Technology · ATS Scoring

Full-Stack Engineer Resume ATS Score

See how your Full-Stack Engineer resume scores against the rules ATS systems use. This page lists the 12 keywords they look for in full-stack engineer resumes, the formatting rules they penalize, and the fixes that move the score fastest.

Get a live Full-Stack Engineer ATS score

Upload your resume and we'll score it against this rubric in about a minute. No signup required for the base report.

Score my Full-Stack Engineer resume

Keywords ATS systems scan for in Full-Stack Engineer resumes

ATS systems rank candidates partly on how many of the role's expected keywords appear, and where they appear. The strongest signal is a keyword used inside an achievement bullet, not just listed in the skills section.

ReactNext.jsNode.jsTypeScriptPostgreSQLPrismatRPCRESTAWSDockerCI/CDStripe

Scoring rubric for Full-Stack Engineer resumes

We weight three categories, calibrated to full-stack engineer hiring patterns:

50%

Keyword coverage

How many of the 12 target keywords appear, and whether they live in achievement bullets or only the skills section.

30%

Bullet quality

Active verbs, specific scoped objects, and quantified outcomes. The same pattern hiring managers look for.

20%

Format integrity

Parseable columns, standard section headers, fonts that survive parsing, and length appropriate to your career stage.

Score-killers specific to Full-Stack Engineer resumes

Listing both stacks without making ownership clear
No examples that show end-to-end delivery on a single feature
Skipping product or business outcomes (conversion, retention, revenue)

Example bullets that score well

Each bullet includes a target ATS keyword in context, uses an active verb with a scoped object, and ends on a quantified outcome. Those are the three signals that move full-stack engineer ATS scores fastest.

Shipped the subscription billing feature end to end (Stripe webhooks, Postgres, React dashboard); reduced churn 14% over two quarters.

Owned admin panel rewrite (Next.js, tRPC, Prisma); cut support resolution time 40% by exposing 12 previously CLI-only operations.

Built an internal feature-flag service used across six teams; eliminated a class of deploy-day rollback incidents.