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 Fullstack Engineer

Matia · Tel-Aviv

Location: Ramat Gan, Israel (Hybrid, walking distance from both train stations)

About Matia

Matia is at the forefront of the DataOps revolution, building a unified platform that streamlines data management from end-to-end. We empower data teams with seamless ingestion, reverse ETL, comprehensive observability, and intuitive data cataloging, enabling faster, smarter decisions with significantly less tool sprawl. Backed by leading investors and trusted by data teams at companies like Ramp, Honeybook, and Lemonade, we're building the future of data confidence. Join us in shaping an innovative product and a high-impact engineering culture.

The Opportunity

We are seeking an experienced and highly motivated Senior Software Engineer to join our innovative engineering team. As a Senior Engineer, you will play a key role in designing, building, and optimizing our DataOps platform. This is a hands-on role where you’ll be solving complex challenges and driving innovation in how data operations are managed. You’ll collaborate with cross-functional teams, helping to bring new features to life while ensuring the performance and scalability of our platform. This is an incredible opportunity to make a meaningful impact on the future of Matia.

What You'll Do

  • Design & Develop: Design, develop, and maintain scalable and reliable code for Matia’s DataOps platform, ensuring high performance, security, and scalability.

  • Lead Features: Take ownership in leading the development of core features and services from conception to completion, with minimal oversight.

  • Mentor & Lead: Mentor junior engineers, sharing knowledge and best practices, and provide technical leadership across projects.

  • Drive Improvement: Champion continuous improvement efforts to ensure our systems are adaptable to evolving business needs.

  • Troubleshoot & Optimize: Troubleshoot and resolve complex technical issues in both development and production environments.

  • Collaborate: Work effectively with cross-functional teams (Product, Design, etc.) to translate requirements into robust technical solutions.

What We're Looking For

We are seeking a highly experienced, hands-on builder and technical leader who can independently drive innovation and impactful contributions to complex systems.

Must-Haves:

  • Experience: 5+ years of software development experience, including 2+ years in a Senior or Lead role where you owned the delivery of mission-critical systems.

  • Hands-on Technical Expertise: Proven exceptional proficiency in core technologies like TypeScript, Node.js, React, Python and deep understanding of high-performance SQL/NoSQL database design.

  • SaaS & Data Systems: Proven track record of architecting and scaling high-throughput SaaS platforms or complex, data-intensive systems, with a focus on system reliability and long-term maintainability.

  • Distributed Systems: Experience building reliable, asynchronous data pipelines using message brokers like Kafka, SQS, or RabbitMQ.

  • Infrastructure & Orchestration: Hands-on experience with Kubernetes (K8s) and cloud-native deployments. AWS expertise is an advantage.

  • Technical Leadership: Demonstrated ability to mentor junior engineers and provide technical leadership, driving impactful contributions.

  • A passion for solving challenging technical problems, thriving in fast-paced, dynamic environments.

  • A strong team player with excellent communication skills who can collaborate effectively with cross-functional teams.

Nice-to-Haves:

  • Data Domain Expertise: Previous experience at a data-centric company (e.g., ETL/ELT, Reverse ETL, Observability, or Data Cataloging).

  • Infrastructure & Orchestration: Hands-on experience with Kubernetes (K8s) and cloud-native deployments. AWS expertise is an advantage.

How to Apply

Does this role sound like a good fit for you? We encourage you to apply directly through our website.