Verily'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 HR screening, technical interviews focusing on data structures and algorithms, system design, and behavioral assessments. The goal is to identify candidates who can contribute effectively to Verily's innovative projects and uphold its collaborative culture.
Rounds·4
Timeline·~21d
Experience·5 - 10 yrs
Comp band·US$140000 - US$180000
Interview time·180 min
Evaluation
What they measure.
Problem-solving skills
Algorithmic thinking
Data structure knowledge
Coding proficiency
Ability to write clean, maintainable, and efficient code
System design capabilities
Scalability and performance considerations
Trade-off analysis
Understanding of distributed systems
API design
Communication skills
Teamwork and collaboration
Leadership potential
Adaptability
Alignment with Verily's values
Ability to articulate thought process
Clarity of explanation
Responsiveness to feedback
Preparation
How to prepare.
Tips
01Review fundamental data structures (arrays, linked lists, trees, graphs, hash tables) and algorithms (sorting, searching, dynamic programming, graph traversal).
02Practice coding problems on platforms like LeetCode, HackerRank, or AlgoExpert, focusing on medium to hard difficulty.
03Study system design principles, common architectural patterns (microservices, monolithic), and trade-offs.
04Prepare for behavioral questions by reflecting on past experiences using the STAR method (Situation, Task, Action, Result).
05Understand Verily's mission, values, and recent projects to tailor your answers.
06Practice explaining your thought process clearly and concisely.
07Research common interview questions for Software Engineer roles at top tech companies.
Study plan
Fig · Study plan — 05 phases
01 / 05
01
Phase 01 of 05
Data Structures and Algorithms Fundamentals
Weeks 1-2: Data Structures & Basic Algorithms. Practice implementations and related problems.
Weeks 1-2: Focus on core data structures (Arrays, Linked Lists, Stacks, Queues, Trees, Graphs, Hash Maps) and their common operations. Practice implementing them and solving problems related to their usage. Cover basic algorithms like sorting (Merge Sort, Quick Sort) and searching (Binary Search).
Weeks 3-4: Dive into more advanced algorithms such as Dynamic Programming, Greedy Algorithms, Graph Algorithms (BFS, DFS, Dijkstra's), and String Manipulation. Focus on time and space complexity analysis for all problems.
03
Phase 03 of 05
System Design Principles
Weeks 5-6: System Design Fundamentals. Study scalability, databases, caching, APIs.
Weeks 5-6: Begin system design preparation. Study concepts like scalability, availability, reliability, load balancing, caching, databases (SQL vs. NoSQL), message queues, and API design. Work through common system design case studies.
04
Phase 04 of 05
Behavioral Preparation and Company Research
Week 7: Behavioral Prep. Use STAR method. Research Verily's culture.
Week 7: Focus on behavioral preparation. Identify key projects and experiences that demonstrate leadership, teamwork, problem-solving, and conflict resolution. Practice articulating these using the STAR method. Research Verily's culture and values.
05
Phase 05 of 05
Mock Interviews and Final Review
Week 8: Mock Interviews & Final Review. Practice coding and system design under pressure.
Week 8: Mock interviews and final review. Practice coding problems under timed conditions and conduct mock system design interviews. Review all topics and refine explanations.
Questions
Commonly asked.
Given an array of integers, find the contiguous subarray with the largest sum.
Design a URL shortening service like bit.ly.
How would you design a system to track the top K trending items in real-time?
Explain the difference between a process and a thread.
Describe a time you had to deal with a difficult stakeholder. How did you handle it?
Implement a function to reverse a linked list.
Discuss the trade-offs between using a relational database and a NoSQL database for a social media platform.
How do you approach debugging a complex issue in a distributed system?
Tell me about a time you failed. What did you learn from it?
Design a system for a ride-sharing service like Uber or Lyft.
Locations
Regional differences.
Fig · Regions — 02 locations
01 / 02
Location
Mountain View, CA
Interview focus
Deep dive into distributed systems and scalability challenges relevant to the specific office's projects.Emphasis on practical application of algorithms and data structures in real-world scenarios.Understanding of local tech community trends and best practices.
Common questions
How would you design a distributed caching system for a large-scale web application?
Discuss a challenging technical problem you solved and your approach.
Explain the trade-offs between different database technologies for a specific use case.
How do you handle concurrency in a multi-threaded environment?
Describe your experience with cloud platforms (AWS, GCP, Azure) and their services.
Tips
Research Verily's projects and teams based in this specific location.
Be prepared to discuss your experience with technologies commonly used in this region.
Network with Verily employees in this location if possible to gain insights.
Location
Cambridge, MA
Interview focus
Focus on data-intensive applications and machine learning infrastructure.Assessment of experience with large-scale data processing and analytics.Understanding of cloud-native architectures and DevOps practices.
Common questions
Design an API for a real-time collaboration tool.
How would you optimize a slow-performing database query?
Discuss your experience with machine learning pipelines and deployment.
Explain the principles of microservices architecture and its benefits.
How do you ensure the security of a web application?
Tips
Familiarize yourself with Verily's work in genomics and healthcare data.
Highlight projects involving large datasets and machine learning.
Be ready to discuss your contributions to open-source projects if applicable.
Rounds
Round-by-round.
Expand a step for evaluation criteria, sample questions, and prep notes.
Easy
HR Screening · 30 min · Recruiter / HR
This initial screening call with HR or a recruiter is to understand your background, career aspirations, and motivation for applying to Verily. They will also discuss logistics, salary expectations, and provide an overview of the interview process. This is a good opportunity to ask any initial questions you might have about the company or the role.
What they look for
Clear understanding of the role and its impact.Alignment with team and company goals.Genuine interest in Verily and the position.Professionalism and good communication.
Evaluation
Understanding of the role and responsibilities.
Alignment of expectations (role, team, career growth).
Enthusiasm and interest in the position.
Logistical fit (start date, location preferences).
Sample questions
Can you walk me through your resume?
ResumeExperience
What are your salary expectations for this role?
CompensationLogistics
Why are you looking to leave your current role?
MotivationCareer Goals
What do you know about Verily?
Company ResearchMotivation
Prep for this round
01Be prepared to discuss your resume and career history.
02Have a clear understanding of your salary expectations.
03Research Verily's mission, values, and recent news.
04Prepare questions about the role, team, and company culture.
This round focuses on your core computer science knowledge. You will be asked to solve one or two coding problems that typically involve data structures and algorithms. The interviewer will assess your ability to understand the problem, devise an efficient solution, write clean and correct code, and explain your reasoning. Expect to discuss time and space complexity.
What they look for
Strong grasp of fundamental data structures and algorithms.Ability to translate a problem into a working code solution.Clear and logical thinking process.Attention to edge cases and constraints.
Evaluation
Correctness of the solution
Efficiency of the solution (time and space complexity)
Code quality (readability, maintainability)
Problem-solving approach
Ability to explain the solution
Sample questions
Given a binary tree, find its inorder traversal.
TreeRecursionIteration
Find the kth smallest element in an unsorted array.
ArraySortingQuickSelect
Implement a function to check if a string is a palindrome, ignoring non-alphanumeric characters and case.
StringTwo Pointers
Prep for this round
01Practice coding problems on platforms like LeetCode, focusing on medium difficulty.
02Be prepared to explain your approach before coding.
03Write clean, well-commented code.
04Test your code with various edge cases.
05Clearly articulate your thought process throughout the problem-solving session.
Common rejection reasons
×Poor communication of thought process.
×Inability to write working code.
×Fundamental misunderstanding of data structures or algorithms.
×Not asking clarifying questions.
Hard
System Design Interview · 60 min · Senior Software Engineer / Architect
This round assesses your ability to design large-scale, distributed systems. You'll be given an open-ended problem (e.g., design Twitter's feed, a URL shortener, a distributed cache) and expected to break it down, identify components, discuss data models, APIs, scalability bottlenecks, and trade-offs. The focus is on your architectural thinking and ability to handle complexity.
What they look for
Experience in designing complex systems.Knowledge of architectural patterns and technologies.Ability to think critically about trade-offs.Effective communication of technical ideas.
Evaluation
Ability to design scalable and reliable systems.
Understanding of distributed systems concepts.
Trade-off analysis and justification of design choices.
Clarity and structure of the design.
Handling of requirements and constraints.
Sample questions
Design a system like TinyURL.
System DesignScalabilityDatabasesAPI Design
Design a distributed message queue.
System DesignDistributed SystemsConcurrencyReliability
Design the backend for a real-time chat application.
System DesignWebSocketsScalabilityDatabases
Prep for this round
01Study common system design patterns (e.g., microservices, load balancing, caching strategies, database sharding).
02Practice designing systems like Twitter, Facebook news feed, Uber, etc.
03Understand the trade-offs between different technologies (e.g., SQL vs. NoSQL, REST vs. gRPC).
04Be prepared to draw diagrams and explain your design clearly.
05Think about scalability, availability, reliability, and latency.
Common rejection reasons
×Lack of clarity in system design.
×Failure to consider scalability and trade-offs.
×Inability to handle ambiguity.
×Poor communication of design choices.
Med
Behavioral Interview · 45 min · Hiring Manager / Senior Team Member
This round focuses on your past experiences, work style, and how you handle various workplace situations. You'll be asked behavioral questions using the STAR method (Situation, Task, Action, Result) to understand your strengths, weaknesses, how you collaborate, handle conflict, and your motivation for joining Verily.
What they look for
Evidence of collaboration and teamwork.Ability to handle challenges and learn from mistakes.Alignment with Verily's mission and values.Strong communication and interpersonal skills.