Verizon Software Engineer candidates report assessments, communication stages, technical discussions, and HR or managerial conversations, with a recurring emphasis on explaining genuine project work and Java fundamentals.
$144K
Avg. Base Comp
$200K
Avg. Total Comp
5 rounds
Typical Rounds
Not reported
Process Length
Verizon Software Engineer interviews reported here vary by hiring channel and candidate background, but a consistent preparation theme is being able to explain work you have actually done. Several candidates describe technical conversations that begin with their résumé and projects, then probe the reasoning behind technology choices, debugging decisions, and implementation details. For Java-oriented roles, reported topics include core OOP, Spring Boot, microservices, and multithreading.
Some candidates encountered an online assessment before interviews. Its reported mix includes coding, aptitude or English sections, short writing, and AI-prompting tasks. Group discussions also appear in several accounts, while another candidate reports an HR screening before technical and managerial discussions. One candidate explicitly described five stages: assessment, group discussion, AI prompting, technical interview, and HR.
For the technical discussion, practice connecting fundamentals to your own projects: explain a design choice, how you investigated a production issue, and what trade-offs you made. Candidates also report DSA questions ranging from basic stack and linked-list operations to dynamic programming, arrays, and trees; DBMS and SQL joins appeared as well. A later HR or manager conversation may cover fit, relocation, behavioral examples, and why you are suited to the role. Reported paths differ, so treat the sequence as a set of recurring patterns rather than one fixed process.
Synthesized from 9 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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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 | |
| Total Salary | |
| Unlimited Plan Abuse | |
| 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 | |
| Find the Missing Number | |
| The Brackets Problem | |
| P-value to a Layman | |
| Address Schema | |
| Retailer Data Warehouse | |
| Employee Project Budgets | |
| Find the First Non-Repeating Character in a String | |
| Groups of Anagrams | |
| Average Quantity | |
| Find the Index with Equal Left and Right Sum |
Synthesized from candidate reports. Individual experiences may vary.
Candidates report online assessments with different mixes of coding, multiple-choice or aptitude questions, English or comprehension tasks, short writing, and AI-prompting exercises. Prepare to switch between concise written responses and timed problem solving; the exact sections appear to vary by hiring path.
Several candidates report a group discussion or English-debate stage after the assessment. Topics ranged from online delivery to technology-related prompts. Candidates describe this stage as testing clear, logical communication, although one candidate’s experience emphasized speaking clearly in English over the substance of ideas.
Some candidates report a separate prompt-writing round, while others encountered AI prompting within the assessment. Practice writing a clear prompt for a stated task and explaining your choices, but expect variation because this stage was not described in every candidate account.
Candidates report technical discussions focused heavily on their résumé, projects, Java, Spring Boot, OOP, DSA, DBMS, SQL joins, web development, microservices, and practical scenarios such as idempotency. Be ready to reason through your own project decisions and answer follow-up questions on technologies you list.
Candidates report a final HR, managerial, or blended techno-managerial conversation. Reported prompts include background, fit, relocation, hobbies, and a difficult technical situation. Some manager conversations were primarily behavioral rather than coding-focused.
