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 .

Principal Data Ops Engineer

Mastercontrol · Salt Lake City

About MasterControl:

MasterControl Inc. is a leading provider of cloud-based quality and compliance software for life sciences and other regulated industries. Our mission is the same as that of our customers to bring life-changing products to more people sooner. The MasterControl Platform helps organizations digitize, automate and connect quality and compliance processes across the regulated product development life cycle. Over 1,000 companies worldwide rely on MasterControl solutions to achieve new levels of operational excellence across product development, clinical trials, regulatory affairs, quality management, supply chain, manufacturing and postmarket surveillance. For more information, visit www.mastercontrol.com.

 

SUMMARY:

MasterControl is looking for a Principal Engineer for our Data Platform Operations team. This role will provide technical leadership in designing and implementing scalable, robust, and efficient data infrastructure solutions that power our next generation of applications and agentic capabilities. As the Principal Engineer, you will provide technical vision and expertise for our cloud-based data and AIML systems and infrastructure, establish architectural standards, and ensure our data platform delivers operational excellence, reliability, performance, and scalability at scale. This position reports to the Sr Director of Data Platform within the Engineering organization. 

 

 RESPONSIBILITIES:

  • Define and evolve architectural standards, patterns, and best practices for our data platform and infrastructure, ensuring alignment with broader engineering strategies 
  • Drive technical decision-making through a systematic approach balancing business requirements, scalability, cost-efficiency, and operational excellence 
  • Design and implement scalable data processing systems that handle complex workflows with high availability and fault tolerance to serve analytic and agentic consumers 
  • Provide technical leadership for deployment and management of production-quality data systems, including monitoring, scaling, and performance optimization 
  • Design scalable infrastructure as code approaches for data platform resource provisioning and management 
  • Develop and maintain reference architectures and technical documentation that clearly communicate complex systems and data flows 
  • Implement software engineering best practices for data management, including CI/CD, automation, version control, and testing 
  • Partner with cross-functional teams to translate business requirements into technical solutions and architectural roadmaps using a data first approach 
  • Evaluate and implement new technologies to enhance performance, maintainability, and reliability of our data systems 
  • Mentor and develop team members through architectural guidance, code reviews, and knowledge sharing 
  • Collaborate with security teams to establish and maintain robust data protection measures across all platform components 

 

 CORE COMPETENCIES:

  • Expert knowledge of distributed data processing systems, data pipelines, and storage technologies 
  • Deep expertise with AWS including S3, EC2, IAM, RDS, Kubernetes and container orchestration 
  • Expertise with Infrastructure as Code tools (Terraform, CloudFormation) 
  • Strong background in continuous integration, deployment automation, and DevOps methodologies 
  • Experience implementing comprehensive monitoring and alerting solutions 
  • Knowledge of Docker, Kubernetes, ECS, and container orchestration patterns 
  • Experience with both SQL and NoSQL databases  
  • Familiarity with vector databases and embedding workflows, semantic search and hybrid search strategies. 
  • Strong programming skills with experience in multiple modern languages 
  • Understanding of experience implementing Data Security, Regulatory and Compliance best practices 

 

QUALIFICATIONS:

  • BS/MS in Computer Science, Engineering or related technical field 
  • 10+ years of large scale software development experience with at least 5+ years focused on data platforms and infrastructure 
  • Demonstrated experience architecting and operating large-scale data processing systems 
  • Experience designing highly available systems utilizing load balancing, horizontal scalability, and redundancy 
  • Strong background in cloud architecture with extensive AWS implementation experience 
  • Proven record of implementing Infrastructure as Code and automation solutions 
  • Experience mentoring engineers and influencing technical direction across teams 
  • Excellent collaboration, presentation and verbal and written communication skills 

 

Why Work Here?

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