Scale Engineer

Software Engineer

Software EngineerL6Hard

The Software Engineer L6 interview at Axon is a comprehensive process designed to assess a candidate's technical expertise, problem-solving abilities, system design skills, and cultural fit. It typically involves multiple rounds, including technical interviews, a system design interview, and a behavioral interview, often with senior engineers and hiring managers.

Rounds·3

Timeline·~14d

Experience·5 - 10 yrs

Comp band·US$140000 - US$180000

Interview time·150 min

Evaluation

What they measure.

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

Preparation

How to prepare.

Tips

  1. Review fundamental computer science concepts, including data structures and algorithms.
  2. Practice coding problems on platforms like LeetCode, HackerRank, or AlgoExpert, focusing on medium to hard difficulty.
  3. Study system design principles and common architectural patterns.
  4. Prepare for behavioral questions by using the STAR method (Situation, Task, Action, Result) to structure your answers.
  5. Research Axon's products, mission, and values to understand how your skills and experience align.
  6. Understand the technologies commonly used at Axon, such as cloud platforms (AWS, Azure), containerization (Docker, Kubernetes), and programming languages (Java, Python, Go).
  7. Prepare questions to ask the interviewers about the role, team, and company culture.

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. Solve 2-3 problems daily.

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. Solve 2-3 problems per day.

Questions

Commonly asked.

  • Design a system to handle real-time notifications for a large user base.
  • Given a large dataset of user activity logs, how would you identify the most active users?
  • Explain the CAP theorem and its implications for distributed systems.
  • Describe a time you had to deal with a production outage. What was your role, and what did you learn?
  • How would you design an API for a ride-sharing service?
  • Write a function to find the k-th largest element in an unsorted array.
  • What are the trade-offs between SQL and NoSQL databases for a specific use case?
  • How do you approach code reviews to ensure quality and knowledge sharing?
  • Tell me about a time you disagreed with a technical decision made by your manager or team lead.
  • How do you stay updated with new technologies and industry best practices?

Locations

Regional differences.

Fig · Regions — 02 locations

01 / 02

Location

Seattle

Interview focus

Deep dive into distributed systems and cloud-native architectures.Emphasis on leadership and mentorship capabilities.Understanding of specific technology stacks relevant to the local office's projects (e.g., AWS, Kubernetes, specific programming languages).

Common questions

  • Discuss a challenging project you led.
  • How do you handle technical disagreements within a team?
  • Describe a time you had to mentor junior engineers.
  • What are your thoughts on the latest trends in cloud computing?
  • How do you approach performance optimization in large-scale systems?

Tips

  • Research the specific technologies used by the Axon office you are interviewing with.
  • Prepare examples demonstrating leadership and mentoring experience.
  • 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.

DSA

Coding questions at Axon.

Frequently reported on Axon loops

View all at Axon

Other guides

More at Axon.