Software Developer Skills Interview

A Software Developer interview assessing key skills required for success. We've also included a few motivation and values questions to help you make the best decisions about your candidates.

Clock, Time
30
min
Briefcase, work, skills
skill-based
Document, Questions
6
questions

Focus area:

Communication
Machine Learning
Algorithm Analysis

Question

1

Tell me about a time you struggled to modify some pre-existing code that was being used in a production environment. What challenge(s) did you face and what would you do to avoid these challenges when your code is modified 10 years from today?

Algorithm Analysis
Clock, Time
5
min

What does this question reveal?

Candidate has the ability to write maintainable code

Explore tips

  • Code should be written for the reader more than the writer of the code
  • Exhibits understanding of "Clean Code"
  • Comments can easily mislead or become out of sync of the code it documents
  • Coding to interfaces increases testability
  • Manual testing ensures code works when written, test cases ensure code works into the future
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Question

2

Tell me about a time when a programming language feature was over-used. What was the feature, and when do you think it would be best applied?

Algorithm Analysis
Clock, Time
5
min

What does this question reveal?

Candidate has the ability to select the correct programming tool for the job

Explore tips

  • Should focus on a feature of the candidate's language of choice
  • Should not include general best practice tools like unit testing
  • Explains disadvantages of using the feature all the time
  • Explains disadvantages of never using the feature
  • Recognizes circumstances the feature is useful vs. harmful
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Question

3

Imagine a scenario where an algorithm with a slower asymptotic runtime than another known solution is implemented. Why might a slower algorithm be preferable in some cases?

Machine Learning
Clock, Time
5
min

What does this question reveal?

Candidate has the ability to recognize and act on algorithmic trade-offs

Explore tips

  • Describes resources could be at play when an algorithm runs
  • Explains how speed can be traded for memory
  • References minimizing use of some specific resource (e.g. API calls)
  • Discusses how they would make a decision about such a tradeoff
  • Mentions that a larger asymptotic runtime can be faster if the problem size is bounded
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Question

4

Imagine you are implementing a set where you can add elements and check their membership (if they are currently in the set or not). If you were to delegate to a linked list or a hash table, which would you choose and why?

Machine Learning
Clock, Time
5
min

What does this question reveal?

Candidate has the ability to select efficient solutions, and common algorithmic analysis

Explore tips

  • Linked list is O(1) add, O(n) membership vs. Hash table is O(1) (amortized) add, O(1) (amortized) membership
  • Explains what 'amortized' means
  • Explains the worst-case runtimes of the hash table operations
  • Highlights the worst-case hash table operations be acceptable
  • Discusses difference between an 'amortized' runtime and an 'expected' one?
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Question

5

Briefly tell me about a time when you received or provided particularly poor feedback during code review for a piece of code that did require improvement. Why was the feedback unhelpful?

Communication
Clock, Time
5
min

What does this question reveal?

Candidate has the ability to recognize poor and great code review feedback

Explore tips

  • Mentions aspects of the feedback made it difficult to action
  • Discusses how the feedback could have been improved
  • References specific examples of miscommunication or misunderstandings
  • Describes how the situation was resolved
  • Shares how this experience guides them in providing others better feedback
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Question

6

Describe what readable code is to you. What aspects do you find the most important when writing code to make it readable to others?

Communication
Clock, Time
5
min

What does this question reveal?

Candidate recognizes importance of clean code

Explore tips

  • Mentions topics like cognitive complexity, naming of functions, formatting, etc.
  • Understands that code is more often read not written
  • Describes and exhibits understanding of 'Clean Code'
  • Explains problems with reading convoluted code
  • Discusses business value do gained by having clean code
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