Atlassian Interview Questions (2026)
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1/6Atlassian Principal Engineer Onsite Interview Experience (2025)
Atlassian Interview Experience for Full Time Software Engineer, Bangalore (On-Campus)
Atlassian Interview Experience | On-Campus FTE
Atlassian P50 Interview Experience| Jan 2025
Atlassian Internship Interview Experience (On Campus)
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Atlassian (P40)
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Atlassian | Senior Software Engineer | Bengaluru | August [Offer]
Atlassian Virtual Onsite 2 rounds P60 (cleared)
Atlassian P60 Phone Screen | Cleared and moved to Onsite
Atlassian | P50 | Bangalore | April 2024 [Reject]
Atlassian Interview Experience for SDE 3, P50 Backend Role
Atlassian | SDE3 | India, Remote | JAN 2024 [Offer]
Atlassian Women in Tech'23 OA Questions !!
Atlassian first round - rejected
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Atlassian Frontend Karet Round
Atlassian Women in Tech Coding Interview Experience for Summer Internship (Off-Campus)
Atlassian System design: Tagging system
Atlassian | SDE Intern 2023 | India | Nov 2022 [Selected]
Atlassian Principal Engineer Onsite Interview Experience (2025)
Question Details
Candidate Profile *
Experience: 13 Years (B.Tech, CSE) *
Target Role: Principal Engineer (Remote) *
Company: Atlassian *
Date: September 2025 *
Outcome: Offer down-leveled to Senior (P50) due to Round 6; Offer
rejected.
**
Round 1 Telephonic Screening (30 mins)** *
Focus: Experience, concepts, and high-level design. *
Problem 1 (Coding Concept): Discuss the approach to implement an LRU (Least Recently Used) cache. No coding required. *
Problem 2 (System Design): Design a Google Doc-style collaborative editor. * Solution focus: Handling conflicts and utilizing WebSockets for real-time updates. *
Problem 3 (System Design): Design a file storage and search system where files are retrieved by name or content keywords. * Solution focus: Utilize object storage for file persistence and Elasticsearch for content-based indexing and retrieval.
**
Round 2 Values (45 mins)** *
Focus: Situational questions centered on Atlassian's core values.
**
Round 3 Leadership Craft (1 hour)** *
Focus: Behavioral questions based on past leadership experiences and scenarios.
**
Round 4 System Design (1 hour)** *
Problem: Design a web scraping system to extract image URLs from a provided list of domain URLs. *
Required API Endpoints: 1. POST /jobs: Accepts a list of URLs (e.g., ["abc.com", "amazon.com"]) and returns a job_id. 2. GET /jobs/{job_id}/status:
Returns the count of completed and in-progress tasks. 3. GET /jobs/{job_id}/results:
Returns a map of source URLs to the extracted image URLs.
**
Round 5 Code Design (1 hour)** *
Problem: Implement a logic for a "Cinema Hall Manager" to determine if a new movie fits into an existing schedule without overlaps. *
Constraints: * Cinema operates from 10:00 AM to 11:00 PM (single-day schedule). * Start and end times are represented as minutes from midnight. *
Task: Implement the function boolean canSchedule(Movie movie, MovieSchedule schedule). *
Input Data: * Movie: Title and duration in minutes. * Screenings: List of existing movies with titles and start times (minutes from midnight).
**
Round 6 Data Structures (1 hour)** *
Problem: Given an employee directory structured as a hierarchy of groups and departments. *
Task: Identify the closest parent group or department for a given set of target employees. * Example: In a tree structure, if looking for "Alice" and "Lisa,"
return their immediate shared group (e.g., "Engineering"). *
Algorithmic Concept: The problem maps to finding the Lowest Common Ancestor (LCA) in a tree structure.
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Atlassian Interview Process Overview
The Atlassian interview process typically includes a recruiter screen, one to two technical phone screens, and a 4-6 round on-site or virtual on-site loop. Each round serves a distinct calibration purpose: coding rounds measure correctness, code quality, and complexity reasoning; system design rounds measure architectural judgment at the appropriate level; behavioral rounds measure ownership, leadership scope, and collaboration. Reports tagged on LeakCode from 2024-2026 show Atlassian runs a calibrated process consistent with industry norms for companies of its tier.
Difficulty calibration: Atlassian coding rounds typically run medium difficulty with follow-up depth as the senior discriminator. System design rounds expect production-grade trade-off articulation at L4+ levels. Behavioral rounds expect quantified outcomes ("reduced p99 latency from 800ms to 120ms") rather than vague impact claims. The candidates who advance consistently demonstrate clear thinking out loud rather than perfect final answers.
How To Use Atlassian Question Reports
Real candidate-reported interview questions are a calibration tool, not a memorization target. Atlassian updates its question pool every 2-4 months; memorizing exact problems risks misleading you when the interviewer uses a variant. The high-leverage approach: identify the patterns that appear repeatedly in Atlassian reports, practice those patterns on similar (not identical) problems, and use the reports to understand the interviewer's typical follow-up depth.
Filter the questions above by round type, difficulty, and recency. Focus first on reports from the past 6-12 months; older reports may reference questions that have since rotated out of Atlassian's pool. Reports tagged with quantified difficulty and explicit round type are higher-signal than reports without those tags. The metadata filters help you build a focused study plan in 1-2 hours rather than 8-10 hours of unstructured browsing.
Common Atlassian Interview Mistakes
Reports tagged "no hire" at Atlassian consistently surface a few patterns: jumping into code without clarifying requirements, coding silently for extended periods, missing edge cases (empty input, single element, large input, overflow), producing working code the candidate cannot refactor when probed, and behavioral stories that use "we" instead of "I" diluting individual signal. Strong candidates explicitly avoid these patterns by following a consistent round template.
The single most predictive failure mode in recent reports: not asking clarifying questions. Interviewers are explicitly trained to weight this dimension. Strong candidates ask 3-5 clarifying questions even on problems that look obvious; weak candidates dive into implementation immediately. Strong candidates also verbalize their approach before writing code; weak candidates code in silence and lose the communication dimension of the round's calibration.
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