Track: Other

Other Roles at Atlassian

Interview Process Overview

• Difficulty: Ranges from average to technical depending on the role (e.g., backend development, stakeholder management).
• Rounds: Typically includes 1-2 technical rounds and 1 behavioral round, focusing on role-specific competencies.

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Round Breakdown

1. Technical Round (Backend/API Focus)

• Focus: Backend implementation tasks, such as API route design and regex usage.
• Common Questions:
  • Implementation of API routes using regular expressions.

2. Technical Round (Algorithmic/Performance Optimization)

• Focus: LeetCode-style coding problems with an emphasis on performance optimization and time complexity analysis.
• Common Questions:
  • Solve a LeetCode-style problem and optimize it while explaining the time complexity.

3. Behavioral Round (Stakeholder Management)

• Focus: Assessing stakeholder management and conflict resolution skills.
• Common Questions:
  • How did you manage a difficult stakeholder?

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Key Takeaways

• Preparation Focus: Tailor your preparation to the specific role (e.g., backend development for API/regex questions, stakeholder management for behavioral rounds).
• Behavioral Themes: Expect questions about leadership, collaboration, and conflict resolution.
• Difficulty: Varies by role, but technical rounds often require problem-solving under constraints.

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Track: Intern

Intern Hiring at Atlassian

Interview Process Overview

• Difficulty: Consistently rated as easy across candidates.
• Rounds: Typically includes 2-3 rounds—a mix of technical (SQL, string manipulation, and algorithmic problems) and behavioral assessments.

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Round Breakdown

1. Technical Round

• Focus: SQL query writing and algorithmic problem-solving (e.g., LeetCode-style questions).
• Common Questions:
  • Find the Nth highest salary without using ROW_NUMBER() or RANK().
  • Needle in a haystack algorithm (string manipulation).

2. Behavioral Round (HR/Managerial)

• Focus: Past experiences, conflict resolution, and setbacks.
• Common Questions:
  • Describe a time you faced a setback.
  • Describe a time you experienced a conflict.

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Key Takeaways

• Preparation Focus: Prioritize SQL fundamentals (e.g., window functions alternatives) and basic data structures (e.g., string manipulation).
• Behavioral Themes: Expect questions about resilience and collaboration.
• Difficulty: Designed to assess foundational skills with minimal complexity.

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Track: SDE-3 / Senior

SDE-3 / Senior Hiring at Atlassian

Interview Process Overview

• Difficulty: Consistently rated as difficult across candidates.
• Rounds: Focuses on technical discussions involving hypothetical ML problems and system design.

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Round Breakdown

1. Technical Round (ML System Design)

• Focus: Drafting solutions for hypothetical machine learning problems and discussing implementation details.
• Common Questions:
  • Design a solution for a hypothetical machine learning problem.
  • Draft a solution for an ML problem and detail your approach, including time complexity and optimization strategies.

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Key Takeaways

• Preparation Focus: Deep dive into ML system design (e.g., model deployment, scalability, and trade-offs).
• Hypothetical Scenarios: Expect open-ended problems that test your ability to think critically about ML pipelines and real-world constraints.
• Difficulty: Designed for candidates with commercial ML experience to showcase architectural thinking and problem-solving depth.

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Track: SDE-1 / New Grad

SDE-1 / New Grad Hiring at Atlassian

Interview Process Overview

• Difficulty: Rated as average across candidates.
• Rounds: Typically includes 1-2 technical rounds, focusing on problem-solving and API/regex concepts.

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Round Breakdown

1. Technical Round

• Focus: LeetCode-style problem-solving and API route implementation.
• Common Questions:
  • Solve a LeetCode question and optimize its performance.
  • Implement API routes using regular expressions (regex).

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Key Takeaways

• Preparation Focus: Strengthen basic algorithms and data structures (e.g., arrays, strings, hash tables).
• API/Regex: Familiarity with backend development and regex patterns is beneficial.
• Difficulty: Designed to evaluate fundamental coding skills and problem-solving under time constraints.

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Track: Data Science / ML

Data Science / ML Hiring at Atlassian

Interview Process Overview

• Difficulty: Rated as technical and discussion-heavy (average difficulty).
• Rounds: Focuses on ML system design and hypothetical problem-solving.

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Round Breakdown

1. Technical Round (ML System Design)

• Focus: Designing solutions for hypothetical machine learning problems and discussing implementation details.
• Common Questions:
  • Design a solution for a hypothetical machine learning problem.

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Key Takeaways

• Preparation Focus: Prioritize ML system design (e.g., model selection, feature engineering, and deployment strategies).
• Hypothetical Scenarios: Be prepared for open-ended questions that test your ability to think critically about scalability and real-world constraints.
• Difficulty: Designed to assess architectural thinking and practical ML knowledge rather than just coding skills.