Atlassian interview questions

Showing 1–30 of 55 results

• Assign bookings to minimum tennis courtsMedium

  This problem tests your ability to manage overlapping time intervals using a greedy approach, specifically requiring the calculation of the maximum number of concurrent bookings to determine the minimum resource count.

  AtlassianMachine Learning EngineerCoding & AlgorithmsOnsite
• Assign tennis bookings to minimum courtsMedium

  Design an algorithm to assign a schedule of tennis court bookings to the minimum number of courts required, resolving resource contention efficiently.

  AtlassianSoftware EngineerCoding & AlgorithmsOnsite
• Build a 2x3 React Feed Grid from Static Data, Then from an API, and Explain Your HooksHard

  A front-end coding exercise: show feed items with an id, text and creation time in a two-row, three-column React grid, first from static data and then from a provided API. It tests CSS grid layout, data fetching with loading and error states, effect cleanup, and how clearly the candidate explains the React hooks they use.

  AtlassianFrontend EngineerSoftware Engineering FundamentalsTechnical Screen
• Build a Social Feed List in HTML/CSS, Then Render It from a Mock APIMedium

  A two-stage front-end coding exercise: build a Twitter-style social feed list with HTML and CSS, then render it from a mock API. It tests semantic markup, a resilient card layout, asynchronous loading with loading and error states, and safe rendering of user-generated text.

  AtlassianFrontend EngineerSoftware Engineering FundamentalsTechnical Screen
• Compute a moving average on a streamHard

  This problem tests your ability to maintain a running average over a sliding window of size K in a high-throughput streaming environment while managing numerical precision and memory efficiency.

  AtlassianMachine Learning EngineerCoding & AlgorithmsOnsite
• Compute inverse-depth weighted sum of a nested listMedium

  This problem tests your ability to traverse nested list structures using recursion or iterative stacks and compute a value based on the nesting depth of individual elements.

  AtlassianMachine Learning EngineerCoding & AlgorithmsOnsite
• Compute moving average over last N streamMedium

  This question evaluates understanding of streaming algorithms and sliding-window aggregation within the Coding & Algorithms domain, focusing on incremental computation, state management, and numerical stability when computing moving averages.

  AtlassianMachine Learning EngineerCoding & AlgorithmsOnsite
• Compute top-N posts in a workspaceMedium

  This question evaluates skills in designing scalable, low-latency analytics and aggregation systems, covering event tracking, time-windowed ranking, stream processing, storage trade-offs (OLTP vs OLAP), caching, API design, and handling late or duplicate events.

  AtlassianSoftware EngineerSystem DesignOnsite
• Demonstrate motivation, feedback, and prioritizationMedium

  This question evaluates motivation, constructive feedback, competing-priority prioritization, customer-focused problem solving, and team leadership competencies within a Data Scientist role.

  AtlassianData ScientistBehavioral & LeadershipTechnical Screen
• Design Jira bug-to-team classification systemMedium

  This question tests the ability to design an end-to-end ML pipeline for classifying incoming Jira tickets to appropriate engineering teams based on textual and historical metadata.

  AtlassianMachine Learning EngineerML System DesignOnsite
• Design Monitoring and Reliability for 99.99% AvailabilityMedium

  Design a comprehensive observability and reliability framework to guarantee 99.99% availability for a multi-tenant cloud collaboration platform. The design must cover Service Level Indicators (SLIs), Service Level Objectives (SLOs), automated burn-rate alerting, dependency fault isolation, and chaos recovery testing.

  AtlassianSoftware EngineerSystem DesignOnsite
• Design O(1) cache and moving averageMedium

  This problem tests your ability to maintain constant-time complexity for both cache management and sliding-window statistics by using a combination of a doubly-linked list and hash maps.

  AtlassianMachine Learning EngineerCoding & AlgorithmsOnsite
• Design Scalable Product BackendsMedium

  This problem tests your ability to design a high-throughput, distributed task management system, focusing on data modeling, concurrency control, and scalability for collaborative features.

  AtlassianSoftware EngineerSystem DesignOnsite
• Design a CI/CD release notification serviceMedium

  This problem evaluates your ability to design a flexible, object-oriented notification service that handles varying event triggers and subscriber preferences in a release pipeline.

  AtlassianSoftware EngineerSoftware Engineering FundamentalsOnsite
• Design a Data Stream ProcessorEasy

  This question tests your ability to design a scalable, reliable stream processing pipeline capable of ingesting, filtering, and persisting real-time events while managing system state.

  AtlassianSoftware EngineerSystem DesignTechnical Screen
• Design a Fast Product Search Page: Search Input over an Unbounded Catalog GridHard

  A front-end system design question about a product search page with a search input above a grid of results drawn from a catalog of unbounded size. It probes the component tree, where search state should live, and how the candidate keeps typing responsive and results fast when the result set can never be loaded all at once.

  AtlassianFrontend EngineerSystem DesignTechnical Screen
• Design a Jira+Confluence RAG assistantMedium

  This question evaluates competencies in designing retrieval-augmented generation systems, including ingestion and indexing, retrieval and ranking strategies, prompt-based generation and citation handling, permission-aware access control, and monitoring for freshness and latency.

  AtlassianMachine Learning EngineerML System DesignOnsite
• Design a Music Player with Queue, Loop, and ShuffleMedium

  Design music-player objects and state transitions for play, pause, queue, looping, and shuffle, with stubbed audio and deterministic tests.

  AtlassianSoftware EngineerSoftware Engineering FundamentalsTechnical Screen
• Design a Rate Limiter Service: Components, Scaling and Precision Trade-offsEasy

  A three-part system design question about a rate limiter service: the components a simple limiter needs, how to scale it as users grow and what breaks, and how to make limits more precise. It tests shared counters, atomic updates, hot callers, failure policy and the accuracy trade-offs between rate limiting algorithms.

  AtlassianSoftware EngineerSystem DesignTechnical Screen
• Design a Social-Media Comments and Notifications SystemMedium

  Design social comments with APIs, indexed pagination, durable notifications, retry deduplication, and measured read/write scaling for hot posts.

  AtlassianSoftware EngineerSystem DesignOnsite
• Design a distributed rate limiter serviceMedium

  This question tests the ability to design a scalable, low-latency distributed rate-limiting service that handles high-concurrency requests across multiple microservices.

  AtlassianSoftware EngineerSystem DesignTechnical Screen
• Design a scalable chatbot platformMedium

  This problem tests your ability to architect a scalable, stateful chatbot system that integrates RAG (Retrieval-Augmented Generation) with low-latency conversational requirements.

  AtlassianMachine Learning EngineerSystem DesignOnsite
• Design a scalable tagging systemHard

  This question tests a candidate's ability to design scalable data models and distributed indexing strategies for a multi-tenant tagging system. It evaluates system design competency across storage, caching, sharding, and consistency trade-offs — core skills assessed in senior software engineering interviews.

  AtlassianSoftware EngineerSystem DesignTechnical Screen
• Design a simple greeting-card web appMedium

  This question assesses the ability to design a scalable, functional MVP for a greeting-card service, focusing on user-generated content storage and retrieval.

  AtlassianSoftware EngineerSystem DesignTechnical Screen
• Design a tagging system and REST APIsMedium

  This question evaluates a candidate's ability in RESTful API design, data modeling, concurrency control, idempotency, pagination, and indexing/search strategies for a multi-tenant tagging system. It is commonly asked in the system design category to assess architectural decision-making and both conceptual understanding and practical application of endpoints, schema, and edge-case handling.

  AtlassianSoftware EngineerSystem DesignOnsite
• Design a trie-based URL router with wildcardsMedium

  Design a trie-based URL router with wildcards 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.

  AtlassianSoftware EngineerCoding & AlgorithmsTechnical Screen
• Design an ML-powered search systemHard

  This question tests the ability to design a scalable, low-latency, and relevant search system for internal enterprise documents, focusing on the integration of hybrid search (keyword + semantic) and ranking strategies.

  AtlassianMachine Learning EngineerML System DesignOnsite
• Design an access control system (RBAC + resource-based)Medium

  This question evaluates a candidate's ability to design a scalable authorization system incorporating RBAC and resource-based ACLs, testing competencies in access-control models, data schema design, policy evaluation, API design, caching strategies, and audit logging.

  AtlassianSoftware EngineerSystem DesignOnsite
• Design an image crawler for unlimited URLsMedium

  This question evaluates a candidate's ability to design scalable, fault-tolerant distributed systems for web crawling, covering competencies in concurrency, queueing and scheduling, deduplication, storage architecture, and observability.

  AtlassianSoftware EngineerSystem DesignOnsite
• Design an internal data-access chatbotMedium

  This question evaluates a candidate's ability to design production-ready ML systems that integrate retrieval-augmented generation, secure access control, tool-based workflows, data privacy, auditability, and low-latency interaction.

  AtlassianMachine Learning EngineerML System DesignOnsite