Candidates describe Verizon Software Engineer interviews as resume-driven, with Java and CS fundamentals, project deep dives, and behavioral questions. Some campus-style loops add a group discussion and an AI-prompting exercise.
$110K
Avg. Base Comp
$130K
Avg. Total Comp
3-5 rounds
Typical Rounds
2-3 months
Process Length
Across the reports for Verizon Software Engineer interviews, the most repeated theme is the resume project deep dive. Many candidates say interviewers asked them to explain what they built, why they chose a given stack, and what they personally did. Some describe tricky follow-ups on anything listed on the resume.
Technical difficulty is usually described as easy to medium. Java comes up often: OOP pillars, HashMap internals, garbage collection, process versus thread, Spring Boot, microservices and multithreading. Other candidates report DBMS and SQL joins, arrays, trees, linked lists, stacks and queues, a palindrome check, and one dynamic programming problem. One candidate reported system-design-style questions such as handling an idempotency key.
Several candidates, mostly in campus-style loops, describe an online assessment followed by a group discussion, a separate AI-prompting round, a technical interview and HR. The AI-prompting round and a question about using GPTs effectively appear in a few reports, so practice writing a clear prompt. Behavioral questions also appear, including a difficult technical situation, a missed deadline and a time you got something wrong. Prepare STAR-style stories.
Process pace varies widely, and reports conflict. One candidate said it wrapped up within a couple of days, while others described months, and one waited weeks without an update. Keep other applications moving and follow up with the recruiter directly.
Synthesized from 19 candidate reports by our editorial team.
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Real interview reports from people who went through the Verizon process.
I went through Verizon's interview process after connecting with them at a campus career fair. The whole thing started with a phone screen where they asked standard questions like telling them about myself, which was pretty straightforward. After that, I had an in-person round at the university where everything felt relaxed — the recruiters were communicative and easy to talk to, which helped calm my nerves.
The in-person day consisted of multiple rounds. First came a DSA and MCQ section that tested my problem-solving and conceptual knowledge. Then we moved into a group discussion, which was interesting because it let me see how I worked with other candidates. The technical interview followed, diving deeper into coding and system design concepts. I made sure to come prepared with solid STAR scenarios since I knew behavioral questions would come up — they asked things like telling them about a time I had to be flexible, so having concrete examples from my projects was crucial. The final round was an HR conversation that wrapped things up. Overall, the process felt thorough but fair, and the interviewers gave me good signals about the company culture and what they were looking for.
Prep tip from this candidate
Prepare at least 5 detailed STAR scenarios before your interview — behavioral questions are a significant part of their process. Also brush up on DSA fundamentals and MCQ-style conceptual questions, as those are tested early in their on-campus interview loops.
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Sourced from candidate reports and verified by our team.
Topics based on recent interview experiences.
Featured question at Verizon
Select the 2nd highest salary in the engineering department
| Question | |
|---|---|
| Prime to N | |
| Bagging vs Boosting | |
| Size of Joins | |
| Google Maps Improvement | |
| Sort Strings | |
| Hurdles In Data Projects | |
| Unlimited Plan Abuse | |
| Total Salary | |
| Total Transactions | |
| Recency Weighted Salaries | |
| String Palindromes | |
| Deciding Between Solutions | |
| Testing Constraints | |
| Client Solution Pushback | |
| Stakeholder Communication | |
| Why Do You Want to Work With Us | |
| Your Strengths and Weaknesses | |
| Merge Sorted Lists | |
| Over-Budget Projects | |
| The Brackets Problem | |
| Find the Missing Number | |
| P-value to a Layman | |
| Address Schema | |
| Retailer Data Warehouse | |
| Employee Project Budgets | |
| Find the First Non-Repeating Character in a String | |
| Find the Index with Equal Left and Right Sum | |
| Average Quantity | |
| Groups of Anagrams |
Synthesized from candidate reports. Individual experiences may vary.
Candidates report an introductory conversation covering background, your most technical project and your role in it, and sometimes behavioral prompts. One candidate heard from a recruiter within days of applying. Prepare a concise self-introduction and a clear project summary.
Several candidates report an online assessment. Contents vary: easy-to-medium coding, a string problem, OOP basics, aptitude, English, and in some campus-style loops an AI-prompting section. It is typically timed, so practice moving quickly between question types.
In campus-style loops, candidates describe a group discussion on an assigned topic, judged mainly on clear communication rather than depth of ideas. Some also report a separate prompt-writing round, one described as non-eliminatory. This stage may not apply to every hiring path.
Candidates report technical rounds centered on resume projects, Java and Spring Boot, OOP, data structures, SQL and DBMS, and sometimes React or OS concepts. Difficulty is generally reported as easy to medium, though some interviewers push with follow-ups. Be ready to justify every project decision.
Final conversations are described as behavioral and managerial, covering teamwork, a difficult situation or failure, strengths and weaknesses, relocation and the role itself. Prepare STAR examples. Timing after this stage varies, and some candidates report long waits for updates.
