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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 1561–1590 of 2336 results
- NetappMediumSoftware EngineerRank Teams from Ballot Preferences
This problem tests your ability to manage multi-level sorting criteria by implementing custom comparison logic for an array of preference rankings.
Coding & AlgorithmsOnsiteSortingHash MapGreedy - NetappMediumSoftware EngineerResolve a Conflict Within an Engineering Team
This question assesses the candidate's ability to navigate technical or process-related disagreements within a team, focusing on conflict resolution strategies, interpersonal communication, and long-term project outcomes.
Behavioral & LeadershipOnsiteConflict ResolutionSoft SkillsTeamwork - NetflixHardSoftware EngineerBuild a Recommendation System and Conversational Interface from Scratch
Design an initial recommendation system, then extend it with a chatbot that can retrieve and explain recommendations while respecting the same eligibility and ranking rules. Connect data and model choices to serving architecture, latency and throughput, evaluation, monitoring, failure modes, and iteration.
ML System DesignOnsite - NetflixHardSoftware EngineerCompute Earliest Completion Times
This question evaluates understanding of directed acyclic graphs, dependency resolution, computation of earliest task completion times, and cycle detection within prerequisite relationships.
Coding & AlgorithmsOnsite - NetflixHardSoftware EngineerCompute subtree sums with tree DFS
This question evaluates proficiency in tree traversal and aggregation techniques, specifically computing subtree sums using depth-first search while handling traversal state and constraints such as negative values and large n.
Coding & AlgorithmsOnsite - NetflixMediumSoftware EngineerDesign Ad Frequency and Order Tracking
This question tests the ability to design a high-throughput, low-latency distributed counter service for frequency capping and an accurate tracking system for ad order delivery.
System DesignOnsiteScalabilityDistributed SystemsCaching - NetflixHardSoftware EngineerDesign Publisher Configuration Rules
This question evaluates system design skills focused on configuration management and rule-based policy modeling for supply-side advertising platforms, covering inventory modeling, rule inheritance and overrides, conflict resolution, real-time evaluation, and operational controls like validation, versioning, rollout, and auditing.
System DesignOnsite - NetflixMediumSoftware EngineerDesign Rolling-Window Ad Frequency Capping
This question evaluates system-design skills for building scalable, low-latency services that enforce time-based rolling-window state, including data modeling for impression history, read/write paths, concurrency control, and fault tolerance; category: System Design.
System DesignOnsite - NetflixMediumSoftware EngineerDesign a Distributed Frequency-Capping Service
Tests the ability to design an ultra-low latency, highly available counting and rate-limiting system for ad frequency capping across distributed environments, balancing consistency with latency trade-offs.
System DesignOnsiteDistributed SystemsCachingAdTech - NetflixMediumSoftware EngineerDesign a Scheduler for ML Training and Batch Inference Jobs
This question tests the ability to design a distributed job scheduler capable of handling heterogeneous ML workloads with varying priority, resource requirements, and fault-tolerance constraints.
System DesignOnsiteDistributed SystemsSchedulingResource Management - NetflixMediumSoftware EngineerDesign ad frequency capping
This question evaluates a candidate's competence in large-scale system design, including distributed systems, real-time analytics, data modeling, and consistency and scalability trade-offs for ad frequency capping.
System DesignOnsite - NetflixHardSoftware EngineerDesign ads frequency capping service
This question evaluates a candidate's ability to design a low-latency, high-QPS, multi-tenant frequency capping service, testing competencies in identity resolution, hierarchical cap modeling, window semantics, counter and storage architecture, consistency versus latency trade-offs, real-time decisioning APIs, configuration/versioning, backfill, reporting, privacy/compliance, and failure handling. It is commonly asked to assess systems-design proficiency in distributed systems, databases, caching, API design, and operational reliability; it belongs to the System Design domain and emphasizes practical application with system-level conceptual reasoning rather than purely algorithmic detail.
System DesignOnsite - NetflixHardSoftware EngineerDesign an Ad Pacing System
This question evaluates a candidate's skill in designing large-scale, low-latency distributed advertising systems, including pacing algorithms, budgeting and spend tracking, concurrency control, event processing, and observability.
System DesignOnsite - NetflixHardSoftware EngineerDesign an ad frequency capping system
This question evaluates competency in distributed systems architecture, real-time stateful services, high-cardinality time-series data modeling, API design for low-latency decision paths, and operational monitoring including consistency and latency trade-offs.
System DesignOnsite - NetflixMediumSoftware EngineerDesign an ads data model
This problem tests your ability to design a scalable, reliable data schema for an advertising platform that must support high-throughput event ingestion and real-time analytical queries.
System DesignOnsiteData ModelingScalabilityOLTP vs OLAP - NetflixHardSoftware EngineerHow do you give and receive feedback?
This question evaluates a software engineer's interpersonal competencies, specifically the ability to give and receive constructive feedback, demonstrate emotional intelligence, take ownership, and collaborate across cross-functional teams.
Behavioral & LeadershipOnsite - NetflixMediumSoftware EngineerImplement Cache, Undo, and DFS
This problem tests your ability to combine a Least Recently Used (LRU) cache with a command-based undo system, applied to a hierarchical tree structure traversal.
Coding & AlgorithmsOnsiteLRU CacheDFSUndo Pattern - NetflixMediumSoftware EngineerImplement Caches, Undo, and Traversal
This question evaluates proficiency with data structures, API design, and system-level concerns by combining timed in-memory caching, command undo/redo semantics, and depth-first traversal of a tree; it falls under the Coding & Algorithms domain and is commonly asked to assess practical implementation skills, correctness under edge cases, and the ability to reason about time and space complexity. The level of abstraction spans practical application—designing clean APIs and implementing core logic—while also requiring conceptual understanding of complexity analysis and background cleanup or state-management patterns.
Coding & AlgorithmsOnsite - NetflixMediumSoftware EngineerImplement TTL Cache and Tree Balance Reporting
This question evaluates proficiency in designing efficient in-memory data structures and tree algorithms, specifically time-to-live cache behavior (expiration semantics and accurate unexpired counts) and per-node subtree-height computations for balance reporting, and it falls under the Coding & Algorithms domain.
Coding & AlgorithmsOnsite - NetflixHardSoftware EngineerImplement a Versioned Key-Value Store
This question evaluates understanding of time-versioned data storage, related data-structure selection, handling of overwrite semantics at equal timestamps, and the ability to reason about correctness and complexity trade-offs.
Coding & AlgorithmsOnsite - NetflixMediumSoftware EngineerImplement ordering and undo executor
This question evaluates graph algorithm skills (topological ordering and cycle detection) and software design competencies related to command interfaces, undo semantics, and shared-state management.
Coding & AlgorithmsOnsite - NetflixMediumSoftware EngineerModel Direct-Sold DSP Orders
This Software Engineering Fundamentals question evaluates data and domain modeling skills for ad-technology order management, focusing on entities such as advertisers, agencies, orders, line items, targeting, creatives, delivery constraints, tracking events, reporting needs, and configuration versioning.
Software Engineering FundamentalsOnsite - NetflixMediumSoftware EngineerModel ads demand data for reporting
This question tests the ability to design a robust data pipeline and schema for tracking ad performance metrics, focusing on handling event-level data, aggregations, and dimension consistency.
System DesignOnsiteData EngineeringData ModelingETL - NetflixMediumSoftware EngineerModel data for an ads platform
This question evaluates proficiency in data modeling and database schema design for advertising systems, including entity-relationship modeling, privacy-aware user identifier handling, and delivery/tracking log representation.
System DesignOnsite - NetflixMediumSoftware EngineerReason About a Movie Billboard Rotation Component
This problem tests the ability to manage dynamic scheduling and priority updates using balanced binary search trees (ordered maps) while handling concurrency and system scalability.
Software Engineering FundamentalsOnsiteData StructuresConcurrencySystem Design - NetflixMediumSoftware EngineerReport Tree Levels and Balanced Subtrees
Tests traversing a binary tree stored in array (heap) layout to compute subtree heights and identify nodes rooted at height-balanced subtrees along with their tree levels.
Coding & AlgorithmsOnsitebinary-treeheapdepth-first-search - NetflixMediumSoftware EngineerReturn valid task order from prerequisites
This question evaluates proficiency in graph algorithms, notably topological sorting and cycle detection, as well as algorithmic complexity analysis and handling of dependency constraints.
Coding & AlgorithmsOnsite - NetflixMediumSoftware EngineerShow role fit using past ad experience
This question evaluates a candidate's ability to demonstrate role fit by mapping past ads engineering projects to job requirements and communicating measurable impact, assessing competencies such as ownership, cross-functional collaboration, incident debugging, and prioritization.
Behavioral & LeadershipOnsite - NooksMediumSoftware EngineerHow would you throttle a crawler?
This question evaluates competency in scalable distributed system design, including rate limiting, request scheduling, concurrency control, fault tolerance, backoff/retry strategies, deduplication, and observability for networked crawlers.
System DesignOnsite - NooksMediumSoftware EngineerImplement a BFS web crawler
This question evaluates proficiency in breadth-first search and graph traversal concepts applied to web crawling, including handling duplicate links, hostname filtering, and tracking visited URLs.
Coding & AlgorithmsOnsite
Netflix