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, Engineering

Mongodb · Sydney

We are looking for an experienced Lead Software Engineer with a strong background in data streaming products, the Java ecosystem and team leadership. You will lead a talented team building a complex product suite using a modern stack: Java, Spring Boot, Apache Kafka, Debezium, and React. The ideal candidate is a hands-on technical leader who can drive architectural decisions, mentor engineers, and collaborate closely with product management to deliver a product that solves our customers' most challenging data problems.

We are looking to speak to candidates who are based in Sydney for our hybrid working model.

The ideal candidate for this role will have

  • 6+ years of commercial software development experience with at least one JVM language such as Java, preferably using the Spring ecosystem
  • 2+ years of experience leading, coaching, and mentoring a team of software engineers to achieve high-impact results
  • Extensive product experience in the data streaming or data tooling space, especially with streaming data platforms such as Apache Kafka and Change Data Capture (CDC) tools like Debezium
  • Extensive experience with relational and document data modeling and hands-on experience with at least one SQL database (Postgres, MySQL, etc) and at least one document database (e.g. MongoDB)
  • Exposure to client-side technologies such as JavaScript and React is a plus
  • Good understanding of algorithms, data structures and their time and space complexity
  • Curiosity, a positive attitude, and a drive to continue learning
  • Excellent verbal and written communication skills

Position Expectations

  • Provide technical leadership and mentorship to a team of engineers, fostering a culture of innovation, quality, and continuous improvement.
  • Drive the architectural vision and long-term technical roadmap for the Data Migration product suite, ensuring it is scalable, reliable, and performant.
  • Collaborate closely with Product Managers and other stakeholders to define product features and translate business requirements into robust technical designs.
  • Lead the design and implementation of complex, mission-critical components of our data streaming and migration platform.
  • Champion and enforce engineering best practices through design reviews, code reviews, and by setting a high standard for quality and operational excellence.
  • Act as a hands-on leader, guiding the team through complex technical challenges and contributing to the codebase where necessary.

Success Measures

Within the first three months, you will have:

  • Fully ramped up on our architecture, business domain, and team processes.
  • Establish yourself as the technical leader within the team, actively driving technical discussions, design reviews, and planning for the product roadmap.
  • Begin mentoring team members and building strong collaborative relationships with your product counterparts.

Within six months, you will have:

  • Successfully led the team to deliver a major feature or product release.
  • Made significant contributions to the architectural roadmap and started influencing the technical direction of adjacent teams.
  • Established a clear rhythm of execution and a high-performing culture within your team.

Within 12 months, you will have:

  • Become recognized as the go-to technical expert for the data migration domain at MongoDB.
  • Delivered large-scale features across the entire tech stack that have a measurable impact on our customers and business.
  • Played a crucial role in recruiting, hiring, and growing the engineering team.

About MongoDB

MongoDB is built for change, empowering our customers and our people to innovate at the speed of the market. We have redefined the database for the AI era, enabling innovators to create, transform, and disrupt industries with software. MongoDB’s unified database platform—the most widely available, globally distributed database on the market—helps organizations modernize legacy workloads, embrace innovation, and unleash AI. Our cloud-native platform, MongoDB Atlas, is the only globally distributed, multi-cloud database and is available across AWS, Google Cloud, and Microsoft Azure.

With offices worldwide and nearly 60,000 customers—including 75% of the Fortune 100 and AI-native startups—relying on MongoDB for their most important applications, we’re powering the next era of software.

Our compass at MongoDB is our Leadership Commitment, guiding how and why we make decisions, show up for each other, and win. It’s what makes us MongoDB. 

To drive the personal growth and business impact of our employees, we’re committed to developing a supportive and enriching culture for everyone. From employee affinity groups, to fertility assistance and a generous parental leave policy, we value our employees’ wellbeing and want to support them along every step of their professional and personal journeys. Learn more about what it’s like to work at MongoDB, and help us make an impact on the world!

MongoDB is committed to providing any necessary accommodations for individuals with disabilities within our application and interview process. To request an accommodation due to a disability, please inform your recruiter.

MongoDB is an equal opportunities employer.

Requisition ID 1273361586