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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 511–540 of 1026 results
- IntuitMediumSoftware EngineerFind largest file in a directory using Bash
This problem tests your ability to navigate the file system using command-line utilities and process streaming data to identify files based on size metadata.
Software Engineering FundamentalsOnline AssessmentBashLinuxScripting - J.P. MorganMediumSoftware EngineerArchitecture and Data-Scaling Trade-offs
This question assesses the ability to articulate trade-offs between architectural styles (monolith vs. microservices) and data storage strategies (sharding vs. replication) in the context of a high-throughput financial system.
Software Engineering FundamentalsOnsiteSystem DesignMicroservicesDatabase - J.P. MorganMediumSoftware EngineerException Handling in a RESTful Service with @ControllerAdvice
This problem tests your ability to design a centralized exception handling mechanism in a Java Spring environment, ensuring consistent API error responses and proper abstraction of internal implementation details.
Software Engineering FundamentalsOnsiteSpring BootREST APIException Handling - J.P. MorganMediumSoftware EngineerExplain Polymorphism and Binary Trees, and How You Use AI Tools as an Engineer
A software engineering fundamentals discussion with no coding problem: explain polymorphism with examples, describe binary trees and binary search trees with their traversals and costs, and explain how you use AI tools responsibly. It tests precise definitions, complexity reasoning and engineering judgment.
Software Engineering FundamentalsTechnical Screen - J.P. MorganMediumSoftware EngineerJava Core Deep Dive: Concurrent Collections and Java 8 Features
This question tests your understanding of thread-safety in Java collections and your ability to refactor imperative code into functional Java 8 style streams.
Software Engineering FundamentalsOnsiteJavaConcurrencyCollections - J.P. MorganMediumSoftware EngineerReason About Top K Frequent Values at Scale
Tests understanding of single-machine bounded-heap top-k frequency counting and how to scale the design to distributed, partitioned data pipelines.
Software Engineering FundamentalsTechnical ScreenHeapHash MapDistributed Systems - J.P. MorganMediumSoftware EngineerReview a PR for thread-safe request handling
This problem tests your ability to identify race conditions and thread-safety issues in a concurrent service and suggests robust design patterns for handling shared resources.
Software Engineering FundamentalsTechnical ScreenConcurrencyThread-SafetyDesign Patterns - J.P. MorganMediumSoftware EngineerReview concurrent code quality
This question tests your ability to identify thread-safety issues, improper synchronization, and architectural code smells within a multi-threaded data processing class.
Software Engineering FundamentalsTechnical ScreenConcurrencyJavaThread-Safety - Jane StreetMediumSoftware EngineerDesign Exchange and Instrument Abstractions for Quote Arbitrage
Design an in-memory cross-exchange quote aggregator and arbitrage detector that identifies profitable, actionable price discrepancies while handling invalid spreads, quote staleness, and order sizing.
Software Engineering FundamentalsTechnical ScreenLow-Level DesignTrading SystemsData Structures - Jane StreetMediumSoftware EngineerTurning Interview Code into a Reusable Library or API
This question evaluates a candidate's skills in software design and engineering practices, including modularization, API and library interface design, documentation and typing, robustness and error handling, testing, packaging, versioning, and state/transport considerations.
Software Engineering FundamentalsTechnical Screen - Jane StreetMediumSoftware EngineerWrite an Interpreter for a Small Language with Load, Store and Arithmetic
Practice writing an interpreter for a small language with load, store and integer arithmetic instructions, using an assumed stack-based specification. It tests parsing source text into instructions, executing them with correct operand order, and reporting errors such as stack underflow, undefined variables and division by zero.
Software Engineering FundamentalsTechnical Screen - Jump TradingEasySoftware EngineerDesign Stack Evaluators and Low-Latency Memory Primitives
This question tests your understanding of low-latency systems programming, focusing on thread-safe memory management, cache locality, and efficient expression parsing.
Software Engineering FundamentalsTechnical ScreenC++ConcurrencyLow-Latency - Jump TradingHardSoftware EngineerDesign a Compact Columnar File Format
Design an append-friendly, compact columnar file format optimized for fast analytical scans over tabular financial market data (e.g., tick feeds or order book snapshots). Define the on-disk binary layout, reader/writer abstractions, serialization rules, and operational trade-offs.
Software Engineering FundamentalsTechnical Screensystems-designfile-formatscolumnar-storage - KikoffEasySoftware EngineerBuild a Robust Log Parser and Prefix-Operator Search
Implement a log parser and query engine that converts raw server log lines into structured records and supports filtering via prefix-operator tokens.
Software Engineering FundamentalsTechnical ScreenString ParsingData StructuresSoftware Architecture - KikoffEasySoftware EngineerValidate a Third-Party Identity Payload
Implement a pipeline that validates a third-party identity verification response against schema requirements and business rules while returning sanitized failure reason codes.
Software Engineering FundamentalsTechnical ScreenData ValidationPythonClean Code - LayerzeroMediumSoftware EngineerChoose a Safe Polling Strategy for Delayed Records
Evaluate whether delayed arrivals can support a fixed polling interval that always yields exactly one new record. Use worst-case reasoning, then define a practical live contract covering observation limits, warm-up, buffering, cursors, deduplication, retries, out-of-order data, and multiple pollers.
Software Engineering FundamentalsTechnical Screen - LegoraMediumSoftware EngineerDesign a Cloud-Provider Upload Adapter
Design a modular, provider-agnostic upload adapter interface that enables clients to perform direct uploads to cloud storage (e.g., S3, GCS, Azure Blob). The problem evaluates object-oriented API design, error normalization, capability negotiation, and idempotent verification workflows.
Software Engineering FundamentalsOnsiteapi-designobject-oriented-designcloud-storage - LiftoffMediumSoftware EngineerDesign and implement core Tetris game logic
This question evaluates practical implementation skills in game logic, real-time state and event management, piece rotation and movement handling, line-clearing algorithms, and clean, testable code organization.
Software Engineering FundamentalsOnsite - LinkedInMediumSoftware EngineerDesign a Raffle Drum That Draws Duplicate Tickets Fairly in O(1)
Design a drum that holds raffle ticket codes, where the same code can be dropped in more than once, and supports adding a ticket, pulling a specific ticket out, and drawing one at random so every physical ticket in the drum is equally likely to come out — all in average O(1) time. Tests combining an array with a hash index so removal and random draw both stay constant time even with string keys and duplicates.
Software Engineering FundamentalsTechnical Screendesignhash-maprandomization - LinkedInMediumSoftware EngineerDesign a meeting scheduler API
This problem tests your ability to design a thread-safe scheduling system using interval management techniques and efficient data structures for range querying.
Software Engineering FundamentalsOnsiteObject-Oriented DesignConcurrencyIntervals - LinkedInMediumSoftware EngineerExplain a Project with a Diagram and Deep Dive into Your Design
Communicate a project through a simple data-flow diagram, then explain design choices, implementation ownership, failure behavior, and validation.
Software Engineering FundamentalsOnsite - LinkedInMediumSoftware EngineerExplain the Design of a Recent Feature
Tests your ability to communicate software design clearly by breaking down a production feature into its architecture, trade-offs, individual ownership, and verification strategy.
Software Engineering FundamentalsOnsiteSystem DesignTechnical CommunicationArchitecture - LinkedInMediumSoftware EngineerImplement map and render to DOM
This question evaluates a candidate's skills in vanilla JavaScript utility implementation and DOM rendering, covering array and plain-object iteration semantics, higher-order functions, input validation, error handling, and safe text rendering for browser environments.
Software Engineering FundamentalsHR Screen - LinkedInHardSoftware EngineerMerge and Serialize N-ary Trees
Tests recursive tree manipulation, immutable merging semantics, and robust string serialization/deserialization with input validation.
Software Engineering FundamentalsTechnical Screentreerecursionparsing - LinkedInMediumSoftware EngineerRandomized String Multiset With Average O(1) Insert, Remove and Weighted Random Pick
Design a collection of strings that allows duplicates and supports insert, remove and a random pick in average constant time, where each stored occurrence is equally likely to be returned. It tests hash map and array layout, index bookkeeping on removal, and how string keys change the cost analysis.
Software Engineering FundamentalsTechnical Screen - Luma AIMediumSoftware EngineerReverse-Engineer an App's Undocumented API and Rebuild It With Better UX
A take-home asks you to reverse-engineer the undocumented API behind an existing app and rebuild the app with a better user experience, then review its fragility and extend it with safe write support. Tests API discovery, schema inference, resilient client design, credential and legal judgment, and UX scoping.
Software Engineering FundamentalsOnsite - LyftMediumSoftware EngineerDesign a Globally Versioned Key-Value Store
Design a globally versioned key-value store with sparse key histories, binary-search reads, atomic version publication, and correct history retention.
Software Engineering FundamentalsOnsite - LyftMediumSoftware EngineerDesign a Transactional In-Memory Key-Value Store
Design a transactional in-memory key-value store with correct value counts, efficient rollback, and explicitly defined command semantics.
Software Engineering FundamentalsOnsite - LyftMediumSoftware EngineerImplement Stateful Fetch-N over a Paginated Upstream
Implement a stateful fetchN wrapper over a paginated upstream that returns items in source order across repeated calls. Define buffering, page-token progression, exhaustion, empty pages, invalid input, and retry behavior without losing or duplicating items.
Software Engineering FundamentalsOnsite - LyftMediumSoftware EngineerIn-Memory Key-Value Store with Nested Begin, Commit, and Rollback Transactions
A coding question to implement an in-memory key-value store with begin, set, unset, commit and rollback, where transaction blocks can be nested and committed changes can no longer be rolled back. It tests how state is recorded per block, restoring keys that were absent, nested commit semantics, and operation complexity.
Software Engineering FundamentalsOnsite
Intuit
J.P. Morgan
Jane Street
Liftoff
LinkedIn
Luma AI
Lyft