Software Engineer

Software EngineerL6Hard

Verkada's Software Engineer L6 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 a behavioral interview, culminating in a hiring manager discussion.

Rounds·4

Timeline·~14d

Experience·5 - 10 yrs

Comp band·US$170000 - US$220000

Interview time·195 min

Evaluation

What they measure.

  • Problem-solving skills
  • Algorithmic thinking
  • Data structures knowledge
  • Code quality and efficiency
  • Debugging abilities

Preparation

How to prepare.

Tips

  1. Review fundamental data structures and algorithms.
  2. Practice coding problems on platforms like LeetCode, focusing on medium to hard difficulty.
  3. Study system design concepts, including scalability, databases, caching, and distributed systems.
  4. Prepare examples for common behavioral questions using the STAR method (Situation, Task, Action, Result).
  5. Research Verkada's products, mission, and values to tailor your responses.
  6. Understand the specific technologies and programming languages commonly used at Verkada (e.g., Go, Python, C++, distributed systems, cloud technologies).

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 2-3 problems/day.

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 from scratch and analyze their time and space complexity. Aim for 2-3 coding problems per day.

Questions

Commonly asked.

  • Given a large dataset of user activity logs, design a system to detect fraudulent behavior in real-time.
  • How would you design a URL shortening service like bit.ly?
  • Explain the concept of eventual consistency and provide an example where it's applicable.
  • Describe a time you disagreed with a technical decision made by your team. How did you handle it?
  • Implement a function to find the k-th largest element in an unsorted array.
  • How would you design a notification system for a social media platform?
  • Tell me about a project where you had to optimize performance. What steps did you take?
  • What are the trade-offs between monolithic and microservices architectures?
  • How do you ensure the security of a distributed system?
  • Describe your experience with cloud infrastructure and deployment pipelines.

Locations

Regional differences.

Fig · Regions — 02 locations

01 / 02

Location

San Mateo, CA

Interview focus

Emphasis on practical application of distributed systems knowledge.Strong focus on cloud-native architectures and microservices.Assessment of leadership potential and ability to influence technical direction.Understanding of scalability challenges specific to high-growth tech environments.

Common questions

  • Discuss a challenging technical problem you solved at scale.
  • How do you approach designing a distributed system for real-time data processing?
  • Describe a time you had to mentor junior engineers. What was your approach?
  • What are your thoughts on the latest trends in cloud computing and their potential impact on our industry?

Tips

  • Be prepared to discuss specific cloud platforms (AWS, GCP, Azure) and their services.
  • Highlight experience with containerization (Docker, Kubernetes) and orchestration.
  • Showcase leadership and mentorship experiences with concrete examples.
  • Research Verkada's product offerings and identify potential technical challenges.

Rounds

Round-by-round.

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

Hard

Data Structures And Algorithms Interview · 60 min · Software Engineer / Senior Software Engineer

This round focuses on assessing your core computer science fundamentals. You will be asked to solve one or two coding problems, typically involving data structures and algorithms. The interviewer will evaluate your ability to understand the problem, devise an efficient solution, write clean code, and explain your thought process. Expect follow-up questions about optimizing your solution or handling different scenarios.

What they look for

Strong grasp of algorithms and data structures.Ability to translate requirements into working code.Clean and well-structured code.Logical thinking and systematic approach to problem-solving.

Evaluation

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

Sample questions

  • Given a binary tree, find the lowest common ancestor of two given nodes in the tree.

    Data StructuresAlgorithmsTreesRecursion
  • Implement a function to merge k sorted linked lists.

    Data StructuresAlgorithmsLinked ListsHeaps
  • Find the length of the longest substring without repeating characters.

    Data StructuresAlgorithmsStringsSliding Window

Prep for this round

  1. 01Practice coding problems on platforms like LeetCode (focus on Medium/Hard).
  2. 02Understand time and space complexity analysis (Big O notation).
  3. 03Be prepared to explain your code line by line.
  4. 04Practice thinking out loud and communicating your approach.

Common rejection reasons

  • ×Inability to articulate thought process clearly.
  • ×Lack of fundamental data structures and algorithms knowledge.
  • ×Poorly written or inefficient code.
  • ×Failure to consider edge cases or constraints.

DSA

Coding questions at Verkada.

Frequently reported on Verkada loops

Other guides

More at Verkada.