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 .

Senior Backend Engineer

Septeo · Barcelona, CT, es

We are building the next generation of cloud-native software for the hospitality industry. Our platform powers complex, multi-tenant environments across multiple companies and product lines, serving high-demand operational workflows at scale.
We operate in a high-availability, high-performance context where reliability and scalability are non-negotiable. Now, we are evolving the platform toward AI-native capabilities, integrating intelligent automation, AI-assisted workflows, and data-driven decision layers directly into our core services.
We are a product-driven, engineering-first organization. We value architectural thinking, ownership, continuous delivery, and pragmatic innovation.
If you enjoy designing resilient distributed systems and want to help evolve a mature platform into an AI-native ecosystem, you’ll feel at home here.

 

How You’ll Have Impact
•Architect Core Services: Design and evolve high-performance backend services using Java and Spring (Boot, Security, Batch) within a hexagonal architecture.
•Drive Platform Evolution: Contribute to architectural decisions around scalability, multi-tenancy, observability, and distributed communication (REST, queues, gRPC, batch, integrations).
•Build AI-Ready Systems: Design services and data models that enable AI-driven workflows, automation, and intelligent decision layers.
•Own the Lifecycle: From domain modeling and API design to deployment, monitoring, and production performance optimization.
•Collaborate Cross-Functionally: Work closely with product, frontend engineers (Angular/TypeScript), and DevOps to deliver production-ready features continuously.

What You’ll Do
•Design and implement scalable backend services using Java, Spring Boot, Spring Security, Spring Batch, Hibernate.
•Architect RESTful APIs and event-driven integrations with partners (REST, SOAP, gRPC, messaging systems).
•Optimize relational data models (SQL Server, PostgreSQL) for performance and maintainability.
•Deploy and operate services in Dockerized environments on AWS, ensuring resilience and observability (ELK, monitoring tools).
•Implement secure, high-performance, multi-tenant solutions.
•Participate in code reviews, technical discussions, and architectural design sessions.
•Use AI-assisted development tools (Copilot, Cursor, LLM-based workflows) to increase productivity and share best practices with the team.
•Take full responsibility for your code: you build it, you manage it.

We are building the next generation of cloud-native software for the hospitality industry. Our platform powers complex, multi-tenant environments across multiple companies and product lines, serving high-demand operational workflows at scale.
We operate in a high-availability, high-performance context where reliability and scalability are non-negotiable. Now, we are evolving the platform toward AI-native capabilities, integrating intelligent automation, AI-assisted workflows, and data-driven decision layers directly into our core services.
We are a product-driven, engineering-first organization. We value architectural thinking, ownership, continuous delivery, and pragmatic innovation.
If you enjoy designing resilient distributed systems and want to help evolve a mature platform into an AI-native ecosystem, you’ll feel at home here.

What You Bring
•5+ years of experience building production-grade backend systems.
•Deep expertise in Java and Spring Boot.
•Strong experience with relational databases and performance tuning.
•Proven experience designing RESTful APIs and distributed systems.
•Solid understanding of cloud-native architectures and containerized workloads.
•Experience working in high-availability, high-throughput environments.
•Strong ownership mindset: you care about reliability, performance, and maintainability.
•Comfortable participating in architectural discussions and challenging decisions.
•Professional Spanish and English level.

 

Nice-to-Have Superpowers
•Experience with Kubernetes and advanced CI/CD pipelines.
•Test-Driven Development (JUnit, Mockito).
•Experience integrating AI-driven workflows or designing systems that enable ML/AI consumption.
•Familiarity with frontend frameworks (Angular, React).
•Experience with observability platforms and performance monitoring.
•Exposure to Domain-Driven Design (DDD) and event-driven architectures.

•High-impact role with real architectural ownership.
•Opportunity to evolve a mature cloud platform toward AI-native capabilities.
•Collaborative, product-focused engineering culture.
•Continuous learning and technical growth.
•International and cross-functional environment.