No resume storage
Resume text, job description text, uploaded files, and scoring results are processed per request and are not persisted in the application database.
Who It Is For
- Backend engineering
- Frontend engineering
- Full stack engineering
- DevOps and cloud engineering
- Platform, data, QA, security, mobile, and architecture roles
What It Supports
- Resume and job description matching through API and browser UI
- Text or file input for both resume and job description
- Mixed input combinations such as resume file plus job description text
- API key onboarding by email
How It Works
The service extracts technical skills and experience signals from resumes and job descriptions, then calculates overall score, skill match, experience fit, matched skills, missing skills, and fit category.
Why Teams Trust Tech Resume JD Matcher
Deterministic scoring
The same inputs produce the same result, which makes technical evaluation stable, reviewable, and easier to operationalize.
Explainable matching
Matched skills, missing skills, experience fit, and version compatibility are visible in the response instead of hidden behind a black-box score.
Technical skill intelligence
The engine uses curated aliases, hierarchies, relationships, experience extraction, and version-aware logic for technology roles.
API-first integration
The service is designed for integration into ATS, HRMS, job portals, and internal hiring workflows through simple onboarding and matching APIs.
No training on your data
Customer resume and job description content is not used to train AI models, and stored user data is limited to onboarding and rate-limit tracking needs.