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 .

XUS_LATAM_IntegrationEngineer

Latam · Colombia

Full-Time

Required Skills and Qualifications

  1. 10-12 years

    Description of Skills/Needs :  Role Summary Design, build, and operate custom integration flows for a Product Catalog program built around a centralized digital catalog platform. This platform manages a rich, multi-attribute product data model where a significant portion of the attributes are generated or enriched through integrations — not entered manually. Keeping that data accurate, complete, and timely depends entirely on integration quality. The connected ecosystem is heterogeneous and complex, spanning ERPs, e-commerce and retail platforms, internal proprietary APIs, and external supplier systems — each with distinct protocols, data formats, and latency requirements. Because no off-the-shelf iPaaS or ESB will be adopted for this program, the engineer must be capable of building integration logic from the ground up: designing lightweight custom middleware components, implementing transformation and routing logic in code, and ensuring production-grade reliability across all flows. The engineer will work iteratively alongside a Tech Lead and product stakeholders, translating integration requirements into deliverable work packages from discovery through go-live and stabilization. 2. Integration Ecosystem The integration surface covers four distinct source / target domains: ERPs (SAP, Oracle, or equivalent) — master product data, pricing, and supply chain feeds that populate core catalog attributes. E-commerce and retail platforms — inbound catalog requirements and outbound product content distribution to sales channels. Internal proprietary APIs — custom services exposing business rules, digital assets, and operational data that enrich product records. External supplier and partner systems — heterogeneous formats, variable SLA, limited API maturity; often the most demanding integration surface. Integration patterns in scope include synchronous REST/SOAP APIs, file-based batch pipelines (SFTP/FTP), webhook and event-driven flows, and scheduled reconciliation jobs. No single pattern dominates; the engineer must be comfortable operating across all of them. A core challenge of this program is ensuring that integration-generated attributes arrive with correct structure, at the right moment in the product lifecycle, and in the exact format expected by the catalog data model. Data quality at the integration layer directly determines catalog completeness. 3. Required Qualifications Software Engineering Foundation Proficiency in at least one general-purpose backend language (Python, Node.js/TypeScript, Java, or equivalent) to build integration components from scratch. Ability to design and implement lightweight custom middleware: routing, transformation, retry logic, error handling, and dead-letter queues — without relying on iPaaS tooling. Strong understanding of data serialization formats: JSON, XML, CSV, flat files, and EDI variants. Experience building and consuming REST and SOAP APIs; familiarity with OAuth2, API keys, and basic auth schemes. Integration Patterns & Protocols Hands-on experience with file-based pipelines: SFTP/FTP ingestion, scheduling, retry/backoff strategies, and reconciliation reporting. Experience implementing webhook consumers and event-driven flows (polling, push, at-least-once delivery guarantees). Ability to design idempotent processing logic to handle duplicate events and partial failures safely. Familiarity with data validation, schema enforcement, and attribute-level transformation mapping between source and catalog data models. Operational Readiness Proven ability to implement monitoring, alerting, and structured logging for production integration flows. Experience building runbooks, interface specifications, mapping documents, and handoff materials for support teams. Strong end-to-end troubleshooting skills: able to trace failures across transformation logic, transport layer, and target system. Experience supporting release planning, cutover coordination, and post-go-live stabilization. 4. Responsibilities Work with the Tech Lead and stakeholders to translate integration requirements into scoped, deliverable work packages. Architect and develop custom integration components (inbound and outbound) connecting the digital catalog platform to the enterprise ecosystem. Ensure integration-generated product attributes arrive correctly structured, well-timed, and compliant with the catalog data model. Implement transformation logic, routing rules, error handling, retry strategies, and reconciliation reporting in code. Build monitoring and alerting coverage for all integration flows; ensure failures are visible and actionable. Maintain up-to-date documentation: interface specs, data mappings, runbooks, and SOPs. Participate in Agile ceremonies (sprint planning, reviews, retrospectives); support continuous delivery and incremental releases. Support cutover planning and provide hands-on stabilization during and after go-live. Produce handoff materials and knowledge-transfer documentation for production support teams. 5. Nice to Have Experience integrating with PIM, PXM, or digital catalog platforms — particularly their import/export APIs, channel configuration, and attribute/data model conventions. Experience integrating SAP (IDocs, BAPIs, or REST/OData APIs) or Oracle ERP systems. Familiarity with message broker or queue patterns (RabbitMQ, Kafka, AWS SQS, or equivalent) for async flows. Prior involvement in product catalog, PIM, or MDM implementation programs. Experience working in nearshore / distributed Agile teams across LATAM or US time zones. 6. What This Role Is Not This is not an iPaaS configuration or drag-and-drop middleware administration role. There is no pre-existing integration platform to configure. The engineer must be comfortable writing integration logic in code, making architectural decisions in collaboration with the Tech Lead, and operating in an environment where the middleware layer is being built — not purchased. Candidates with exclusively low-code or visual-mapping integration backgrounds will not have the depth required for this engagement. Version 2.1 — Revised March 2026 — PDP /