Atlassian

Assessment Rubric Overview: "Paths to a Goal"

The "Paths to a Goal" problem evaluates a candidate's proficiency in algorithm design, particularly in dynamic programming and combinatorial analysis. Candidates are expected to determine the number of subsequences within a sequence of movements that transition from a starting point x to an endpoint y on a number line. This requires a solid understanding of sequence manipulation, state tracking, and efficient computation methods.

Core Competencies and Skills Evaluated:

• Algorithm Design and Analysis: Ability to conceptualize and implement algorithms that efficiently compute the desired subsequences, with a focus on time and space complexity optimization.

• Dynamic Programming: Proficiency in formulating and solving problems using dynamic programming techniques to handle overlapping subproblems and optimal substructure.

• Combinatorial Problem Solving: Skill in analyzing and counting distinct subsequences within a sequence, ensuring accuracy and efficiency in the counting process.

• Coding Proficiency: Competence in writing clean, efficient, and well-documented code in the language of choice, adhering to best practices and industry standards.

Behavioral Traits and Problem-Solving Approaches Assessed:

• Analytical Thinking: Demonstrated ability to break down complex problems into manageable components and develop structured solutions.

• Adaptability: Willingness to adjust approaches based on new information or constraints, showcasing flexibility in problem-solving.

• Communication Skills: Clear articulation of thought processes, problem-solving strategies, and justifications for chosen solutions.

• Attention to Detail: Meticulousness in handling edge cases, ensuring robustness and correctness in solutions.

Assessment Process Expectations:

Atlassian's interview process is known for its thoroughness and structure. Candidates can anticipate multiple stages, including:

1. Recruiter Screening: An initial discussion to assess fit and motivation.

2. Technical Interviews: Multiple rounds focusing on coding skills, algorithmic thinking, and system design.

3. Behavioral Interviews: Evaluations based on Atlassian's core values and cultural fit.

Each stage is designed to assess both technical expertise and alignment with the company's values. Feedback is typically provided after each round, with a comprehensive review at the conclusion of the process. Candidates should be prepared for a structured and evaluative experience.

Preparation Recommendations:

• Algorithm Mastery: Engage in regular practice of dynamic programming and combinatorial problems to build a strong foundation.

• Mock Interviews: Participate in mock interviews to simulate the interview environment and receive constructive feedback.

• System Design Exposure: Familiarize yourself with system design concepts, as they are often integral to the interview process.

• Behavioral Question Preparation: Reflect on past experiences and prepare to discuss them in the context of Atlassian's values.

Evaluation Criteria and Technical Concepts:

• Problem Understanding: Clarity in grasping the problem requirements and constraints.

• Solution Efficiency: Development of solutions with optimal time and space complexity.

• Code Quality: Writing of clean, maintainable, and well-documented code.

• Cultural Fit: Demonstration of alignment with Atlassian's values and collaborative work environment.

By focusing on these areas, candidates can effectively prepare for the "Paths to a Goal" problem and align with Atlassian's interview expectations.