Software Engineer

Software EngineerSenior Software Engineer 1Hard

This interview process is designed to assess candidates for a Senior Software Engineer 1 position at Akamai. It evaluates technical proficiency, problem-solving skills, system design capabilities, and cultural fit.

Rounds·4

Timeline·~14d

Experience·5 - 10 yrs

Comp band·US$140000 - US$180000

Interview time·180 min

Evaluation

What they measure.

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

Preparation

How to prepare.

Tips

  1. Thoroughly review fundamental computer science concepts, including data structures and algorithms.
  2. Practice coding problems on platforms like LeetCode, HackerRank, focusing on medium to hard difficulty.
  3. Study system design principles, common architectural patterns, and trade-offs.
  4. Prepare to discuss your past projects in detail, highlighting your contributions and technical challenges.
  5. Research Akamai's products, services, and company culture.
  6. Prepare behavioral questions using the STAR method (Situation, Task, Action, Result).
  7. Understand distributed systems concepts, concurrency, and scalability.
  8. Brush up on your chosen programming language's advanced features and best practices.
  9. Be ready to discuss your experience with cloud technologies and CI/CD pipelines.
  10. Practice explaining your thought process clearly and concisely, especially for system design and problem-solving.

Study plan

Fig · Study plan — 04 phases

01 / 04
01

Phase 01 of 04

Data Structures and Algorithms

Weeks 1-2: DSA fundamentals and practice (2-3 problems/day).

Weeks 1-2: Focus on Data Structures and Algorithms. Cover arrays, linked lists, trees, graphs, hash tables, heaps, sorting, searching, dynamic programming, and greedy algorithms. Practice implementing these and analyzing their time and space complexity. Aim for 2-3 problems per day.

Questions

Commonly asked.

  • Design a URL shortening service like bit.ly.
  • How would you design a distributed cache?
  • Explain the difference between ACID and BASE properties.
  • Describe a time you had to deal with a production outage.
  • What are the challenges of building a real-time notification system?
  • How do you optimize database performance?
  • Tell me about a project you are particularly proud of and why.
  • How would you implement a rate limiter?
  • What is eventual consistency?
  • Describe your experience with containerization technologies like Docker and Kubernetes.

Locations

Regional differences.

Fig · Regions — 03 locations

01 / 03

Location

USA

Interview focus

Deep dive into distributed systems and cloud-native technologies.Emphasis on leadership and mentoring capabilities.Understanding of Akamai's specific product areas and challenges.

Common questions

  • Describe a complex technical challenge you faced and how you overcame it.
  • How do you approach designing a scalable and reliable distributed system?
  • Tell me about a time you had to mentor junior engineers. What was your approach?
  • What are your thoughts on microservices vs. monolithic architectures?
  • How do you ensure code quality and maintainability in a large codebase?

Tips

  • Research Akamai's recent product launches and technical blogs.
  • Be prepared to discuss your contributions to open-source projects if applicable.
  • Highlight experience with large-scale, high-traffic systems.
  • Practice explaining complex technical concepts clearly and concisely.

Rounds

Round-by-round.

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

Hard

Data Structures And Algorithms Interview · 45 min · Software Engineer / Senior Software Engineer

This round focuses on assessing your core technical skills through coding challenges. You will be asked to solve one or two algorithmic problems, typically involving data structures. The interviewer will evaluate your ability to write clean, efficient, and correct code, as well as your approach to problem-solving and debugging.

What they look for

Strong problem-solving skills.Proficiency in coding.Ability to think critically and break down complex problems.Clear communication of approach.

Evaluation

  • Correctness of the solution
  • Efficiency of the solution (time and space complexity)
  • Code readability and maintainability
  • Ability to handle edge cases and errors
  • Communication of the thought process

Sample questions

  • Given an array of integers, find the contiguous subarray with the largest sum.

    ArrayDynamic Programming
  • Implement a function to reverse a linked list.

    Linked ListPointers
  • Find the k-th smallest element in a binary search tree.

    TreeBinary Search TreeRecursion

Prep for this round

  1. 01Practice coding on a whiteboard or a shared editor.
  2. 02Think out loud and explain your approach before coding.
  3. 03Test your code with various inputs, including edge cases.
  4. 04Be prepared to discuss time and space complexity.

Common rejection reasons

  • ×Inability to articulate thought process clearly.
  • ×Poor understanding of fundamental data structures and algorithms.
  • ×Inefficient or incorrect code implementation.
  • ×Lack of attention to edge cases and error handling.

DSA

Coding questions at Akamai.

Frequently reported on Akamai loops

Other guides

More at Akamai.