Hiring · July 19, 2026 · 8 min read

How to hire a software engineer: a step-by-step guide

Hiring engineers on résumés and whiteboard trivia is how you miss great ones and hire the wrong ones. A practical, skills-first process — from scoping the role to a fair final decision.

← Part of The five pillars of a hire: what great assessments actually measure

Engineering hiring has a signal problem. Résumés are noisy, referrals are narrow, and the classic whiteboard puzzle mostly measures whether someone drilled the puzzle. A skills-first process fixes it — test the work the role actually involves, at the level it actually needs.

1. Scope the role before you screen

Decide what this engineer will really do and at what level — a junior shipping features is not a staff engineer setting architecture. Write it down as outcomes (how to write a job description); it dictates everything downstream.

2. Screen on skills, not pedigree

Put a short, job-relevant skills check before the résumé review. It widens the funnel to self-taught and non-traditional engineers who can do the work, and narrows it against the polished CV with a thin skill set (skills-based hiring).

3. Assess the real work, calibrated to level

Favour realistic tasks — reading and fixing code, and system-design discussion for seniors — over abstract algorithm trivia. What changes with seniority is not whether code appears but what it asks: predict-and-fix at entry, critique-the-design at senior. Weight domain skill heavily for juniors and shift toward judgement for seniors, following the five-pillar model.

4. Don't ignore how they work with AI

By 2026 most engineers work alongside AI tools daily. Whether a candidate uses them with judgement — verifying output, knowing when not to trust it — is now part of the job, not a bonus. See AI fluency as a hiring signal and the applied version, the AI Sandbox.

5. Keep it fair and fast

Score every candidate on the same rubric, keep the assessment humane in length to protect completion, and monitor outcomes for adverse impact. Speed matters too — good engineers have other offers, so a process that moves quickly wins more of them.

Hire engineers on evidence, not résumés: test the real work at the right level, include how they work with AI, and keep the whole thing fair and fast.