Key Takeaways

  • 75% of U.S. employers use automated applicant tracking systems to screen resumes before a human reviews them (Harvard Business School & Accenture, 2021)
  • The most common ATS failures are missing keywords, incompatible formatting, and incorrect file types
  • ResumeGeni scores your resume across 8 parsing layers — modeled on the same steps enterprise ATS platforms like Workday, Greenhouse, and Taleo use to evaluate candidates

How ATS Resume Scoring Works

Applicant tracking systems parse your resume into structured data — extracting your name, contact info, work history, skills, and education — then score how well that data matches the job requirements. Many ATS rejections happen because the parser couldn't extract critical fields, not because the candidate wasn't qualified.

LayerWhat It ChecksWhy It Matters
Document extractionFile format, encoding, readabilityCorrupted or image-only PDFs fail immediately
Layout analysisTables, columns, headers, footersMulti-column layouts break field extraction
Section detectionExperience, education, skills headingsNon-standard headings cause sections to be missed
Field mappingName, email, phone, dates, titlesMissing contact info is a common cause of immediate rejection
Keyword matchingJob-specific terms, skills, certificationsKeyword overlap affects recruiter search visibility and ATS scoring
Chronology checkDate ordering, gap detectionReverse-chronological order is expected by most ATS
QuantificationMetrics, numbers, measurable outcomesQuantified achievements help human reviewers and some scoring models
Confidence scoringOverall parse quality and completenessLow-confidence parses get deprioritized in results

Frequently Asked Questions

Is ResumeGeni free?
Yes. ResumeGeni is currently in beta — ATS analysis, scoring, and initial improvement suggestions are free with no signup required. Full guidance and saved reports may require a free account.
What file formats are supported?
PDF, DOCX, DOC, TXT, RTF, ODT, and Apple Pages. PDF and DOCX are recommended for best ATS compatibility.
How is the ATS score calculated?
Your resume is processed through an 8-layer parsing pipeline that extracts structured data the same way enterprise ATS platforms do. The score reflects how completely and accurately your resume can be parsed, plus how well your content matches common ATS ranking criteria.
Can ATS read PDF resumes?
Yes, but not all PDFs are equal. Text-based PDFs parse well. Image-only PDFs (scanned documents) and PDFs with complex tables or multi-column layouts often fail ATS parsing. Our analyzer will flag these issues.
How do I improve my ATS score?
Focus on three areas: use a clean single-column format, include keywords from the job description naturally in your experience bullets, and ensure all sections (contact, experience, education, skills) use standard headings.

ATS Guides & Resources

Built by engineers with 12 years of experience building enterprise hiring technology at ZipRecruiter. Last updated .

Lead Software Engineer - Systems

Freshworks · Hyderabad

 
  • Design and develop systems and APIs with reliability and modularity in mind.
  • Architect services to support multi-tenant, cloud-native applications.
  • Lead efforts on code optimisation, refactoring, and scaling existing systems.
  • Own full lifecycle from requirement gathering to design, implementation, and support.
  • Drive best practices for OOPS, design patterns, and system scalability.
  • Ensure high availability (99.99%+), security, and monitoring of production systems.
  • Partner with SREs, PMs, and other tech leads to deliver platform-wide capabilities.
  • Mentor 2 4 systems engineers and lead technical conversations across multiple teams.
Requirements
  • Demonstrated proficiency in leveraging AI-assisted development tools (e.g., GitHub Copilot or similar) to accelerate engineering velocity, enhance code quality, and optimize problem-solving.
  • 6 to 9 years of experience in building backend systems and infrastructure.
  • Data Structures & Algorithms (DSA) : Expertise in selecting optimal data structures and developing efficient, optimized code including time/space complexity trade-offs. Deep knowledge of REST APIs.
  • Problem Solving & Logical Analysis : Ability to clearly articulate thought processes, decompose complex problems, and engineer effective solutions.
  • Object-Oriented Design (OOD) : Strong command of OOP principles, designing extensible code, and applying SOLID principles.
  • System Design (High-Level Design - HLD & LLD) : Proven ability to design scalable, highly available, and fault-tolerant end-to-end systems, including APIs, schema, and data models.
  • Exposure to RDBMS, caching strategies, distributed queues, and microservices.
  • Exposure and experience with AI tools and technologies to improve efficiency
  • Leadership & Collaboration : Demonstrates strong ownership, collaborates effectively, and shows potential for mentoring.
  • System Design (HLD): Ability to gather requirements (functional/non-functional) and design scalable, highly available, fault-tolerant, end-to-end systems.
  • API & Database Design: Skilled in designing APIs, database schemas, and data models.
  • Technical Communication: Excellent at conveying technical concepts and solutions clearly.
  • Problem-Solving & Analysis: Strong analytical and logical reasoning for complex problem-solving.
  • Code & Design Optimization: Capable of optimizing code and system designs for performance and efficiency.
  • Code Review: Experienced in performing effective code reviews.
  • Tech Stack: Knowledgeable about relevant technologies and adept at articulating suitable tech stacks for designs.
  • Hands-on experience with CI/CD, DevOps tooling, and cloud platforms (AWS/GCP).Qualifications
Qualification
  • Degree in Computer Science, Engineering, or a related field.
  • You ve built systems from scratch and taken them through multiple iterations.
  • Experience with RDBMS, NoSQL, and queuing systems .
  • Familiarity with observability, rate limiting, multi-region deployments.
  • You thrive in ambiguity and move fast without sacrificing technical depth.
Skills Inventory:
  • Strong grasp of Data Structures, Algorithms, and Object-Oriented Programming (OOP)
  • Proven experience in designing scalable, fault-tolerant backend systems
  • Expertise in API design, database modeling , and system architecture
  • Ability to optimize code and ensure high performance and availability
  • Hands-on experience with CI/CD, DevOps tools, and cloud platforms (AWS/GCP)
  • Excellent technical communication and collaboration across teams