If you’re an owner, hiring manager, or anyone tasked with hiring software engineers, you’ve likely wondered at some point:

How can you tell whether the engineer you’re interviewing will be a high performer or a poor one?

Like many professions, software engineers can sometimes interview far better than they actually perform on the job. To avoid mis-hires and build stronger engineering teams, it’s critical to design a technical interview process that reveals true competence — not just confidence.

And it all starts with one thing: understanding and evaluating the fundamentals.

Great Engineers Master Fundamentals — and Use Them to Simplify

High-performing engineers deliver simple solutions to complex problems because they understand the core fundamentals deeply. Fundamentals are the building blocks of all engineering problem-solving, including:

  • Basic data structures
  • Algorithms
  • Logical reasoning
  • Architectural decision-making

When an engineer proposes a solution, a strong performer can clearly explain *why* it solves the problem and *how* it works under the hood. If they can’t articulate this, it’s a red flag — and you should test their understanding further with additional scenarios.

Good engineers simplify. Junior or lower-performing engineers complicate.

How High Performers vs. Junior Engineers Approach Problem-Solving

High-Performing Engineers:

  • Remove complexity whenever possible
  • Build only what is necessary to meet requirements
  • Use frameworks only when they add value
  • Create new tools only when existing tools fall short
  • Design efficient, minimal, elegant solutions

Less Experienced Engineers:

  • Over-engineer simple problems
  • Add unnecessary features no one will use
  • Create heavyweight systems for lightweight needs
  • Fail to simplify due to lack of fundamental understanding

This contrast alone will quickly reveal who you’re interviewing.

High Performers Know When They’re Losing Control

Another distinguishing trait of strong engineers is self-regulation. Great engineers think several steps ahead and mentally simulate the entire solution before building it.

High performers:

  • Understand the end goal clearly
  • Break down each step of the process
  • Recognize early when something feels off
  • Pause, evaluate, and seek peer feedback
  • Course-correct immediately

Lower-performing engineers:

  • Continue coding long after losing control of the problem
  • Fail to recognize when they’re stuck
  • Don’t fully understand the problem they’re solving
  • Create more issues the longer they work

This behavior is easy to identify in a well-structured technical interview.

Self-Awareness Is a Strong Indicator of Performance

Great engineers aren’t just technically competent — they’re also self-aware.

They can confidently and honestly describe:

  • Their strengths
  • Their weaknesses
  • Areas where they need support
  • Where they excel and where they struggle

Self-awareness demonstrates maturity, humility, and the ability to grow. These traits correlate strongly with long-term performance.

How to Recognize a Strong Performer in the Interview

When evaluating software engineers, look for these consistent patterns:

  • They design a plan before execution
  • They create simple solutions that work
  • They articulate how and why their solution is correct
  • They avoid guessing and rely on fundamentals
  • They understand the trade-offs behind their decisions
  • They engage deeply and ask thoughtful questions about the project
  • They demonstrate passion — often coding outside of work for fun

These signals point to someone who will perform well not only in the interview but also in the real world.

Final Thoughts

Great software engineers are effective, efficient, thoughtful, and grounded in fundamentals. They remove complexity, understand what they are building, recognize when they need help, and continuously refine their approach.

If you design your interview process around evaluating these traits, you will consistently identify high performers — and avoid costly mis-hires.

If you have any questions or need help refining your technical hiring process, feel free to connect with me on LinkedIn or send me an email.