What to look for in a Software Engineer beyond the resume
Most startup hiring processes begin with the same artifacts: a resume, a list of technologies, and a handful of previous roles.
And yet, many hires still fail.
The issue is rarely a lack of technical ability. It’s that resumes are a weak signal for what startups actually need. In environments defined by ambiguity, speed, and ownership, impact depends on qualities that are difficult to compress into bullet points.
This article explores what really matters when evaluating engineers for startups — beyond what fits on a CV.
Startups Don’t Need Roles — They Need Judgment
In established organizations, roles exist to reduce uncertainty. Scope is clear. Decisions are layered.
Startups operate differently.
Engineers constantly make decisions with incomplete information: choosing trade-offs, defining boundaries, deciding what not to build. In these moments, judgment matters more than familiarity with any specific tool or framework.
Judgment is what allows progress when there is no obvious right answer — and it almost never appears on a resume.
Look at What They Tried to Build
One of the strongest signals of startup readiness is whether someone has attempted to build something on their own.
This doesn’t mean every project needs to be successful. In fact, failed products and abandoned ideas often teach more than polished outcomes. What matters is the exposure to real constraints, unclear requirements, and actual consequences.
Engineers who have tried to create products, services, internal tools, or startups develop a different perspective. They’ve had to make decisions without guarantees, balance idealism with pragmatism, and live with trade-offs.
That experience shapes how they operate inside a startup.
Depth Creates Leverage
Many resumes emphasize breadth: long lists of tools, frameworks, and platforms.
Startups benefit more from depth.
Depth allows engineers to reason about systems, adapt when assumptions break, and navigate unfamiliar problems without needing constant guidance. When timelines are tight and context shifts quickly, understanding why something works becomes far more valuable than knowing what to use.
This is often the difference between engineers who follow patterns and those who create them.
Independence Is Built, Not Claimed
Early-stage teams rarely offer perfect specs or clear answers.
Engineers who thrive in startups are comfortable operating without guardrails. They move work forward proactively, take ownership naturally, and don’t wait for certainty before acting.
This level of independence is not a personality trait. It’s usually built through experience — by creating things from scratch, making mistakes, and learning in environments where responsibility is real.
Communication Multiplies Impact
Strong engineers don’t just write good code. They reduce complexity for everyone around them.
In startups, the ability to explain trade-offs, surface risks early, and communicate clearly with non-technical teammates accelerates alignment and prevents costly missteps.
Good communication is not separate from technical skill — it’s part of it.
How We Approach This at Netzer
This way of thinking is central to how we approach staffing at Netzer.
We don’t optimize for resumes or keyword matching. Instead, we focus on engineers who have demonstrated real independence, ownership, and judgment through what they’ve actually built.
Within our network, we work with engineers who have gone far beyond typical side projects — including people who have created browsers, designed low-level programming languages, and built complex systems from the ground up. These profiles are not common, but they are a natural outcome of our emphasis on depth, autonomy, and real-world problem solving.
Our goal is simple: help startups work with engineers who can operate effectively in uncertainty and add value without heavy oversight.
If this approach resonates with how you think about building your team, you can learn more about how we work here.
Final Thought
Hiring for startups is not about checking boxes.
It’s about recognizing signals that predict impact when the path forward is unclear. Looking beyond resumes — at what engineers have tried to build, how they think, and how they operate — leads to better decisions.
And in startups, those decisions compound faster than almost anything else.
