Scale Engineer

Software Engineer

Software EngineerL6Hard

This interview process is for a Software Engineer (L6) position at Verily. It is designed to assess a candidate's technical expertise, problem-solving abilities, system design skills, and cultural fit within the company.

Rounds·4

Timeline·~14d

Experience·6 - 10 yrs

Comp band·US$150000 - US$200000

Interview time·195 min

Evaluation

What they measure.

  • Technical proficiency in core computer science concepts (data structures, algorithms, complexity analysis).
  • Problem-solving skills and logical thinking.
  • System design capabilities, including scalability, reliability, and maintainability.
  • Communication skills and ability to articulate technical concepts clearly.
  • Behavioral and cultural fit, including teamwork, leadership potential, and adaptability.

Preparation

How to prepare.

Tips

  1. Review fundamental computer science concepts, especially data structures and algorithms.
  2. Practice coding problems on platforms like LeetCode, HackerRank, or similar.
  3. Study system design principles and common architectural patterns.
  4. Prepare for behavioral questions by reflecting on past experiences using the STAR method (Situation, Task, Action, Result).
  5. Research Verily's mission, products, and recent news.
  6. Understand the specific technologies and domains relevant to the role you are applying for.

Study plan

Fig · Study plan — 04 phases

01 / 04
01

Phase 01 of 04

Data Structures and Algorithms

Weeks 1-2: Data Structures & Algorithms fundamentals. Practice coding problems.

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 and analyze their time and space complexity. Aim for at least 5-7 problems per data structure/algorithm type.

Questions

Commonly asked.

  • Tell me about a time you led a complex technical project from inception to completion.
  • Design a URL shortening service like bit.ly.
  • How would you design a system to handle real-time analytics for a large streaming platform?
  • Describe a challenging bug you encountered and how you debugged it.
  • What are your thoughts on microservices vs. monolithic architectures?
  • How do you handle technical debt?
  • Tell me about a time you failed. What did you learn from it?
  • How do you mentor junior engineers?
  • What are the trade-offs between different database technologies?
  • Design a system for managing patient health records securely and efficiently.

Locations

Regional differences.

Fig · Regions — 02 locations

01 / 02

Location

South San Francisco

Interview focus

Deep dive into specific technologies and their application in the healthcare/life sciences domain.Understanding of regulatory compliance and data privacy (e.g., HIPAA) in system design.Ability to lead technical discussions and influence architectural decisions.

Common questions

  • Discuss a complex technical challenge you faced in a previous role and how you overcame it.
  • How do you approach designing a scalable and reliable system for [specific domain relevant to Verily, e.g., healthcare data processing]?
  • Describe a time you had to mentor junior engineers. What was your approach?
  • What are your thoughts on the current trends in [relevant tech field, e.g., machine learning in healthcare]?

Tips

  • Research Verily's specific projects and products in the life sciences and healthcare space.
  • Be prepared to discuss how your technical skills can contribute to solving real-world health problems.
  • Highlight any experience with large-scale data processing, bioinformatics, or clinical trial management systems.

Rounds

Round-by-round.

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

DSA

Coding questions at Verily.

Frequently reported on Verily loops

View all at Verily

Other guides

More at Verily.