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 .

Quality Engineer 3

Arctic Wolf · Bengaluru, IND

About the Role 
The Arctic Wolf security operations platform ingests and processes upwards of 600 billion events a day from a wide variety of on-premise devices and cloud platforms. The security pipeline is a distributed system of loosely-coupled microservices that constitute our Realtime analysis and threat detection systems. These services distil the incoming events into actionable intelligence that our Concierge Security Teams use to protect customers. 

We are looking for experienced quality engineers to join our pack and work with us to build and expand the capabilities of our testing platform.  

You Will: 

  • Create and extend software frameworks and tools to run, monitor, and report on automated tests. Have experience building and maintaining Automation frameworks and CI/CD pipeline. 

  • Review testing strategies, approaches, and test plans and provide insight to development teams. 

  • Architect, design and build software to automate a variety of testing methods (e.g. API validation, performance/load testing, fuzzing, etc.) 

  • Develop and maintain test frameworks for GenAI-based and AI/ML applications, including model validation, LLM prompt-response consistency, hallucination detection, and regression testing for AI inference APIs. 

  • Implement evaluation pipelines to test LLM accuracy, latency, bias, toxicity, and reliability. 

  • Work as part of a team of highly skilled software professionals. 

  • Continuously learn and expand your technical horizons 

  • Our Technology Stack: Selenium, Playwright, Docker, Kubernetes, AWS (Bedrock, Lambda, SQS, S3, etc.), LangChain, LLM evaluation frameworks (e.g., Ragas), OpenAPI, Postgres, Linux. 

You: 

  • Are excited to work at the intersection of AIML, Big Data and the Cybersecurity problem space 

  • Have 5+ years of experience shipping quality software 

  • Love driving high software quality 

  • Have experience deploying services on cloud computing platforms (e.g, AWS, Azure, GCP) 

  • Are an expert using common tools for executing functional, load and fuzz testing (e.g. Locust, CATS) 

  • Have worked on distributed systems and microservices architecture (preferred) 

About Arctic Wolf 
At Arctic Wolf, we’re cultivating a collaborative and productive work environment that welcomes a diversity of backgrounds, cultures, and ideas to make our teams even stronger as we grow globally. We’ve been named one of the 50 Most Innovative Companies in the world for 2022 (Fast Company)—and the 2nd Most Innovative Security Company. We have won countless awards for our excellence in security operations and remain dedicated to providing an industry-leading customer and employee experience including: 
 

Top Workday USA (2021-2024) 

Great Place to Work (2022-2024) & Best Workplaces for Women (2024) in Canada 

Best Workplaces in Tech & For Women in the UK (2023) 

Top Company by Kununu in Germany (2024) 

Our Values 
Arctic Wolf recognizes that success comes from delighting our customers, so we work together to ensure that happens every day. We believe in diversity and inclusion and truly value the unique qualities and unique perspectives all employees bring to the organization. And we appreciate that—by protecting people’s and organizations’ sensitive data and seeking to end cyber risk— we get to work in an industry that is fundamental to the greater good. 
We celebrate unique perspectives by creating a platform for all voices to be heard through our Pack Unity program. We encourage all employees to join or create a new alliance. See more about our Pack Unity here. Arctic Wolf is an Equal Opportunity Employer and considers applicants for employment without regard to race, colour, religion, sex, orientation, national origin, age, disability, genetics, or any other basis forbidden under federal, provincial, or local law. Arctic Wolf is committed to fostering a welcoming, accessible, respectful, and inclusive environment ensuring equal access and participation for people with disabilities. As such, we strive to make our entire employee experience as accessible as possible and provide accommodations as required for candidates and employees with disabilities and/or other specific needs where possible. Please let us know if you require any accommodations by emailing [email protected]

On-Camera Policy
To support a fair, transparent, and engaging interview experience, candidates interviewing remotely are expected to be on camera during all video interviews.
 Being on camera fosters authentic connection, improves communication, and allows for full engagement from both candidates and interviewers.
 We understand that technical, bandwidth, or location-related challenges may occasionally prevent video use. If this applies, candidates are required to notify us in advance so we can explore appropriate accommodations.

Security Requirements 
Conducts duties and responsibilities in accordance with AWN’s Information Security policies, standards, processes, and controls to protect the confidentiality, integrity and availability of AWN business information (in accordance with our employee handbook and corporate policies). 

Background checks are required for this position.