Akamai Software Engineer interview typically runs 3-4 rounds: resume screening, online assessment, technical interviews, and a manager round. The process usually takes a few weeks and is fairly straightforward, with broad systems and coding focus.
$103K
Avg. Base Comp
$184K
Avg. Total Comp
3-5
Typical Rounds
2-4 weeks
Process Length
Our candidates report a very consistent signal at Akamai: the team cares less about flashy algorithms and more about whether you can think like someone who lives close to the stack. Across experiences, the recurring themes were Linux, networking, OS fundamentals, and practical Python. Even when the questions started with coding, they quickly moved into how the code would behave in a real environment, or why a system would fail. One candidate described the technical conversations as “less about tricky DSA,” while another said the screening emphasized whether they actually knew Python and Linux rather than just recognizing interview patterns.
Akamai also seems to value candidates who can explain their work without hand-waving. Multiple candidates mentioned project deep-dives that were conversational but still technical, and the strongest responses were the ones that connected past work to concrete implementation details. We’ve also seen a clear preference for people who can reason through server behavior, TCP vs. UDP, CPU/OS behavior, and edge cases under pressure. The matrix problem and the LRU-style question point to the same pattern: they want solid fundamentals, but they care just as much about how you approach a problem when the constraints get messy.
The non-obvious make-or-break factor here is depth of understanding, not breadth of memorized topics. Candidates who treated the process like a generic coding interview seemed to struggle once the conversation shifted into systems reasoning. The interviews that felt toughest were the ones where the interviewer pushed beyond surface-level answers and asked follow-ups on how a process works, how a service should be structured, or why a particular implementation choice makes sense. In short, Akamai rewards engineers who can move comfortably between code, infrastructure, and explanation.
Synthesized from 4 candidate reports by our editorial team.
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Real interview reports from people who went through the Akamai process.
The interview process consisted of multiple technical rounds covering Java, Spring Boot, SQL, REST APIs, and data structures. The interviewers focused more on problem solving and explaining design decisions than memorized answers. I was comfortable with the Java and Spring Boot discussions but needed more time on one DSA problem involving graphs.
Questions asked: The technical questions covered Java OOP concepts, Collections, multithreading, exception handling, JVM basics, and Spring Boot annotations such as @Transactional, dependency injection, and REST APIs. I was asked to write SQL queries involving joins and aggregations, explain indexing, and solve a coding problem using arrays and hash maps. There were also follow-up questions on time and space complexity, edge cases, and how I would optimize my solution. The interviewer also discussed a previous project from my resume and asked about my design decisions, challenges faced, and how I handled production issues.
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Sourced from candidate reports and verified by our team.
Topics based on recent interview experiences.
Featured question at Akamai
Given two sorted lists, write a function to merge them into one sorted list.
| Question | |
|---|---|
| Hurdles In Data Projects | |
| Target Indices | |
| Portfolio Platform Architecture | |
| Skyscanner Partner ETL | |
| Seller Type Modeling | |
| Three Indexes Adding Zero | |
| Blob Indexing | |
| Text Editor With OOP | |
| LRU Cache 1 | |
| Weighted Keys | |
| Longest Increasing Subsequence | |
| Flatten N-Dimensional Array to 1D Array | |
| Complete Addresses | |
| Centralized Event Ingestion | |
| Common Prefix | |
| Count Transactions | |
| Second Longest Flight | |
| Stranded Capacity | |
| Client Solution Pushback | |
| Decreasing Payments | |
| Your Strengths and Weaknesses | |
| 2nd Highest Salary | |
| Employee Salaries | |
| Closest SAT Scores | |
| Empty Neighborhoods | |
| Subscription Overlap | |
| Top Three Salaries | |
| Rolling Bank Transactions | |
| Customer Orders |
Synthesized from candidate reports. Individual experiences may vary.
The process often starts with a resume review or recruiter screen to assess fit for the role. Candidates who move forward are typically selected based on experience with Python, Linux, networking, OS fundamentals, and related systems work.
Some candidates receive a HackerRank-style MCQ assessment covering DSA, Linux, networking, operating systems, and DBMS. The test is broad and is used to confirm core technical fundamentals before live interviews.
This round usually focuses on live coding and practical technical questions in Python, SQL, Linux, and networking. Candidates may be asked to solve an array or matrix problem, write a SQL query, answer Linux command questions, and walk through projects from their resume.
In some loops, a second technical round goes deeper into systems topics rather than tricky algorithms. Questions can include Linux internals, networking, OS behavior, server logic, or a system design prompt such as designing a food aggregator service.
The manager interview is often conversational but still technical, with emphasis on resume depth, project discussion, collaboration, and fundamentals. Candidates reported questions on operating systems, networking, CPU/process behavior, code reviews, and how they work with teams.