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 .

Backend Software Engineer - Python/Postgres [Remote / Global]

Enveritas · Global - Remote Work

Do you want to work for a mission-driven non-profit, writing software that will contribute to helping the livelihoods of millions of coffee farmers around the world? Enveritas is a 501(c)(3) non-profit and Y Combinator-backed startup looking to hire for our Engineering & Data Group. We are looking for a backend software engineer with a focus on python and PostgreSQL to join our EUDR engineering team on a remote/global, full-time basis. You can learn more about this job and our group at https://www.enveritas.org/jobs/backend-software-eng/

About Our Engineering & Data Group

We are a quirky, talented, and humble group of about thirty people with diverse backgrounds, ranging from journalism to academia to international industry. We’re represented across the gender spectrum, with 36% of our Engineering and Data Group identifying as women and/or nonbinary. Several of us are parents, with more expecting.

Our group builds software to collect, analyze, and report data about coffee farmers’ conditions and practices. This large-scale data-collection effort requires many moving parts to work together, and we use technology to support that effort at every step of the process — from identifying coffee farms in satellite imagery, to coordinating survey edits across country teams, to detecting data anomalies in real-time that can be investigated while teams are still in the field. A core part of our work is in data aggregation and report generation, with insights ultimately being shared with roasters and other stakeholders on how to assist in improving the social, economic, and environmental conditions of smallholder farmers. 

Our backend systems use Python and PostgreSQL/PostGIS, running in containerized services on AWS. We use GitHub and CI/CD, and Terraform for newer services.

What You’ll Be Doing

This role is part of our EUDR engineering team. Your work will focus on the backend systems that ingest customer-submitted farm lists, validate and transform those inputs, and run them against our deforestation detection model and geospatial datasets. 

Your responsibilities will include:

  • Backend feature development and maintenance. Implement improvements to our EUDR backend services, refine geospatial workflows, and strengthen data checks and error handling.
  • Investigative problem-solving. When something doesn’t look right to our Support team, you will help trace through data, assumptions, and system behavior to understand what happened and how to fix it.
  • Working with ambiguous or evolving requirements. EUDR is a regulated space where guidance changes, and internal requests are sometimes incomplete. You’ll help clarify what’s needed and translate it into practical engineering work.
  • Adapting the system to regulatory updates.  As the EU releases new FAQs or adjustments, you will help interpret their implications and adapt parts of the system to remain consistent and compliant.
  • General backend engineering. Python + PostgreSQL/PostGIS development, improving observability, contributing to CI/CD pipelines, and helping make the system more resilient over time.

Although the role is primarily development-focused, you will also be responsible for applying and maintaining Terraform-based changes in AWS for the services you work on.

What You’ll Be Doing

This role is part of our EUDR engineering team. Your work will focus on the backend systems that ingest customer-submitted farm lists, validate and transform those inputs, and run them against our deforestation detection model and geospatial datasets.

Your responsibilities will include:

  • Backend feature development and maintenance. Implement improvements to our EUDR backend services, refine geospatial workflows, and strengthen data checks and error handling.
  • Investigative problem-solving. When something doesn’t look right to our Support team, you will help trace through data, assumptions, and system behavior to understand what happened and how to fix it.
  • Working with ambiguous or evolving requirements. EUDR is a regulated space where guidance changes, and internal requests are sometimes incomplete. You’ll help clarify what’s needed and translate it into practical engineering work.
  • Adapting the system to regulatory updates.  As the EU releases new FAQs or adjustments, you will help interpret their implications and adapt parts of the system to remain consistent and compliant.
  • General backend engineering. Python + PostgreSQL/PostGIS development, improving observability, contributing to CI/CD pipelines, and helping make the system more resilient over time.

Although the role is primarily development-focused, you will also be responsible for applying and maintaining Terraform-based changes in AWS for the services you work on.

Qualifications

  • Strong ability to present and explain complex ideas clearly to non-technical colleagues.
  • Demonstrated ability to apply design patterns for creating modular and efficient software, with the ability to teach others how to solve architectural problems.
  • Extensive experience with Python, including developing applications and complex data processing tasks. Familiarity with Django or Flask.
  • Advanced experience with PostgreSQL, including query optimization, joins, stored procedures, and performance tuning.
  • Practical experience with Linux, Bash scripting, Docker containers, and AWS services (EC2, RDS, CloudFront).
  • A minimum of seven years of full-time professional experience as a backend software engineer.
  • Bachelor’s degree in computer science or equivalent training in the principles of software engineering.

Research shows that people of different backgrounds read job postings differently. If you don’t think you meet all of the qualifications but do think you’d be a great match for us, please consider applying and sharing more in your application answers. We’d love to talk with you to see what skills you can bring to our team.

Who You Are

Our team is fully distributed, so you should be comfortable with remote work. This role is a full-time individual contributor role. While you can be located anywhere that our EOR (Deel) supports, our core hours are 10am to 2pm Eastern Time, Monday through Friday, with team members choosing either an early start or later stop as suits them.

You should be inspired by our mission to improve the lives of smallholder coffee farmers, and have an interest in sustainability. You should have a deep empathy for users of our tools and understand the importance of supporting the work of other teams. Because operational and business needs can be ambiguous and change on a short time-scale, you should have a love for environments with uncertainty, and enjoy not only solving problems, but discovering and demystifying them.

We are a small team! You should be comfortable working both independently and as a thoughtful collaborator, sensitive to the legibility and maintainability of your code when in the hands of your teammates.

About Working With Us & Compensation

Enveritas has teams around the world: we are about 150 people spread over more than two dozen countries, and of all backgrounds, faiths, and identities. To learn more about working at Enveritas, see https://www.enveritas.org/jobs/

For a US-Based hire, base salary for this position will be between $135,000 and $155,000 annually (paid semi-monthly). This is a full-time exempt position. Full benefits include 401k with matching contributions, Medical/Dental/Vision, and Flexible Spending Account (FSA), 4 weeks vacation in addition to 13 standard holidays, and personal/sick time.

For a hire outside the US, our offer will be competitive; the specific benefits and compensation details will vary as required to account for your region’s laws and requirements. Salary for this position will be paid in relevant local currency.

For all staff, we are able to offer:

  • Annual all-company retreat and annual group retreat.
  • Annual education budget for conferences, books, and other professional development opportunities.
  • Field visits to our Country Ops teams in coffee-growing countries such as Colombia, Costa Rica, Ethiopia, and Indonesia.

Interview Process

We are committed to fair and equitable hiring. To honor this commitment, we are transparent about our interview process. See the hiring page at https://www.enveritas.org/jobs/backend-software-eng/ for details about our interview stages. After your introductory interview, we expect your interview process to take four to six weeks, consisting of four conversations that total about five hours of time. You should plan to also spend about four hours in total preparing for interviews.

How to Apply

Please apply using our Greenhouse application form. Feel free to contact us at [email protected] should you have any questions about the position or the interview process. Questions about this opportunity or process will not reflect negatively on your application.

We care deeply about diversity. Our work is complex and nuanced, so the more diversity we have in the voices working on our problems, the larger of an impact our work can have for the world. Enveritas is an Equal Opportunity Employer ​encouraging an inclusive and diverse workforce. We embrace and celebrate the unique experiences, perspectives, and cultural backgrounds that each individual brings to the workplace. We are dedicated to hiring employees who reflect the communities we serve and strongly encourage qualified candidates from all backgrounds to apply.​

A few notes about our communications: We are not able to reply to messages sent to staff outside of either our application process or our jobs email address, as this is unfair to other candidates. Also, Enveritas has been made aware of fake job postings by individuals pretending to hire persons seeking employment. These individuals are looking to collect personal information about you for fraudulent purposes. All legitimate Enveritas job openings are posted under https://enveritas.org/jobs/ and all recruiting emails from Enveritas team members will come from @enveritas.org.