Atlassian

Assessment Rubric Overview: "Work Schedule" Problem

Core Competencies and Skills Evaluated

This problem assesses a candidate's proficiency in algorithmic problem-solving, particularly focusing on combinatorial optimization and constraint satisfaction. Candidates are expected to demonstrate:

• Analytical Thinking: Ability to dissect the problem into manageable components, understanding the interplay between fixed and variable elements within the schedule.

• Algorithm Design: Crafting efficient algorithms to generate all valid schedules that meet the specified constraints, ensuring correctness and optimal performance.

• Attention to Detail: Meticulous handling of edge cases, such as ensuring the total hours sum exactly to the required work hours and that daily hours do not exceed the maximum limit.

• Programming Proficiency: Competence in implementing the solution in a chosen programming language, with a focus on clean, readable, and maintainable code.

Behavioral Traits and Problem-Solving Approaches Assessed

Interviewers will evaluate the following behavioral traits:

• Structured Problem-Solving: Approach to breaking down complex problems into smaller, solvable parts, and systematically addressing each component.

• Adaptability: Willingness to adjust strategies when initial approaches are suboptimal, demonstrating learning agility.

• Communication Skills: Clarity in articulating thought processes, justifying decisions, and explaining solutions effectively.

• Resilience: Ability to handle challenging scenarios, such as tight constraints or unexpected requirements, without becoming discouraged.

Assessment Process Expectations

Candidates can anticipate the following stages during the assessment:

1. Problem Understanding: Clarifying the problem statement, asking pertinent questions to ensure a comprehensive grasp of the requirements.

2. Solution Design: Outlining a high-level approach, discussing potential algorithms, and considering time and space complexities.

3. Implementation: Coding the solution, adhering to best practices, and ensuring the program handles all specified constraints.

4. Testing and Validation: Running test cases, including edge cases, to verify the correctness and efficiency of the solution.

5. Review and Discussion: Explaining the solution, discussing alternative approaches, and reflecting on the problem-solving process.

Preparation Recommendations

To excel in this type of problem, candidates should:

• Master Algorithmic Techniques: Focus on dynamic programming, backtracking, and greedy algorithms, as they are often applicable to combinatorial problems.

• Practice Problem-Solving: Engage with platforms like LeetCode and HackerRank to solve similar scheduling and constraint satisfaction problems.

• Understand Time and Space Complexity: Be adept at analyzing and optimizing algorithms to ensure solutions are both correct and efficient.

• Enhance Coding Skills: Write clean, modular, and well-documented code, and practice debugging and testing thoroughly.

Evaluation Criteria and Technical Concepts

Candidates should demonstrate:

• Correctness: The solution must meet all problem requirements and handle all specified constraints accurately.

• Efficiency: The algorithm should operate within acceptable time and space limits, especially for large input sizes.

• Code Quality: The implementation should be well-structured, with clear variable names, appropriate comments, and adherence to coding standards.

• Problem-Solving Approach: A logical and systematic approach to solving the problem, demonstrating depth of understanding.

Atlassian-Specific Expectations and Cultural Fit Considerations

Atlassian values candidates who:

• Embody Core Values: Demonstrate alignment with Atlassian's principles, such as openness, collaboration, and a commitment to excellence.

• Collaborate Effectively: Showcase teamwork skills, including the ability to work harmoniously with others and contribute to a positive team environment.

• Communicate Transparently: Exhibit clear and open communication, both in articulating ideas and in receiving and acting upon feedback.

• Adapt and Learn: Display a growth mindset, with a willingness to learn from experiences and adapt to new challenges.

By focusing on these areas, candidates can prepare effectively for the assessment, demonstrating both technical proficiency and alignment with Atlassian's values.