ATS Resume & Career Optimization Blog
Guias practicas sobre filtrado ATS, calidad de CV y optimizacion por puesto.
Los articulos del blog estan disponibles por ahora solo en ingles.
Healthcare ATS screening depends on licenses, certifications, and system keywords showing up in plain text. Inline numbers and acronyms alone are too fragile.
iCIMS behavior changes with configuration, which is exactly why generic ATS advice misses the real failure points around dates and certifications.
Greenhouse is stricter than Lever, but most people still need one cleaner resume, not two separate templates built for each platform.
Freelance history looks unstable when contracts are listed as separate employers. Group the work so ATS sees one clear timeline instead of six short gigs.
Title matching carries outsized ATS weight. A strong candidate can still rank low when the resume headline never bridges the vocabulary gap.
ATS sees dates and titles, not your restructuring story. Frame layoffs for humans without creating unnecessary gap signals for machines.
Keyword density on resumes is measurable, not mystical. Count exact appearances against total words before repetition turns into stuffing.
Tables fail because parsers read cells in document order, not visual columns. Convert high-risk tables to plain text before fields merge.
ATS often stores cover letters, but first-pass scoring usually ignores them. Write for the recruiter, not for mythical keyword weighting.
Education parsing fails on shorthand degrees, GPA punctuation, mixed certificates, and date formats. Clean labels and stable dates fix most of it.
The riskiest header mistake is structural, not visual. Content placed in the document header or floating boxes can disappear before review.
Upload limits differ by platform, but large files usually signal images, embedded fonts, and graphics that lower parse quality before review.