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

Synmax · Houston

About Us

We are a growing company that distills insights from satellite imagery and various other geospatial data sources into actionable intelligence for energy companies, financial market actors, and government agencies. We are looking for an experienced engineer to join our technical team and help shape our product trajectory.

The Role

We are looking for a Senior Backend Engineer who embraces AI agents to supercharge their workflows. Partnering with other developers on large-scale projects, you will leverage your deep technical expertise to rapidly prototype and develop robust backend systems, scalable APIs, and data pipelines to power our products. In particular, you are going to rethink our data storage and access strategies.


About Us

We are a growing company that distills insights from satellite imagery and various other geospatial data sources into actionable intelligence for energy companies, financial market actors, and government agencies. We are looking for an experienced engineer to join our technical team and help shape our product trajectory.

The Role

We are looking for a Senior Backend Engineer who embraces AI agents to supercharge their workflows. Partnering with other developers on large-scale projects, you will leverage your deep technical expertise to rapidly prototype and develop robust backend systems, scalable APIs, and data pipelines to power our products. In particular, you are going to rethink our data storage and access strategies.


How To Apply
Please submit your resume and relevant project portfolios or GitHub repositories. We are particularly interested in examples where you have built scalable APIs, integrated diverse data sources, or developed internal tooling.


Note: We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Key Responsibilities

  • System Architecture: Design scalable near-real-time data streams, integrating data from multiple sources into analytics pipelines and relational databases.
  • Data Management and Access Optimization: Improve robustness and performance of our SQL DB setup to facilitate high performance inserts of our data streams and API reads for our customers
  • Data Delivery & API Architecture: Architect highly performant APIs to serve vast quantities of geospatial and tabular data, ensuring rapid and reliable retrieval for downstream visualization and analytics.
  • Accelerate Development: Utilize AI coding agents to assist in the Software Development Life Cycle (SDLC) and help establish best practices for agentic workflows.
  • Cross-Functional Support: Work alongside software engineers and data scientists, providing programming and infrastructure support for MLOps and data science initiatives.
  • Technical Direction: Help shape our engineering direction by implementing robust data management practices and staying current on emerging technologies in data processing.
  • Ensure Code Quality: Refactor, profile, and optimize codebases. Implement rigorous integration testing, debugging, and deployment automation for cloud microservices.
  • The Tech Stack

  • Cloud: Google Cloud Platform (GCP)
  • Backend & Data: Python (API First), Postgres / PostGIS, Terraform
  • Minimum Qualifications

  • Work Authorization: Must be a US Citizen or US Permanent Resident.
  • Location/Timezone: Must be located and working within Central Time (CT) or Eastern Time (ET) zones (no West Coast/Pacific Time).
  • Education: BS degree in a STEM field.
  • Experience: 4+ years in a software engineering role, with a strong focus on data engineering.
  • Cloud Experience: 2+ years of hands-on experience in modern Cloud Systems (GCP, AWS, or Azure).
  • Core Languages: Production-grade proficiency in Python and first experience TypeScript.
  • Technical Expertise: In-depth understanding of software engineering best practices, distributed systems, relational database design/optimization, and scalable API design.
  • AI Workflows: Experience with (or a strong, demonstrated interest in) adapting the SDLC for AI-assisted development.
  • Communication: Strong communication and coordination skills tailored for a distributed team environment spanning US and UK.

  • Preferred Qualifications

  • Domain knowledge in the Energy, Oil & Gas sectors.
  • Experience with geospatial data processing tools and databases.
  • Familiarity with additional languages, such as Go or C#.

  • What we Offer

  • Compensation: Competitive salary and comprehensive benefits (medical, dental, vision).
  • Growth: Opportunities for career advancement as technical team member.
  • Flexibility: A fully remote role within a collaborative environment, plus optional access to our Houston office.
  • Impact: Direct involvement in products utilized by major players in the energy sector and government.
  • Continuous Learning: Mentorship from technical leaders