focusing on data structures, aggregation and handling one-to-one and one-to-many relationships between bookings and payments.

    Coding & AlgorithmsOnsite
  • BoxMediumSoftware Engineer
    Compute Top-K word frequencies under a path

    Compute Top-K word frequencies under a path evaluates algorithm design, data structures, correctness, complexity, edge cases, and implementation details in a realistic interview setting. A strong answer states assumptions, handles edge cases, explains trade-offs, and shows how to validate the result clearly.

    Coding & AlgorithmsOnsite
  • BoxMediumSoftware Engineer
    Design out-of-order windowed stream processor

    Design out-of-order windowed stream processor evaluates algorithm design, data structures, correctness, complexity, edge cases, and implementation details in a realistic interview setting. A strong answer states assumptions, handles edge cases, explains trade-offs, and shows how to validate the result clearly.

    Coding & AlgorithmsOnsite
  • BoxMediumSoftware Engineer
    Diagnose failures via SSH and large logs

    Diagnose failures via SSH and large logs evaluates requirements, scale assumptions, API/data design, architecture, trade-offs, failure modes, and rollout in a realistic interview setting. A strong answer states assumptions, handles edge cases, explains trade-offs, and shows how to validate the result clearly.

    System DesignOnsite
  • BoxHardSoftware Engineer
    Explain and diagram your past system architecture

    Explain and diagram your past system architecture evaluates requirements, scale assumptions, API/data design, architecture, trade-offs, failure modes, and rollout in a realistic interview setting. A strong answer states assumptions, handles edge cases, explains trade-offs, and shows how to validate the result clearly.

    System DesignOnsite
  • BoxMediumSoftware Engineer
    Flip a specific bit in an integer

    This question evaluates a candidate's understanding of bitwise operations and low-level integer manipulation, along with the ability to reason about the time and space complexity of bit-level operations.

    Coding & AlgorithmsOnsite
  • BoxMediumSoftware Engineer
    Identify and fix deadlock in locked code

    Identify and fix deadlock in locked code evaluates requirements, scale assumptions, API/data design, architecture, trade-offs, failure modes, and rollout in a realistic interview setting. A strong answer states assumptions, handles edge cases, explains trade-offs, and shows how to validate the result clearly.

    System DesignOnsite
  • BoxEasySoftware Engineer
    Implement a Leaky Bucket Rate Limiter

    This question evaluates understanding of rate-limiting algorithms, time-based state management, and concurrent programming concepts, including synchronization and test design for boundary and timing behaviors.

    Coding & AlgorithmsOnsite
  • BoxHardSoftware Engineer
    Implement a leaky-bucket rate limiter

    Implement a leaky-bucket rate limiter evaluates requirements, scale assumptions, API/data design, architecture, trade-offs, failure modes, and rollout in a realistic interview setting. A strong answer states assumptions, handles edge cases, explains trade-offs, and shows how to validate the result clearly.

    Coding & AlgorithmsOnsite
  • BoxMediumSoftware Engineer
    Solve classic troubleshooting & algorithm tasks

    This interview question evaluates algorithm design, data structures, correctness, complexity, edge cases, and implementation details in a realistic interview setting. A strong answer for Solve classic troubleshooting & algorithm tasks states assumptions, handles edge cases, explains trade-offs, and shows how to validate the result clearly.

    Coding & AlgorithmsOnsite
  • BrexMediumSoftware Engineer
    Build a Simplified Venmo-Style Peer-to-Peer Payments App with AI Tools

    An AI-assisted coding round prompt: build a simplified Venmo-style peer-to-peer payments app with users, balances, payments and transaction history, using any AI coding tool. It tests scoping a vague prompt, exact money handling, atomic and idempotent payments under concurrency, and the ability to review and explain generated code.

    Software Engineering FundamentalsOnsite
  • BrexMediumSoftware Engineer
    Design a Peer-to-Peer Money Transfer System

    Design a peer-to-peer money transfer product with accurate balances and history despite retries, crashes, and concurrent spending. Define APIs, transfer states, durable accounting, atomic movement, recovery, reconciliation, authorization, and the boundary between an in-memory prototype and production.

    System DesignOnsite
  • ByteDanceHardSoftware Engineer
    Add TTL to an LRU cache

    This question evaluates a candidate's understanding of cache design, LRU eviction policies, time-to-live (TTL) semantics, appropriate data structures, time complexity reasoning, and concurrency control.

    Software Engineering FundamentalsOnsite
  • ByteDanceMediumSoftware Engineer
    Build a validated add-sub calculator

    This question evaluates skills in string parsing, tokenization, input validation, and safe integer arithmetic handling, with emphasis on enforcing format rules such as operator placement, prevention of leading zeros, and 32-bit signed integer bounds.

    Coding & AlgorithmsOnsite
  • ByteDanceHardSoftware Engineer
    Course Schedule Feasibility

    This problem tests the ability to detect cycles in a directed graph using topological sorting or Depth First Search, ensuring all task dependencies can be resolved.

    Coding & AlgorithmsOnsiteGraphTopological SortDFS
  • ByteDanceEasySoftware Engineer
    Debug and Extend a Priority-Aware Python Thread Pool

    This question tests your understanding of thread-safe synchronization primitives, priority queues, and robust resource management in a multi-threaded Python environment.

    Software Engineering FundamentalsOnsiteConcurrencyMultithreadingData Structures
  • ByteDanceMediumSoftware Engineer
    Design Near-Real-Time Top Songs by Country

    This question tests your ability to design a distributed streaming data pipeline that balances high-throughput ingestion with low-latency analytical queries for country-specific rankings.

    System DesignOnsiteStreamingDistributed SystemsScalability
  • ByteDanceMediumSoftware Engineer
    Design a Content Moderation Platform

    This problem evaluates your ability to design a scalable, multi-modal content moderation system that filters user-uploaded media using both automated ML inferences and human review workflows.

    ML System DesignOnsiteSystem DesignMLOpsScalability
  • ByteDanceMediumSoftware Engineer
    Design a Distributed Rate Limiter

    This question tests the ability to design a scalable, low-latency rate limiting service that functions across multiple distributed application servers.

    System DesignOnsiteDistributed SystemsCachingLatency
  • ByteDanceMediumSoftware Engineer
    Design a High-Frequency Job Scheduler

    This question tests your ability to design a distributed, high-frequency job scheduling system that handles millions of tasks with varying priorities while ensuring reliability and strict execution guarantees.

    System DesignOnsiteDistributed SystemsScalabilityConcurrency
  • ByteDanceMediumSoftware Engineer
    Design a Payment System: Time-Boxed High-Level Design

    A time-boxed system design question asking for a high-level payment system that charges users through an external payment provider. It tests the end-to-end checkout flow, idempotent retries, a payment state machine and ledger, asynchronous provider notifications, reconciliation and failure handling.

    System DesignOnsite