Why Your Next Best Engineer Might Never Have a CS Degree
The Credential Assumption
There's a deeply ingrained assumption in tech hiring: a CS degree from a reputable university signals competence. It's a heuristic that made sense when information was scarce and self-teaching was hard.
But that world no longer exists.
The Information Has Changed
Today, anyone with internet access and genuine curiosity can:
- Complete MIT OpenCourseWare's full CS curriculum for free
- Contribute to open-source projects used by millions
- Build and deploy production-grade applications independently
- Earn verifiable certifications from AWS, Google, and other industry leaders
The tools to become an exceptional engineer have never been more accessible. The only thing that hasn't caught up is how companies evaluate that learning.
What Actually Predicts Engineering Success
Based on our experience placing hundreds of engineers across startups and enterprises, the strongest predictors of long-term performance are:
1. Evidence of shipped work A GitHub profile with real contributions, a live side project, or a portfolio of past deliverables tells you far more than any transcript.
2. Problem-solving approach How someone thinks through an unfamiliar problem — do they break it down systematically? Do they ask the right clarifying questions? — predicts performance better than algorithm memorization.
3. Communication quality Engineering is collaborative. The ability to explain technical decisions clearly, write good documentation, and push back constructively on bad ideas are skills that multiply every other capability.
4. Learning trajectory Not where someone is today, but the slope of their growth. A self-taught engineer who has mastered three major paradigm shifts in five years is more valuable than one who has applied the same skills repeatedly.
What This Means for Hiring
Drop degree requirements as a filter. Use them as one signal among many, not as a gate.
Invest in evaluation processes that surface real capability. Skills-based assessments, paid trial projects, and portfolio reviews are all more predictive than whiteboard interviews.
At Majority7, we evaluate every candidate on what they've built and how they think — not where they studied. The results speak for themselves.