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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.
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Showing 451–480 of 2336 results
- BloombergHardSoftware EngineerDesign 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 EngineerGenerate 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 EngineerImplement 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 EngineerPredict 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 EngineerSolve 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 EngineerSolve 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 EngineerSolve 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 EngineerMaximize 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 EngineerDesign 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 EngineerMatch 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 EngineerCompute 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 EngineerDesign 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 EngineerDiagnose 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 EngineerExplain 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 EngineerFlip 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 EngineerIdentify 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 EngineerImplement 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 EngineerImplement 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 EngineerSolve 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 EngineerBuild 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 EngineerDesign 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 EngineerAdd 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 EngineerBuild 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 EngineerCourse 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 EngineerDebug 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 EngineerDesign 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 EngineerDesign 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 EngineerDesign 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 EngineerDesign 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 EngineerDesign 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