Google interview questions

Showing 121–150 of 486 results

• Design A/B testing platformHard

  This question evaluates a candidate's competency in designing scalable, privacy-compliant A/B testing platforms, covering deterministic bucketing, traffic allocation, telemetry and event pipelines, experiment governance, and applied statistical methods in the Analytics & Experimentation domain.

  GoogleSoftware EngineerAnalytics & ExperimentationTechnical Screen
• Design Calendar Event Conflict HandlingMedium

  This question evaluates a candidate's competence in designing scalable calendar event and conflict-handling systems, focusing on data modeling, time semantics (time zones and recurrence), concurrency control, and distributed-system trade-offs, and falls under the System Design domain.

  GoogleSoftware EngineerSystem DesignOnsite
• Design Extensible Spreadsheet Aggregation APIsMedium

  Design reusable spreadsheet sum, minimum, and maximum APIs with operator state, shared cell evaluation, error policies, and extensible aggregation.

  GoogleSoftware EngineerSoftware Engineering FundamentalsOther
• Design Interval Membership Queries with Linear, Logarithmic, and Constant-Time OptionsMedium

  Design interval membership with linear scans, predecessor binary search, or bounded-universe direct addressing, comparing insertion, memory, adjacency, inclusive boundaries, overflow safety, and workload fit.

  GoogleSoftware EngineerSoftware Engineering FundamentalsTechnical Screen
• Design LLM Summarization of E-commerce Reviews with Prompt-Injection and PII DefensesMedium

  A system design question about an e-commerce platform that ingests customer reviews and uses an LLM to summarize them for an internal dashboard. It probes the ingestion and summarization pipeline, trust and safety filtering, data sanitization and PII redaction, and defenses against prompt injection hidden in review text.

  GoogleSoftware EngineerSystem DesignOnsite
• Design ML system for self-driving perceptionMedium

  This question assesses the ability to architect a real-time perception system for autonomous vehicles, focusing on sensor integration, model optimization for edge deployment, and safety-critical failure handling.

  GoogleMachine Learning EngineerML System DesignTechnical Screen
• Design Scalable Database and Analyze E-commerce DataMedium

  This question evaluates relational database design and data-manipulation competencies, including schema modeling and normalization, SQL-based association analysis for co-purchases, and vectorized data transformation using Python/Pandas.

  GoogleData ScientistData Manipulation (SQL/Python)Technical Screen
• Design Tic-Tac-Toe With K PlayersMedium

  This question evaluates a candidate's ability to design and implement a game engine, manage board state and turn logic, validate moves, and apply efficient data structures and algorithms for win detection within the Coding & Algorithms domain.

  GoogleSoftware EngineerCoding & AlgorithmsTechnical Screen
• Design a Billing-Token Rate Limiter for AI AgentsMedium

  Design a distributed rate limiter and quota enforcement service tailored for AI agent workloads where consumption is measured in variable billing tokens rather than fixed request counts.

  GoogleSoftware EngineerSystem DesignOnsite
• Design a Bookshelf with Book CRUD and a Stable BookmarkMedium

  Tests object-oriented design, separation of entity identity from physical layout, reference integrity during deletions, and optimistic concurrency for content updates.

  GoogleSoftware EngineerSoftware Engineering FundamentalsOnsite
• Design a CI system that runs one million tests in ten minutesMedium

  Design a continuous integration system that builds a change and runs about one million tests within a ten-minute budget. Tests capacity estimation, sharding and scheduling by test duration, artifact distribution, caching and test selection, flaky tests, failure handling, and cost versus latency trade-offs.

  GoogleSoftware EngineerSystem DesignOnsite
• Design a Collaborative Notes ServiceHard

  Design a collaborative notes backend with CRUD, WebSocket editing, operation logs, snapshots, CRDT or Operational Transformation conflict handling, offline sync, note-based scaling, permissions, and recovery.

  GoogleSoftware EngineerSystem DesignOnsite
• Design a Dormitory Room-Assignment System (OOD)Medium

  This question evaluates object-oriented design skills by requiring a class decomposition of a room-assignment system, testing entity modeling, responsibility separation, and capacity-safe data structures. It is commonly used in software engineering interviews to assess practical OOD fluency and the ability to handle edge cases like demand exceeding supply.

  GoogleSoftware EngineerSoftware Engineering FundamentalsOnsite
• Design a Music Recommendation System with an LLM AgentMedium

  Design a large-scale music recommendation system combining traditional multi-stage ranking with an LLM agent for natural language intent parsing and contextual explanations.

  GoogleSoftware EngineerML System DesignTechnical Screen
• Design a Product or Video Recommendation SystemMedium

  This question evaluates competency in designing large-scale recommendation systems, encompassing machine learning modeling, candidate generation and ranking, data engineering, online serving, feedback-driven learning, evaluation, and experimentation.

  GoogleMachine Learning EngineerML System DesignTechnical Screen
• Design a Security Monitoring FrameworkMedium

  Design a scalable, low-overhead security monitoring framework capable of capturing OS-level events via eBPF across a massive cloud fleet, streaming telemetry, and detecting malicious activity in near-real-time.

  GoogleSoftware EngineerSystem DesignTechnical Screen
• Design a Spam Review Workflow with Classifiers, AI Agents, and Human LabelersHard

  Design a spam review workflow combining classifiers, AI agents, and human labelers with accuracy, throughput, and label-quality evaluation.

  GoogleData AnalystML System DesignOnsite
• Design a System to Distribute Large ML Model Files Across a Serving FleetMedium

  System design interview question from a senior software engineer loop at Google: design a system that distributes very large ML model files to a fleet of serving machines. It examines bandwidth reasoning, fan-out strategies, integrity verification, staged rollout and rollback, and recovery from failed or partial transfers.

  GoogleSoftware EngineerSystem DesignOther
• Design a Task Scheduler for Opaque Long-Running GPU Jobs ("Design Sora")Hard

  This question tests your ability to design a distributed job scheduler and execution engine for long-running, compute-intensive GPU workloads. It evaluates distributed system fundamentals including multi-tenant fairness, gang scheduling, node failure recovery, and resource utilization.

  GoogleSoftware EngineerSystem DesignTechnical Screen
• Design a Variable Store With Nested Reference Substitution and Cycle DetectionEasy

  Design a class that stores named variables and substitutes their values into text, where a stored value can reference other variables that must be expanded at any depth. It tests reference parsing, depth-first expansion with reuse of finished results, cycle detection with a clear error, and policies for undefined variables.

  GoogleSoftware EngineerSoftware Engineering FundamentalsOnsite
• Design a customer support agent dispatcher that handles mid-request breaksMedium

  Design and implement the core of a dispatcher that assigns waiting customers to available support agents, then extend it for an agent who is interrupted mid-request to take a break. Tests state modeling, queue and data structure choices, fair re-queuing, stale events and per-event complexity.

  GoogleSoftware EngineerSoftware Engineering FundamentalsOnsite
• Design a distributed rate limiterHard

  This question evaluates skills in distributed systems design, concurrency control, rate-limiting algorithms (token bucket and sliding window), distributed coordination and consistency, API design, and operational monitoring for scalability and fault tolerance.

  GoogleSoftware EngineerSystem DesignOnsite
• Design a global real-time notification systemMedium

  This question assesses the ability to design a distributed, global-scale notification platform that handles massive throughput, multi-channel delivery, and reliability requirements.

  GoogleSoftware EngineerSystem DesignOnsite
• Design a key-value storeHard

  This question tests the ability to design a distributed, scalable, and fault-tolerant key-value store while addressing challenges related to data distribution, consistency, and storage engine implementation.

  GoogleSoftware EngineerSystem DesignTechnical Screen
• Design a large-scale distributed rate limiterMedium

  This question tests the ability to design a high-throughput, distributed rate-limiting service that handles multi-tenancy, ensures low latency, and manages consistency trade-offs.

  GoogleSoftware EngineerSystem DesignOnsite
• Design a logger that returns top-K messagesMedium

  Design an in-memory message logger that records timestamped messages and queries the top-K most frequent messages within any given time range.

  GoogleSoftware EngineerCoding & AlgorithmsTechnical Screen
• Design a multi-timer using single underlying timerMedium

  This question evaluates a candidate's ability to implement timer scheduling, resource multiplexing, and concurrency control using constrained system primitives, testing understanding of timers, event handling, data structures, and correctness under race conditions.

  GoogleSoftware EngineerSoftware Engineering FundamentalsOnline Assessment
• Design a prioritized log manager with evictionHard

  Design a prioritized log manager with eviction 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.

  GoogleSoftware EngineerSystem DesignTechnical Screen
• Design a product for meaningful connectionsMedium

  Prepare for the Design a product for meaningful connections interview question with a structured prompt, clarifying questions, answer rubric, follow-up probes, and a stronger model solution. This product design & strategy guide helps candidates frame assumptions, trade-offs, metrics, and role-relevant evidence without relying on generic answers.

  GoogleProduct ManagerProduct Design & StrategyTechnical Screen
• Design a reaction-factor prediction systemHard

  This question evaluates competency in designing end-to-end machine learning systems for molecular pair regression tasks, including data quality and normalization, molecular representation and feature engineering, model selection, evaluation metrics, uncertainty estimation, and production considerations.

  GoogleMachine Learning EngineerML System DesignTechnical Screen