Atlassian interview questions

Showing 31–55 of 55 results

• Determine whether a word exists in a letter gridMedium

  Implement a backtracking search to determine if a target word can be formed by sequentially adjacent cells in a 2D character grid without reusing any cell.

  AtlassianSoftware EngineerCoding & AlgorithmsTechnical Screen
• Diagnose Checkout Rate Drop: Steps and AnalysesMedium

  Diagnose Checkout Rate Drop: Steps and Analyses evaluates metric design, causal reasoning, experiment setup, diagnostics, SQL/statistical checks, and recommendations in a realistic interview setting. A strong answer states assumptions, handles edge cases, explains trade-offs, and shows how to validate the result clearly.

  AtlassianData ScientistAnalytics & ExperimentationOnsite
• Diagnose why a scaled system became slowMedium

  Tests systematic incident triage, observability strategies, and root-cause analysis across distributed tiers (caching, connection pools, databases, compute) when a scaled service suffers severe latency degradation.

  AtlassianSoftware EngineerSystem DesignTechnical Screen
• Ensure thread-safe updates to org hierarchyHard

  Ensure thread-safe updates to org hierarchy 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.

  AtlassianSoftware EngineerSystem DesignTechnical Screen
• Evaluate Architecture and Capacity Trade-offsMedium

  This problem tests your ability to design a document storage and processing system, specifically focusing on capacity estimation, deduplication strategies, and security considerations.

  AtlassianSoftware EngineerSoftware Engineering FundamentalsOnsite
• Expand Internationally: Data and Strategy for Market EntryMedium

  Expand Internationally: Data and Strategy for Market Entry evaluates behavioral evidence, ownership, communication, trade-offs, and measurable outcomes in a realistic interview setting. A strong answer states assumptions, handles edge cases, explains trade-offs, and shows how to validate the result clearly.

  AtlassianData ScientistBehavioral & LeadershipOnsite
• Explain a Project Architecture Through a Technical Deep DiveMedium

  Prepare an architecture deep dive with an end-to-end diagram, component ownership, interface contracts, design alternatives, and failure-recovery evidence.

  AtlassianSoftware EngineerBehavioral & LeadershipOnsite
• Filter Invalid Data EventsEasy

  Tests your ability to implement a multi-condition event filtering and deduplication pipeline while preserving input order, along with complexity analysis for batch and stream processing.

  AtlassianSoftware EngineerCoding & AlgorithmsTechnical Screen
• Find 2023 NCAA championship winnerMedium

  This question evaluates proficiency in SQL data manipulation and relational reasoning, testing the ability to identify a championship winner from game result records across related tables in the Data Manipulation (SQL/Python) domain for data scientist roles.

  AtlassianData ScientistData Manipulation (SQL/Python)Technical Screen
• Find LCA in a tree and extend to a DAGMedium

  This problem tests your understanding of tree traversal, graph theory, and how to generalize path-finding algorithms from trees to directed acyclic graphs (DAGs).

  AtlassianMachine Learning EngineerCoding & AlgorithmsOnsite
• Find a secret word using match feedbackHard

  Design an optimal querying strategy to identify a secret word from a candidate vocabulary using exact-match character feedback under a strict query budget.

  AtlassianMachine Learning EngineerCoding & AlgorithmsOnsite
• Find nearest common manager for multiple employeesMedium

  This question evaluates proficiency in tree and graph algorithms (lowest common ancestor), input validation for hierarchical data (cycle and disconnected component detection), API design for constructing and querying trees, and algorithmic time/space complexity analysis.

  AtlassianSoftware EngineerCoding & AlgorithmsTechnical Screen
• Find smallest common organization for employeesMedium

  This problem tests your ability to navigate hierarchical structures and find the Lowest Common Ancestor (LCA) in a tree or a directed acyclic graph representing organizational reporting lines.

  AtlassianSoftware EngineerCoding & AlgorithmsTechnical Screen
• Front-End Design of an Emoji Picker with a Search FieldMedium

  A candidate-driven front-end system design discussion about an emoji picker with a search field. It tests how a candidate scopes the component, models and loads the emoji catalog, ranks search results, keeps a grid of thousands of emoji fast, and supports keyboard and screen-reader users.

  AtlassianFrontend EngineerSystem DesignTechnical Screen
• Highlight the Shortest Unique Substring in Each LabelMedium

  Find and highlight the shortest case-insensitive unique substring in each label using bracket notation, breaking ties by earliest index and preserving original casing.

  AtlassianSoftware EngineerCoding & AlgorithmsTechnical Screen
• Implement Real-Time Rate Limiting for Web Service RequestsMedium

  This question evaluates understanding of real-time rate limiting, time-windowed traffic control, and efficient per-client state management under algorithmic constraints.

  AtlassianData ScientistCoding & AlgorithmsTechnical Screen
• Implement sequential and parallel URL requestsMedium

  Implement an asynchronous batch URL fetcher that executes requests with bounded concurrency, deduplicates network calls, preserves input order, and handles per-request errors gracefully.

  AtlassianSoftware EngineerCoding & AlgorithmsTechnical Screen
• Implement sliding-window rate limiter functionMedium

  This problem tests your ability to design a thread-safe rate limiter using a sliding window approach, focusing on time complexity optimization and memory management.

  AtlassianSoftware EngineerCoding & AlgorithmsTechnical Screen
• Implement sliding-window rate limiter with dual thresholdsMedium

  This question evaluates a candidate's skill in implementing efficient online sliding-window rate limiting, covering stream processing, time-based window management, per-key state maintenance, algorithmic complexity analysis, and formal correctness reasoning.

  AtlassianData ScientistCoding & AlgorithmsOnline Assessment
• Merge intervals and design rating APIsMedium

  Tests interval merging logic alongside stateful data structure design for tracking agent performance, calculating streaming averages, and ranking agents with deterministic tie-breaking.

  AtlassianSoftware EngineerCoding & AlgorithmsTechnical Screen
• Merge overlapping intervalsMedium

  This problem tests your ability to manipulate array-based data structures, specifically focusing on sorting and linear-time interval merging logic.

  AtlassianSoftware EngineerCoding & AlgorithmsTechnical Screen
• Minimize max L1 radius with k centers in 1DMedium

  This question evaluates algorithmic problem-solving skills and understanding of clustering and optimization concepts, specifically the 1D k-center (minimax L1) problem, greedy feasibility tests, binary-search-on-answer techniques, numerical stability with large coordinates, and time/space complexity analysis relevant for a Data Scientist role.

  AtlassianData ScientistMachine LearningOnline Assessment
• Per-Caller Request Limiter Over Non-Decreasing Time BucketsEasy

  A coding question about a rate limiter that receives requests as time bucket and caller pairs, in non-decreasing bucket order, and decides which to allow when each caller may make only a fixed number of requests per bucket. It tests stateful counting, per-key bookkeeping and correct handling of bucket changes.

  AtlassianSoftware EngineerCoding & AlgorithmsTechnical Screen
• Store a hierarchy and return all childrenMedium

  This question evaluates understanding of hierarchical data modeling, REST API design, database schema choices (e.g., adjacency list vs alternatives), and systems-level concerns like scalability, pagination for large subtrees, and cycle prevention.

  AtlassianSoftware EngineerSystem DesignOnsite
• Train and evaluate logistic model with regularizationMedium

  This question evaluates proficiency in supervised binary classification with logistic regression, implementation of L1 and L2 regularization, data preprocessing (missingness checks and standardization), hyperparameter selection via cross-validation, and model evaluation using ROC AUC and threshold-dependent metrics.

  AtlassianData ScientistMachine LearningTechnical Screen