Scale Engineer

Software Engineer

Software EngineerL4Medium to Hard

Asana's L4 Software Engineer interview process is designed to assess a candidate's technical proficiency, problem-solving abilities, and cultural fit within the company. The process typically involves multiple rounds, including technical interviews, a system design interview, and a behavioral interview, culminating in a hiring manager discussion.

Rounds·4

Timeline·~14d

Experience·3 - 7 yrs

Comp band·US$130000 - US$180000

Interview time·180 min

Evaluation

What they measure.

  • Problem-solving skills
  • Algorithmic thinking
  • Data structure knowledge
  • Code quality and efficiency
  • System design capabilities
  • Scalability and performance considerations
  • Communication skills
  • Collaboration and teamwork
  • Cultural fit and alignment with Asana's values

Preparation

How to prepare.

Tips

  1. Review fundamental Computer Science concepts: data structures (arrays, linked lists, trees, graphs, hash maps), algorithms (sorting, searching, graph traversal, dynamic programming), and time/space complexity analysis.
  2. Practice coding problems on platforms like LeetCode, HackerRank, or Coderbyte, focusing on medium and hard difficulty levels.
  3. Study system design principles: scalability, reliability, availability, consistency, databases (SQL vs. NoSQL), caching, load balancing, message queues, and API design.
  4. Prepare to discuss your past projects in detail, focusing on your contributions, challenges faced, and lessons learned.
  5. Understand Asana's product, mission, and engineering culture. Research recent engineering blog posts or talks.
  6. Practice behavioral questions using the STAR method (Situation, Task, Action, Result) to structure your answers.
  7. Prepare thoughtful questions to ask the interviewer about the role, team, and company.

Study plan

Fig · Study plan — 04 phases

01 / 04
01

Phase 01 of 04

Data Structures & Algorithms Fundamentals

Weeks 1-2: Data Structures & Algorithms (Arrays, Lists, Trees, Graphs, HashMaps, Sorting, Searching, DP). 2-3 medium LeetCode problems/day.

Weeks 1-2: Focus on core data structures and algorithms. Master arrays, linked lists, stacks, queues, trees (binary trees, BSTs, heaps), graphs, and hash tables. Practice common algorithms like sorting (quicksort, mergesort), searching (binary search), graph traversals (BFS, DFS), and dynamic programming. Aim for 2-3 medium LeetCode problems per day.

Questions

Commonly asked.

  • Given an array of integers, find the contiguous subarray with the largest sum.
  • Design a system like Twitter's news feed.
  • How would you implement a rate limiter?
  • Describe a time you had to deal with ambiguity in a project.
  • What are the trade-offs between using a relational database and a NoSQL database?
  • Explain the concept of eventual consistency.
  • Tell me about a challenging bug you fixed.
  • How do you approach learning a new technology?
  • Design an API for a task management application.
  • What are your strengths and weaknesses?

Locations

Regional differences.

Fig · Regions — 03 locations

01 / 03

Location

San Francisco

Interview focus

Emphasis on collaborative problem-solving.Adaptability to Asana's fast-paced environment.Understanding of distributed systems and scalability relevant to Asana's product.

Common questions

  • Discuss a challenging technical problem you solved at Asana.
  • How would you design a system to handle real-time notifications for a large user base?
  • Describe a time you disagreed with a teammate and how you resolved it.

Tips

  • Research Asana's core products and engineering challenges.
  • Prepare to discuss your contributions to open-source projects if applicable.
  • Be ready to articulate your thought process clearly and concisely.

Rounds

Round-by-round.

Expand a step for evaluation criteria, sample questions, and prep notes.

Med

Technical Interview (Coding) · 45 min · Software Engineer

This round focuses on your fundamental computer science knowledge. You will be asked to solve 1-2 coding problems, typically involving data structures and algorithms. The interviewer will assess your ability to understand the problem, devise a solution, implement it in code, and analyze its complexity. Expect follow-up questions to optimize your solution or handle edge cases.

What they look for

Strong grasp of data structures and algorithms.Ability to write clean, efficient, and bug-free code.Logical thinking and systematic approach to problem-solving.Understanding of time and space complexity.

Evaluation

  • Correctness of solution
  • Efficiency (time and space complexity)
  • Code clarity and organization
  • Problem-solving approach
  • Ability to handle follow-up questions and optimizations

Sample questions

  • Given a binary tree, find its inorder traversal.

    TreeRecursionIteration

  • Find the kth largest element in an unsorted array.

    ArraySortingHeap

  • Implement a function to check if a string is a palindrome.

    StringTwo Pointers

Prep for this round

  1. 01Practice coding problems on platforms like LeetCode, focusing on common data structures (arrays, linked lists, trees, graphs, hash maps) and algorithms (sorting, searching, dynamic programming).
  2. 02Be prepared to explain your thought process step-by-step.
  3. 03Write clean, well-commented code.
  4. 04Consider edge cases and test your solution thoroughly.

Common rejection reasons

  • ×Inability to articulate thought process clearly.
  • ×Poor understanding of fundamental data structures and algorithms.
  • ×Inefficient or incorrect code implementation.
  • ×Lack of attention to edge cases.

DSA

Coding questions at Asana.

Frequently reported on Asana loops

View all at Asana

Other guides

More at Asana.