Yes — we have a pretty clear understanding of how ATS (Applicant Tracking Systems) work and how to structure a CV so it passes ATS filters (i.e., so it gets seen by a human recruiter instead of being filtered out). Here's a practical explanation broken down into how the algorithms work, and what you should do to make your CV ATS-friendly.
How ATS Algorithms Work
Before you start evaluating developers, you need clarity on what you're building. This might seem obvious, but many founders skip this step and end up hiring someone who's a great developer but not the right fit for their project.
ATS systems are automated tools (often with AI/NLP components) that companies use to filter, sort, and rank CVs before a human ever reads them. Their goal is to reduce the huge volume of applications and give recruiters a shortlist of potentially relevant profiles. Many large companies and job boards rely on these systems — some estimates suggest 75% or more of applications are filtered by ATS before human review.
Here's what typically happens:
1. Text Extraction & Parsing
ATS reads your CV file and converts it into plain text it can analyze. It tries to understand where key parts of the CV are (experience, education, skills, etc.).
2. Information Categorization
The system organizes detected content into structured fields (e.g., job titles, company names, dates, skills). It uses patterns to detect these sections.
3. Keyword Matching
ATS looks for keywords from the job description (e.g., "Python", "project management", "SEO"). It compares these to the text in your CV. The more relevant matches, the better your score.
4. Scoring & Ranking
Each CV gets a relevance score based on matching keywords, structured data, completeness, etc. The system ranks candidates and often removes those below a threshold before recruiter review.
How to Structure Your CV for ATS
A CV that is both machine-friendly and readable by humans should follow the principles below.
Use a Simple, Standard Layout
Avoid complex formatting like columns, tables, text boxes, images, graphics, and unusual fonts — ATS often misreads or ignores these.
Keep to one column and use common section headings such as:
- Contact Information
- Professional Summary
- Work Experience
- Education
- Skills
- Certifications / Languages
This helps ATS parse correctly.
Choose the Right File Type
Prefer .docx or standard PDF (but if a job posting specifies one format, use that). Some older ATS may not correctly parse fancy PDFs, so .docx can be safest.
Match Keywords from Job Description
Carefully mirror terminology used in the job posting. For example, if it says "SEO" and "Google Analytics", include those exact terms if you have those skills. ATS is often literal and may not detect synonyms well.
Place keywords naturally within experience bullet points, skills list, and summary. Don't just stuff keywords — it should still read naturally for humans.
Use Clear Dates and Structure
List work experience in reverse chronological order (most recent first).
Format dates and job titles consistently so ATS groups them correctly.
Skills Section
Include a dedicated Skills section with relevant hard and soft skills, using the same language as the job description.
Separate skill types (technical vs soft) if appropriate — just stay clear and standardized.
What to Avoid
- Graphics, icons, decorative fonts or images — these can break parsing
- Creative section titles like "My Journey" instead of "Experience" — ATS may not recognize them
- Overuse of synonyms or abbreviations that don't exactly match the job posting language
Quick Checklist Before Sending Your CV
Use this mini-checklist to improve ATS success:
- ✔ Are your headings standard and clear?
- ✔ Is the layout single-column without graphics?
- ✔ Does the text include key terms from the job description?
- ✔ Are all dates, titles, and company names clearly formatted?
- ✔ Is the file saved as .docx or compatible PDF?
- ✔ Do you have a skills list that matches the job?
ATS + AI: What's Changing
Modern ATS may use AI/machine learning to better understand content, reduce bias, and score resumes more effectively, but the fundamentals still rely on text extraction, keyword matching, and structured formatting.
Bottom Line
ATS is not "magic" — it's essentially an automated text parser and search filter that ranks CVs against the exact criteria in the job description. With the right structure, format, and language, you can significantly improve the odds your application makes it to a real person.
If you want, I can help you tailor your actual CV text to be more ATS-friendly for a specific job posting — just share the job description!