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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 5401–5430 of 5874 results
- TrexquantMediumSoftware EngineerMaintain median of a data stream
This question evaluates proficiency in streaming data aggregation, dynamic order-statistics maintenance, and algorithmic complexity analysis for insertion and query operations.
Coding & AlgorithmsOnsite - TrexquantMediumSoftware EngineerStreaming Median Tracker
This question evaluates a candidate's ability to design a data structure that maintains a running median over a stream of numbers, testing knowledge of heaps and balanced data partitioning. It is a classic coding and algorithms interview problem used to assess understanding of amortized time complexity and efficient online statistics tracking, requiring practical implementation rather than just conceptual discussion.
Coding & AlgorithmsTechnical Screen - TripStackMediumSoftware EngineerCompute minimum resources for overlapping intervals
This question evaluates understanding of interval overlap reasoning, resource-allocation and scheduling concepts, and proficiency with algorithmic complexity and appropriate data structure choices.
Coding & AlgorithmsTechnical Screen - TripStackHardSoftware EngineerExplain Go concurrency and database choices
This question evaluates a candidate's understanding of Go concurrency primitives and scheduler behavior, cross-language concurrency comparisons, database model trade-offs (relational, document, columnar, key–value), and end-to-end storage design for high-concurrency systems.
System DesignTechnical Screen - TripadvisorMediumSoftware EngineerBuild blog UI with API data and likes
This question evaluates front-end JavaScript competencies including UI rendering, client-side state management, asynchronous REST API integration, loading and error handling, and resolving author identity relative to the current user.
Coding & AlgorithmsOnline Assessment - TruefoundryMediumSoftware EngineerDesign Interviewer Availability and Atomic Booking APIs
Design a relational data model and concurrent APIs for managing interviewer availability and atomic candidate interview booking.
System DesignOnsiteConcurrencyDatabase DesignAPI Design - TruefoundryMediumSoftware EngineerQuery a Versioned Array
This problem tests your ability to design a data structure that supports efficient state snapshots and point queries, specifically focusing on space-time trade-offs.
Coding & AlgorithmsOnsiteData StructuresBinary SearchArrays - TruefoundryMediumSoftware EngineerVerify Ordering Under a Scrambled Alphabet
This problem tests string manipulation, hash map usage for indexing, and the ability to compare two strings based on custom character priority.
Coding & AlgorithmsOnsiteStringsSortingHash Map - TubiMediumSoftware EngineerExecute TTL Cache Operations with Fetch-on-Miss
Implement a deterministic TTL cache simulator with put, get, delete, size, and fetch-on-miss operations. Preserve expired records until deletion or replacement, model loader success and failure explicitly, and validate timestamped JSON-compatible inputs.
Coding & AlgorithmsTechnical Screen - TubiMediumSoftware EngineerMake Cache Fetch Thread-Safe and Single-Flight
Design a thread-safe cache fetch operation that coalesces concurrent misses for the same key while allowing different keys to load in parallel. Define linearization points, generation-aware publication, lock scope, timeout and error handling, deletion races, and stale completion cleanup.
Software Engineering FundamentalsTechnical Screen - TuringMediumSoftware EngineerCount permutations with exactly n inversions
This Coding & Algorithms question evaluates combinatorial counting and algorithmic skills related to permutations and inversion counts, emphasizing dynamic programming and modular arithmetic for large-result handling.
Coding & AlgorithmsTechnical Screen - TuroMediumSoftware EngineerCheck if a word exists in a grid
This question evaluates a candidate's skills in backtracking search, grid traversal, and managing state for constrained path-finding problems. Commonly asked to assess algorithmic problem-solving, recursion and memory-management (including in-place visited marking) within the Coding & Algorithms domain, it emphasizes practical application and understanding of time and space complexity trade-offs rather than purely theoretical concepts.
Coding & AlgorithmsTechnical Screen - TuroMediumSoftware EngineerDesign trip booking REST API and schema
This question evaluates RESTful API design, temporal data modeling, inventory management strategies, request/response/status-code design, data schema and indexing, and handling booking lifecycle changes such as extensions.
System DesignTechnical Screen - TuroMediumSoftware EngineerPlan a major database version upgrade
This question evaluates competency in database upgrade planning, including data migration strategies, cutover coordination, compatibility considerations, change-data-capture versus dual-write trade-offs, and rollback and risk management.
System DesignTechnical Screen - TuroMediumSoftware EngineerRoute HTTP requests to pods in a cluster
This question evaluates understanding of request routing, service discovery, virtual service abstractions, load balancing algorithms, health checks, and fault-tolerance mechanisms within containerized cluster environments, testing competencies in distributed systems and networked service architecture.
System DesignTechnical Screen - TwitchMediumSoftware EngineerSolve four design-leaning coding problems
This multi-part question evaluates algorithmic problem-solving, data structure design and manipulation (such as LRU cache semantics), stateful simulation and scoring logic, chronological quota accounting for billing, and set/map operations for detecting overlaps.
Coding & AlgorithmsOnsite - Two SigmaMediumSoftware EngineerAutoscale a Server Fleet from Throughput Readings
This question evaluates algorithmic implementation skills and numeric reasoning, focusing on stateful simulation of autoscaling behavior and capacity arithmetic under streaming throughput readings.
Coding & AlgorithmsTechnical Screen - Two SigmaHardSoftware EngineerCompute maximum currency exchange rate
Compute maximum currency exchange rate 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 & AlgorithmsTechnical Screen - Two SigmaMediumSoftware EngineerDesign GenAI Fine-Tuning and Agent Tradeoffs
Design an enterprise GenAI research agent platform, evaluating trade-offs between fine-tuning methods (Full, LoRA, QLoRA) versus RAG, alongside agent orchestration, structured outputs, and safety controls.
ML System DesignTechnical ScreenLLM Fine-TuningAI AgentsModel Serving - Two SigmaMediumSoftware EngineerDesign and Scale Quantitative Optimization Workflows
Design a scalable, deterministic quantitative optimization and backtesting platform capable of executing 30,000 portfolio optimization runs with strict point-in-time data correctness and full data lineage.
System DesignTechnical ScreenDistributed SystemsQuantitative FinanceBatch Processing - Two SigmaMediumSoftware EngineerExplain move and recent project
This interview question evaluates behavioral evidence, ownership, communication, trade-offs, and measurable outcomes in a realistic interview setting. A strong answer for Explain move and recent project states assumptions, handles edge cases, explains trade-offs, and shows how to validate the result clearly.
Behavioral & LeadershipOnsite - Two SigmaHardSoftware EngineerHow to prepare for a hiring manager round
This question evaluates behavioral and leadership competencies such as past project execution, collaboration, communication, decision-making, and role fit beyond coding and technical screens.
Behavioral & LeadershipOnsite - Two SigmaMediumSoftware EngineerImplement Price-Time Order Matching
Design and implement an in-memory limit order book matching engine supporting buy and sell orders with price-time priority (FIFO) and order cancellation.
Coding & AlgorithmsTechnical Screenheapdesignhash-table - Two SigmaMediumSoftware EngineerImplement a Hash Map with Separate Chaining and Resizing
This question evaluates understanding of hash table fundamentals, including hashing, separate chaining collision resolution, linked-list bucket management, dynamic resizing, and rehashing to maintain load factor and amortized performance.
Coding & AlgorithmsTechnical Screen - Two SigmaHardSoftware EngineerImplement an In-Memory Database
This question evaluates competence in implementing in-memory relational data structures, parsing tokenized database-like commands, and evaluating compound predicates with comparison operators.
Coding & AlgorithmsTechnical Screen - Two SigmaHardSoftware EngineerImplement binary encode/decode with frequency tree
This question evaluates understanding of frequency-based binary encoding and decoding, including deterministic tree construction, tie-breaking rules, and traversal, and tests knowledge of trees, priority queues, greedy algorithms, and bit-level string manipulation in the Coding & Algorithms domain.
Coding & AlgorithmsTechnical Screen - Two SigmaMediumSoftware EngineerMatch Limit Orders with Price-Time Priority
Implement a limit order matching engine adhering to price-time priority (FIFO), resting-order execution pricing, and partial fill mechanics.
Coding & AlgorithmsTechnical ScreenHeapData StructuresSimulation - Two SigmaMediumSoftware EngineerMaximize Capital by Completing at Most k Projects
This question evaluates algorithmic problem-solving and optimization skills within the Coding & Algorithms domain, focusing on selection under resource and operation constraints and reasoning about time and space complexity.
Coding & AlgorithmsTechnical Screen - Two SigmaMediumSoftware EngineerSolve capital selection and grid escape
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 capital selection and grid escape states assumptions, handles edge cases, explains trade-offs, and shows how to validate the result clearly.
Coding & AlgorithmsOnsite - UberMediumSoftware EngineerAligning Two Teams with Conflicting Priorities and Learning from a Mistake
Two senior behavioral prompts: describe bringing two teams with conflicting priorities into alignment to deliver an important project, and a mistake you made, the feedback you received and how you closed the gap. It assesses cross-team influence, conflict resolution and growth.
Behavioral & LeadershipOnsite
Trexquant
Tubi
Turo
Twitch
Two Sigma
Uber