If you are preparing for a software engineering internship interview, expect questions about programming fundamentals, problem-solving, Git, databases, APIs, debugging and the projects you have built.
You may also get behavioural questions about teamwork, learning and how you respond when something goes wrong. The goal is not to prove that you already work like a senior engineer.
You need to show that you understand the basics, can explain your thinking and are ready to learn in a professional software team.
What should you expect in a software engineering internship interview?
Most interviews combine technical questions, project discussions and behavioural questions.
You may be asked to:
- Explain programming concepts
- Solve a coding problem
- Discuss a personal or university project
- Explain how Git works
- Answer database or API questions
- Debug a simple problem
- Describe how you work in a team
- Explain how you learn new technologies
Some employers also use an online coding assessment before the interview.
The exact mix depends on the role. A backend internship may focus more on APIs and databases, while a frontend role may focus more on JavaScript, browser behaviour and user interfaces.
Why do you want to become a software engineer?
Give an answer that connects your interest in technology to the kind of work you enjoy.
A weak answer is:
I like computers and coding.
A stronger answer explains what draws you to software development.
You could talk about enjoying problem-solving, building useful applications, understanding how systems work or turning an idea into something people can use.
Keep the answer personal and specific.
Why do you want this internship?
Show that you understand the company and the role.
You can mention:
- The type of software the company builds
- The technology stack
- The industry it operates in
- The opportunity to work with experienced engineers
- The kind of projects you want exposure to
Avoid answers that could apply to any employer.
The interviewer should be able to see that you chose the role for a reason.
What programming language are you strongest in?
Choose the language you know best and explain what you have used it for.
You might say that Python is your strongest language because you used it for data processing, automation or backend development.
Or you may prefer Java, JavaScript, C#, C++ or another language.
Do not claim several languages at the same level if that is not true. The interviewer may ask follow-up questions, so choose a language you can discuss confidently.
What is object-oriented programming?
Object-oriented programming is a way of organising software around objects that contain data and behaviour.
You should understand concepts such as:
- Classes
- Objects
- Encapsulation
- Inheritance
- Polymorphism
You do not need to give a textbook definition.
Explain the idea in simple language and use an example if you can.
For instance, a BankAccount class could contain information such as the account balance and methods for deposits or withdrawals.
What is the difference between a list and a dictionary?
A list stores items in an ordered sequence, while a dictionary stores values using keys.
The exact terminology depends on the programming language.
In Python, for example, a list can contain a sequence of values, while a dictionary lets you retrieve information using a key.
You should understand when each structure is useful rather than only memorising the definition.
What is an API?
An API allows different software systems to communicate with each other.
A web application might use an API to retrieve weather information, process a payment or send information to another service.
You should understand basic concepts such as:
- Requests
- Responses
- HTTP methods
- JSON
- Status codes
For entry-level interviews, you usually do not need deep API architecture knowledge unless the role specifically focuses on backend development.
What is the difference between GET and POST?
GET is generally used to retrieve information, while POST is commonly used to send new information to a server.
For example, a GET request could retrieve a user’s profile.
A POST request could create a new user account. You may also be asked about methods such as PUT, PATCH and DELETE.
Understanding the purpose of common HTTP methods is useful for web and backend development interviews.
What is a database?
A database stores and organises information so applications can retrieve and update it.
You should understand basic relational database concepts such as:
- Tables
- Rows
- Columns
- Primary keys
- Foreign keys
- Relationships
You may also be asked basic SQL questions.
For many software engineering internships, understanding how applications store information is more important than advanced database administration.
What is a SQL JOIN?
A JOIN combines related information from two or more database tables.
For example, one table could contain customers and another could contain orders.
A JOIN can connect those tables so you can see which orders belong to each customer.
You should understand basic INNER JOIN and LEFT JOIN concepts if SQL appears in the job description.
What is Git and why is it used?
Git is a version control system that helps developers track changes to code and collaborate safely.
You should understand common Git concepts such as:
- Repository
- Commit
- Branch
- Merge
- Pull
- Push
- Conflict
You may also work with platforms such as GitHub, GitLab or Bitbucket.
The employer may ask how you would work on a new feature without changing the main codebase directly. A common answer would involve creating a separate branch.
What happens when there is a merge conflict?
A merge conflict happens when Git cannot automatically combine changes.
You need to review the conflicting sections, decide which changes should be kept and then complete the merge.
Do not make it sound more complicated than it is. If you have resolved a merge conflict before, explain the situation briefly and what you did.
How do you debug code?
Start by understanding what the code is supposed to do and where the result starts going wrong.
You can then:
- Read the error message
- Reproduce the problem
- Check inputs and outputs
- Add logging or breakpoints
- Isolate the failing section
- Test possible fixes
- Confirm that the solution did not create another problem
A good answer shows that you debug methodically rather than randomly changing code until it works.
What should you do if your code does not work during the interview?
Stay calm and explain what you are checking. If your first solution fails, read the error and work through the problem step by step.
You can say what you think is wrong and test that assumption. Interviewers often pay attention to how you respond when you are stuck.
A candidate who can reason through a problem can still make a good impression even without reaching the perfect answer.
How do you approach a coding problem?
Start by clarifying the problem before you write code.
A useful process is:
- Restate the problem.
- Identify the inputs and expected output.
- Consider edge cases.
- Explain your approach.
- Write the solution.
- Test it.
- Discuss improvements if necessary.
This makes your thinking easier for the interviewer to follow.
What is an algorithm?
An algorithm is a set of steps used to solve a problem.
In an interview, you may be asked to create an algorithm for tasks such as sorting data, searching for a value or processing a list.
You should be able to explain your approach clearly before writing code.
For internship interviews, simple, correct solutions are often more useful than trying to show off with unnecessary complexity.
What is Big O notation?
Big O notation describes how the amount of work an algorithm performs changes as the input grows.
You may encounter examples such as:
- O(1)
- O(n)
- O(n log n)
- O(n²)
You do not need advanced algorithm analysis for every internship, but understanding the basic idea can help with technical interviews.
For example, searching every item in a list is usually O(n) because the amount of work can grow with the size of the list.
Tell me about a project you built
Choose a project you understand well.
Explain:
- What you built
- What problem it solved
- Which technologies you used
- What you personally worked on
- What went wrong
- What you learned
- What you would improve
Do not spend most of the answer describing the project’s features.
Interviewers are often more interested in the decisions you made and how you solved technical problems.
What if you only have university projects?
University projects are valid examples.
Use them to show that you can write code, work with other people, meet deadlines and solve technical problems.
Be clear about your own contribution if it was a group project.
Avoid saying “we did everything” when the interviewer is trying to understand what you personally handled.
Tell me about a difficult technical problem you solved
Choose a real example where you had to investigate, test and eventually fix something.
Explain what made the problem difficult and how you worked through it. Your answer does not need to involve an advanced system.
Even a difficult bug in a student project can demonstrate persistence and logical thinking if you explain it well.
How do you work in a team?
Use a real example from a project, university assignment, hackathon or previous work.
Explain how you communicated, divided responsibilities and handled disagreements.
Software development involves code reviews, shared repositories and collaboration with people in different roles.
Employers want to know whether you can contribute without making teamwork unnecessarily difficult.
How do you respond to code review feedback?
Show that you see code review as part of improving the software.
You should be willing to understand the feedback, ask questions when something is unclear and change your code when the suggestion improves it.
You do not have to agree automatically with every comment.
Professional collaboration includes discussing different approaches respectfully.
What do you do when you do not know something?
Explain how you would investigate before asking for help.
You might:
- Read the error message
- Check official documentation
- Review existing code
- Test a smaller example
- Search for reliable technical information
- Ask a teammate after doing some initial investigation
Employers do not expect interns to know everything.
They want to see that you can learn without becoming stuck indefinitely.
Should you mention AI coding tools?
You can mention AI-assisted development tools if you actually use them, but be clear that you verify the output.
You should still understand the code you submit.
An interviewer may ask you to explain code without access to AI tools, so relying on generated solutions without understanding them can quickly become obvious.
Treat AI as a tool that supports your work, not as a substitute for programming knowledge.
What questions should you ask the interviewer?
Ask questions that help you understand how the engineering team works.
Useful questions include:
- Which technologies does the team use?
- What kind of projects would I work on?
- How are interns mentored?
- How does the team handle code reviews?
- How often is software deployed?
- Would I work with cloud platforms?
- What skills do successful interns usually develop?
- Are interns considered for graduate or permanent roles?
These questions can help you evaluate the opportunity as well as show genuine interest.
How should you prepare before the interview?
Review the job description and concentrate on the technologies mentioned there.
Practise a few coding problems, revise your core programming concepts and make sure you can explain your strongest projects clearly.
You should also review Git, databases and APIs if they are relevant to the role.
Do not spend the night before the interview trying to learn an entirely new programming language.
Strong fundamentals, clear thinking and a good understanding of your own work will usually help you more than last-minute memorisation.
What should you focus on most?
Focus on being able to explain what you know and demonstrate how you solve problems.
You should know your strongest programming language, understand your projects and be comfortable with basic software engineering concepts such as Git, databases, APIs and debugging.
If you do not know an answer, explain how you would work toward it.
A strong internship candidate does not need to know everything. You need to show enough technical foundation, curiosity and problem-solving ability for the employer to see that you can grow into the role.
