Katkat

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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 2941–2970 of 3640 results

  • RipplingMediumSoftware Engineer
    Implement an In-Memory File System

    Design and implement an in-memory file system supporting directory creation, file appending, reading, and lexicographically sorted path listings.

    Coding & AlgorithmsOnsitetrietreedesign
  • RipplingMediumMachine Learning Engineer
    Implement stack and interval algorithms with tests

    This question evaluates implementation-level competencies with fundamental data structures and algorithms—stack-based bracket validation, interval merging with open/closed endpoint semantics, and arithmetic expression evaluation using stacks—while also measuring the ability to design comprehensive unit tests; category: Coding & Algorithms for a Machine Learning Engineer role. It is commonly asked to gauge practical coding ability, correctness under tricky edge cases and input semantics, and test-coverage awareness, representing a practical application-level assessment that also requires conceptual reasoning about invariants and boundary behavior.

    Coding & AlgorithmsOnsite
  • RipplingHardSoftware Engineer
    Present a Project and Reflect

    This question assesses the candidate's ability to articulate the end-to-end lifecycle of a complex project, focusing on technical decision-making, team collaboration, and the ability to critically analyze one's own performance.

    Behavioral & LeadershipOnsiteBehavioralLeadershipCommunication
  • RipplingMediumSoftware Engineer
    Prevent Duplicate Payments Under High Load

    Design a highly reliable payment processing system that guarantees exactly-once execution and prevents duplicate charges during high-concurrency spikes and downstream failure scenarios.

    System DesignOnsiteDistributed SystemsPaymentsConcurrency
  • RipplingMediumBackend Engineer
    Process a Task List: Deduplicate, Drop Completed, Sort by Priority, and Nest Subtasks

    Senior backend coding question: process a batch of scheduler tasks by removing duplicates on description and due date, dropping completed tasks, sorting by priority, and placing each subtask directly after its parent. It tests clarifying ambiguous policies, orphan and cycle handling, O(n log n) design, and verified use of an AI coding assistant.

    Software Engineering FundamentalsOnsite
  • RipplingMediumBackend Engineer
    Senior Backend Hiring Manager Deep Dive: Idempotency, SLAs, Changed Decisions, and Pushback

    Senior backend hiring manager round covering your proudest project with deep dives on idempotency and SLA definition and monitoring, a technical decision you reversed, a design a colleague challenged, and company-specific motivation. It tests ownership, technical depth, judgment under disagreement, and honest self-reflection.

    Behavioral & LeadershipOnsite
  • RipplingMediumSoftware Engineer
    Staff Engineer Hiring-Manager Round: Platform Ownership, AI Adoption, and Cross-Team Influence

    This question assesses the candidate's ability to drive complex, cross-functional engineering initiatives and their strategic approach to integrating emerging technologies like AI into legacy or established platforms.

    Behavioral & LeadershipOnsiteLeadershipSystem ArchitectureStakeholder Management
  • RipplingMediumSoftware Engineer
    Track article votes and last three flips

    This question evaluates a developer's ability to design in-memory data structures that support constant-time vote updates, score aggregation, and recent flip-event tracking while handling vote-change semantics.

    Coding & AlgorithmsOnsite
  • RipplingMediumSoftware Engineer
    Why do you want to join this company?

    This question evaluates a candidate's ability to articulate past experience and measurable impact, communicate clear motivation, and demonstrate fit for a specific team or company, targeting communication, self-presentation, leadership, and career-alignment competencies for a Software Engineer role.

    Behavioral & LeadershipOnsite
  • RobinhoodMediumFrontend Engineer
    Build a Weekly Calendar

    This question evaluates frontend UI engineering skills, focusing on interactive interface construction, event handling, and state modeling to maintain a single source of truth for events in a weekly calendar grid, and it belongs to the web frontend development and UI/state-management domain.

    Coding & AlgorithmsOnsite
  • RobinhoodMediumSoftware Engineer
    Clarify Friendship Rules and Money-Transfer Semantics Before Choosing an Algorithm

    Clarify friendship and money-transfer requirements, separate graph reachability from accounting, and reason about a conditional implementation and invariants.

    Software Engineering FundamentalsOnsite
  • RobinhoodHardSoftware Engineer
    Count Unique Dependents in a Referral DAG

    Count unique direct and transitive dependents in a DAG, preserving edge direction, ignoring unknown endpoints, and handling shared descendants without double-counting.

    Coding & AlgorithmsOnsite
  • RobinhoodMediumData Scientist
    Create OHLC Aggregates from Tick Data in Python

    This question evaluates a candidate's ability to perform time-series bucketing and OHLC aggregation from tick data, testing skills in data parsing, stateful aggregation, and handling missing-interval forward-filling; it falls under Data Manipulation (SQL/Python) and assesses practical application rather than purely conceptual understanding.

    Data Manipulation (SQL/Python)Onsite
  • RobinhoodMediumSoftware Engineer
    Defend the Complexity and Scalability of a Project

    Prepare a project deep dive that withstands repeated questions about technical difficulty and scalability. Define your ownership, defend a genuine trade-off with evidence, identify current bottlenecks, and propose incremental scaling only when measurable signals justify it.

    Behavioral & LeadershipOnsite
  • RobinhoodMediumSoftware Engineer
    Define and Calculate Employee Referral Counts

    Implement an algorithm to compute direct and total downstream referral counts for every employee in a directed graph that may contain duplicates, converging paths, and cycles.

    Software Engineering FundamentalsOnsiteGraphBFSDFS
  • RobinhoodMediumSoftware Engineer
    Design Payment Processing with Idempotency and Reconciliation

    Design a resilient payment processing system that interfaces with third-party payment gateways, guarantees exactly-once execution via idempotency, manages complex payment state machines, and resolves discrepancies via reconciliation.

    System DesignOnsitePaymentsIdempotencyDistributed Systems
  • RobinhoodMediumData Scientist
    Design Real-Time Analytics Pipeline with Kafka and Flink

    This interview question evaluates behavioral evidence, ownership, communication, trade-offs, and measurable outcomes in a realistic interview setting. A strong answer for Design Real-Time Analytics Pipeline with Kafka and Flink states assumptions, handles edge cases, explains trade-offs, and shows how to validate the result clearly.

    Behavioral & LeadershipOnsite
  • RobinhoodMediumSoftware Engineer
    Design a Cron Job Scheduler for 100K Jobs With At-Least-Once Execution

    A system design question about a cron job scheduler that stores about 100,000 recurring job definitions, runs up to 10,000 jobs at once and guarantees at-least-once execution. It tests data modeling, including whether a schedule belongs on the job, finding and dispatching due jobs at scale, and failure handling with leases and retries.

    System DesignOnsite
  • RobinhoodHardSoftware Engineer
    Design a Distributed Scheduler with At-Most-Once Runs

    Design a distributed scheduler around strict at-most-once run starts, durable identities, ambiguous crashes, SLA failures, queue recovery, logs, and notification outboxes.

    System DesignOnsite
  • RobinhoodMediumSoftware Engineer
    Design a Fault-Tolerant Distributed Job Scheduler

    This question tests the ability to design a distributed, fault-tolerant system capable of scheduling and executing tasks reliably at scale, emphasizing durability, state management, and consistency.

    System DesignOnsiteDistributed SystemsReliabilityTask Queues
  • RobinhoodMediumFrontend Engineer
    Design a Photo Album App

    This question evaluates proficiency in frontend system design, specifically client-side component and data architecture, state management and normalization, real-time synchronization, and large-media upload flows; it sits in the System Design domain with a Frontend Engineer focus and tests practical application of these competencies.

    System DesignOnsite
  • RobinhoodMediumSoftware Engineer
    Design a Photo Management Service

    This question evaluates a candidate's ability to design scalable, reliable photo management systems, focusing on API design, storage architecture, metadata modeling, album management, and operational concerns for large numbers of users and photos.

    System DesignOnsite
  • RobinhoodMediumSoftware Engineer
    Design a Task Scheduler and Executor

    Design a high-scale task scheduler for one-time, cron-like, fixed-rate, and fixed-delay execution. Cover versioned task and attempt states, due-time indexing, safe concurrent claims, retries, leases, backpressure, idempotency, recurrence semantics, and recovery.

    System DesignOnsite
  • RobinhoodMediumSoftware Engineer
    Design a constrained cache and secure string validator

    This question tests the ability to implement a thread-safe, size-constrained cache (LRU-like) and robust string validation logic for identifying malformed or potentially malicious input strings.

    Coding & AlgorithmsOnsiteConcurrencyLRUHashing
  • RobinhoodMediumSoftware Engineer
    Design a distributed job scheduler

    This question tests the ability to design a fault-tolerant, scalable distributed system capable of scheduling one-time and recurring background tasks with guaranteed execution semantics.

    System DesignOnsiteDistributed SystemsScalabilityDatabase Design
  • RobinhoodMediumSoftware Engineer
    Design a live and historical stock quote API fed by a redundant exchange trade feed

    A system design question that asks for a stock quote API serving live prices at about 10 million requests per second and one-day, one-month and one-year history at about 1 million, fed by two redundant exchange trade connections. It tests sequence-number arbitration, gap replay, fan-out of live state, bar aggregation and caching at scale.

    System DesignOnsite
  • RobinhoodMediumSoftware Engineer
    Design a referral leaderboard with chain-based counts

    This question evaluates a candidate's ability to model and compute transitive referral counts using graph-like structures and efficient data structures, testing skills in algorithm design, counting, and sorting within the Coding & Algorithms domain.

    Coding & AlgorithmsOnsite
  • RobinhoodMediumSoftware Engineer
    Design an At-Most-Once Job Scheduler

    This question tests the ability to design a distributed, fault-tolerant job scheduler that guarantees tasks are executed no more than once, focusing on state management and concurrency control.

    System DesignOnsiteDistributed SystemsConcurrencyFault Tolerance
  • RobinhoodMediumSoftware Engineer
    Design an Order Execution System for Market and Limit Orders with Cancellation

    A system design question about building the order execution system for a retail brokerage, where users place market and limit orders and can cancel them. It tests order execution flow, order state transitions with partial fills and cancels, failure handling, tracking user balances, and scaling the design to millions of orders.

    System DesignOnsite
  • RobinhoodEasyData Scientist
    Design an experiment to launch fractional shares

    This question evaluates a candidate's competency in experimentation design, product analytics, statistical power and sample-size calculation, causal inference, and risk identification within a brokerage product context.

    Analytics & ExperimentationOnsite