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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 3721–3750 of 5874 results
- NetflixMediumSoftware EngineerAnalyze Overlap in Closed Intervals
Implement an algorithm to determine how many closed intervals contain each point in a given list of query coordinates. The problem evaluates interval sweep-line techniques or binary search decomposition, boundary handling, and time/space complexity.
Coding & AlgorithmsTechnical Screenbinary-searchintervalssweep-line - NetflixMediumSoftware EngineerAnswer Netflix Culture Screen Questions
This question evaluates a candidate's cultural fit, communication clarity, leadership, ownership, and ability to summarize measurable impact for a senior software engineer role on a high-scale advertising product at a large streaming platform.
Behavioral & LeadershipHR Screen - 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 - NetflixMediumSoftware EngineerBuild and optimize a video playlist component
Build and optimize a video playlist component 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 DesignTechnical Screen - 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 - NetflixEasySoftware EngineerCompute Minimum Broadcast Latencies Between Cities
Implement Dijkstra's algorithm to compute the minimum broadcast latency from a source city to all other cities in an undirected, weighted network.
Coding & AlgorithmsTechnical Screengraphdijkstrashortest-path - NetflixMediumSoftware EngineerCompute Minimum Task Completion Time
This problem tests your ability to model task dependencies as a Directed Acyclic Graph (DAG) and compute the longest path in that graph to determine the earliest completion time.
Coding & AlgorithmsTechnical ScreenGraphTopological SortDynamic Programming - 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 EngineerCount Pairs of Strings with Disjoint Character Sets
Tests bitmask representation of character sets, frequency-based pair counting, and handling edge cases like empty strings.
Coding & AlgorithmsTechnical ScreenBit ManipulationHash TableString - NetflixHardSoftware EngineerDemonstrate domain expertise and ramp-up ability
This question evaluates domain expertise and ramp-up ability by examining prior experience, learning strategies for unfamiliar domains, cross-functional collaboration, and measurable impact within a software engineering context.
Behavioral & LeadershipTechnical Screen - 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 - NetflixMediumSoftware EngineerDesign Netflix viewport deduplication
This interview question evaluates requirements, scale assumptions, API/data design, architecture, trade-offs, failure modes, and rollout in a realistic interview setting. A strong answer for Design Netflix viewport deduplication states assumptions, handles edge cases, explains trade-offs, and shows how to validate the result clearly.
System DesignTechnical Screen - NetflixMediumSoftware EngineerDesign Prefix-Aware Deduplication for Homepage Content Rows
Implement prefix-aware content row deduplication where protected row prefixes cannot share items across rows, while suffixes and exempt rows only enforce row-internal uniqueness.
Software Engineering FundamentalsTechnical ScreenArraysHash TableData Manipulation - 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 - NetflixHardSoftware EngineerDesign a File Backup System
This question evaluates understanding of scalable system design, file synchronization and metadata handling, data consistency, fault tolerance, and performance trade-offs involved in designing a file backup system.
System DesignTechnical Screen - NetflixMediumSoftware EngineerDesign a Job Scheduler for ML Training and Batch Inference on a Shared Cluster
Design a job scheduler for machine learning workloads such as training runs and batch inference on a shared compute cluster with GPUs. It tests requirements gathering, queueing and fairness between teams, gang placement for distributed jobs, preemption and checkpointing, and recovery from node and scheduler failures.
System DesignTechnical Screen - 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 a Streaming Subscription System: Billing, Plan Changes and Payment Retries
Design the subscription backend of a video streaming service such as Netflix, covering the subscription lifecycle, recurring billing through an external payment provider, mid-cycle upgrades and downgrades, retries of failed charges, and scaling. It tests data modeling, safe payment handling, concurrency between member actions and billing jobs, and keeping entitlement checks fast.
System DesignOther - NetflixHardSoftware EngineerDesign a concurrent latency percentile tracker
This problem tests your ability to design a high-throughput, thread-safe data structure capable of tracking request latencies and calculating arbitrary percentiles (e.g., p99) within a sliding time window.
Software Engineering FundamentalsTechnical ScreenConcurrencyData StructuresMetrics - NetflixEasySoftware EngineerDesign a crash-resilient file system
This question evaluates understanding of durable storage and crash recovery mechanisms in file system design, including metadata consistency, durability guarantees, and operational concerns like performance and space overhead.
System DesignTechnical Screen - NetflixMediumSoftware EngineerDesign a thread-safe key-value store
This question evaluates knowledge of concurrent programming and thread-safety, including the choice of in-memory data structures for a key–value store and synchronization techniques that ensure atomic put/get/delete operations without internal corruption.
Software Engineering FundamentalsTechnical Screen - 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 - NetflixHardSoftware EngineerDesign an ads audience targeting system
This problem evaluates your ability to design a high-scale, low-latency system for filtering user profiles against complex, dynamic advertising audience segments.
System DesignTechnical ScreenScalabilityDistributed SystemsCaching - 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 EngineerDesign command executor with undo
This problem tests the application of the Command design pattern and stack-based data structures to manage reversible operations in an application state.
Coding & AlgorithmsTechnical ScreenDesign PatternsStacksCommand Pattern
Netflix