Scale Engineer

Software Engineer

Software EngineerL5Hard

Grammarly's Software Engineer L5 interview process is designed to assess a candidate's technical expertise, problem-solving abilities, system design skills, and cultural fit. The process typically involves multiple rounds, including technical interviews, a system design interview, and behavioral interviews, to ensure a comprehensive evaluation.

Rounds·4

Timeline·~14d

Experience·5 - 10 yrs

Comp band·US$140000 - US$180000

Interview time·165 min

Evaluation

What they measure.

  • Technical proficiency in relevant programming languages (e.g., Python, Java, JavaScript).
  • Strong understanding of data structures and algorithms.
  • Ability to write clean, efficient, and maintainable code.
  • Problem-solving skills and analytical thinking.

Preparation

How to prepare.

Tips

  1. Review core computer science concepts: data structures, algorithms, operating systems, databases.
  2. Practice coding problems on platforms like LeetCode, HackerRank, focusing on medium to hard difficulty.
  3. Study system design principles and common architectural patterns.
  4. Prepare to discuss your past projects in detail, highlighting your contributions and impact.
  5. Research Grammarly's products, mission, and values.
  6. Prepare behavioral questions using the STAR method (Situation, Task, Action, Result).
  7. Practice explaining your thought process clearly and concisely.
  8. Be ready to ask insightful questions about the role, team, and company.

Study plan

Fig · Study plan — 04 phases

01 / 04
01

Phase 01 of 04

Data Structures & Algorithms

Weeks 1-2: DSA fundamentals and practice (2-3 problems/day).

Weeks 1-2: Focus on Data Structures and Algorithms. Cover arrays, linked lists, trees, graphs, hash tables, heaps, sorting, searching, dynamic programming, and greedy algorithms. Practice implementing these structures and algorithms and analyzing their time and space complexity. Aim for 2-3 medium/hard problems per day.

Questions

Commonly asked.

  • Design a system to detect plagiarism.
  • How would you design a real-time collaborative editor like Google Docs?
  • Given a large dataset of user interactions, how would you identify trending topics?
  • Explain the concept of eventual consistency and when it's appropriate to use.
  • Describe a time you had to deal with a production incident. What was your role and what did you learn?
  • How do you approach performance optimization for a web application?
  • What are the trade-offs between monolithic and microservices architectures?
  • Tell me about a time you mentored a junior engineer.
  • How would you design a rate limiter for an API?
  • What are your favorite programming languages and why?

Locations

Regional differences.

Fig · Regions — 03 locations

01 / 03

Location

San Francisco

Interview focus

Emphasis on distributed systems and large-scale architecture.Deep dive into performance optimization and scalability challenges.Assessing leadership potential and ability to influence technical direction.

Common questions

  • Discuss a challenging technical problem you solved at scale.
  • How do you approach designing a scalable and reliable system for real-time collaboration?
  • Describe a time you had to mentor junior engineers. What was your approach?
  • Tell me about a time you disagreed with a technical decision. How did you handle it?

Tips

  • Be prepared to discuss your experience with cloud platforms (AWS, GCP, Azure) in detail.
  • Highlight instances where you've driven technical initiatives or led projects.
  • Showcase your understanding of asynchronous processing and microservices architecture.

Rounds

Round-by-round.

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

DSA

Coding questions at Grammarly.

Frequently reported on Grammarly loops

View all at Grammarly

Other guides

More at Grammarly.