Scale Engineer

Senior Software Engineer

Software EngineerL5Hard

This interview process is for a Senior Software Engineer (L5) role at Niantic, focusing on assessing a candidate's technical expertise, problem-solving abilities, system design skills, and cultural fit within the company. The process is designed to evaluate candidates with a significant amount of professional experience.

Rounds·4

Timeline·~14d

Experience·5 - 10 yrs

Comp band·US$140000 - US$180000

Interview time·210 min

Evaluation

What they measure.

  • Technical proficiency in core computer science concepts.
  • Problem-solving approach and analytical skills.
  • Ability to design scalable and robust systems.
  • Communication skills and clarity of thought.
  • Cultural fit and alignment with Niantic's values.

Preparation

How to prepare.

Tips

  1. Review fundamental data structures and algorithms.
  2. Practice system design problems, focusing on scalability, reliability, and trade-offs.
  3. Brush up on object-oriented design principles and design patterns.
  4. Prepare to discuss your past projects and technical challenges in detail.
  5. Understand Niantic's products and mission.
  6. Practice behavioral questions using the STAR method (Situation, Task, Action, Result).
  7. Familiarize yourself with common cloud services and distributed systems concepts.

Study plan

Fig · Study plan — 04 phases

01 / 04
01

Phase 01 of 04

Data Structures & Algorithms

Weeks 1-2: DSA Fundamentals (LeetCode Medium/Hard)

Weeks 1-2: Focus on core data structures (arrays, linked lists, trees, graphs, hash tables) and algorithms (sorting, searching, dynamic programming, graph traversal). Practice implementing these in your preferred language. Solve LeetCode problems tagged 'Medium' and 'Hard'.

Questions

Commonly asked.

  • Design a system to handle real-time location updates for millions of users.
  • How would you optimize a database query that is causing performance issues?
  • Describe a time you disagreed with a technical decision. How did you handle it?
  • What are the trade-offs between monolithic and microservices architectures?
  • How do you approach testing in a large-scale distributed system?
  • Tell me about a challenging bug you encountered and how you debugged it.
  • How would you design a recommendation engine for a game?
  • What are your thoughts on continuous integration and continuous deployment (CI/CD)?
  • Explain the concept of eventual consistency.
  • How do you stay updated with new technologies?

Locations

Regional differences.

Fig · Regions — 02 locations

01 / 02

Location

San Francisco

Interview focus

Deep understanding of distributed systems and scalability.Experience with game development technologies and AR/location-based services.Proficiency in cloud-native architectures and microservices.Ability to mentor junior engineers and lead technical initiatives.

Common questions

  • How would you design a real-time multiplayer game server for a location-based AR game?
  • Discuss a challenging technical problem you solved related to distributed systems or large-scale data processing.
  • How do you approach performance optimization in a complex system?
  • Describe your experience with cloud platforms (AWS, GCP, Azure) and how you've used them for scalable applications.

Tips

  • Highlight any experience with Unity, Unreal Engine, or other game development tools.
  • Be prepared to discuss specific examples of scaling challenges and solutions.
  • Emphasize your contributions to open-source projects or significant technical leadership roles.
  • Research Niantic's current games and technologies to tailor your answers.

Rounds

Round-by-round.

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

DSA

Coding questions at Niantic.

Frequently reported on Niantic loops

View all at Niantic

Other guides

More at Niantic.