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 Platform Engineer / SRE PK

Wizdaa · Pakistan

THE ROLE

We're looking for a Senior Platform Engineer / SRE who can lead complex infrastructure work, drive IaC

and GitOps architecture, and set the standard for how we automate and operate systems at scale. You'll

tackle hard problems — multi-tenant isolation, self-service infrastructure, reliability engineering — and

have the scope to solve them properly.

This is not a ticket-processing role. Seniors here identify problems before they're asked, make

architectural calls, mentor engineers, and raise the ceiling on what the platform can do.

WHAT YOU'LL WORK ON

  • Lead IaC architecture — Terraform module design, state management, multi-account patterns, and

setting the standards the rest of the team builds against

  • Drive GitOps at scale — ArgoCD configuration, progressive delivery patterns, promotion

workflows, and deployment reliability across multiple environments and tenants

  • Architect and operate multi-tenant Kubernetes infrastructure on AWS EKS — tenant isolation,

workload placement, cluster topology, and long-term scalability strategy

  • Build self-service infrastructure automation — provisioning pipelines, configuration management,

and platform capabilities that engineering teams can consume without manual intervention

  • Lead the use of agentic coding tools for infrastructure work — scaffolding new environments,

generating and reviewing IaC, accelerating automation, and establishing patterns for the team

  • Own reliability — SLO definitions, error budgets, incident response quality, and the feedback loop

that turns incidents into platform improvements

  • Set observability standards — trace coverage, alert quality, on-call ergonomics, and runbook

culture

  • Partner with security on zero-trust architecture, secrets management at scale, and infrastructure

hardening

  • Contribute to technical roadmap and help the team prioritize the right work
  • Mentor mid-level engineers — code review, design feedback, on-call shadowing

WHAT WE'RE LOOKING FOR

  • 6+ years in platform engineering, SRE, or infrastructure — with meaningful time operating

production systems at scale

  • Deep IaC expertise — you design Terraform architectures, not just write modules; you've managed

complex state and multi-account configurations in production

  • Strong GitOps background — you understand declarative infrastructure management at depth and

have opinions on how to do it well

  • Deep Kubernetes knowledge — you've operated clusters in production, dealt with real failure

modes, and understand the system at the control plane level

  • Strong AWS background — networking, compute, IAM, storage, multi-account design
  • Experience with multi-tenant infrastructure — isolation patterns, noisy neighbor mitigation, and

tenant lifecycle management

  • Automation-first thinking at a senior level — you design systems that eliminate entire categories of

manual work, not just individual tasks

  • Active user of agentic coding tools — you know how to direct them effectively, review their output

critically, and use them to multiply your output

  • Reliability engineering track record — SLOs defined and measured, post-mortems run,

measurable improvements driven

  • Strong communicator — you can make architectural decisions legible to engineers and leadership

alike

NICE TO HAVE

  • Experience with Karpenter and node lifecycle management in production
  • Background in FinOps — cost attribution, reserved capacity planning, workload right-sizing
  • Familiarity with data infrastructure — object storage, CDC pipelines, or lakehouse patterns
  • Experience supporting AI/ML inference workloads or GPU-based compute in production
  • Prior experience scaling platform infrastructure at a startup moving toward enterprise-grade

requirements

WHAT YOU WON'T FIND HERE

A platform team that maintains the status quo. We're actively building — new scale requirements, new

architectural domains, new automation capabilities. Senior engineers here shape how the platform

evolves, and the tools available to do it are better than they've ever been

Type: Full-Time, remote

Work time is in PST timezone

Originally posted on Himalayas