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

Zetachain · San Francisco (Hybrid)

About ZetaChain

ZetaChain is building the infrastructure for a more private and interoperable internet. Our mission is to create blockchain technology that puts users in control of their data while enabling seamless interactions across platforms.

Anuma.ai is our flagship AI product—an ambitious privacy-first AI platform designed to deliver real value while maintaining user sovereignty. Backed by top-tier investors, we're pushing the boundaries of what AI can do in the real world, building a fully interoperable and private AI ecosystem that serves actual user needs.

If you're excited by meaningful technical challenges and building products that matter, this is the place for you.

About the Role

We're looking for a Senior Platform Engineer to build and operate the infrastructure powering next-generation AI applications. You'll ensure the reliability, scalability, and security of production systems that serve users globally—working at the intersection of blockchain, AI, and distributed systems.

This is a highly hands-on, execution-focused role. You'll operate critical infrastructure, build automation to eliminate toil, and partner with engineering teams to design systems that are reliable by default. If you thrive on solving complex infrastructure challenges, love building robust automation, and want to work with cutting-edge technology stacks, this is the role for you.

What You'll Do

  • Operate and maintain production blockchain infrastructure, including validators, RPC services, indexers, and supporting services
  • Ensure high availability and performance for AI‑enabled developer platforms and internal tooling
  • Build and maintain monitoring, alerting, and dashboards for protocol, infrastructure, and application health
  • Write high‑quality automation and infrastructure code to reduce toil and improve reliability
  • Participate in on‑call rotations, incident response, and post‑incident reviews
  • Partner with engineering teams to embed reliability, scalability, and security best practices into system design
  • Improve Kubernetes reliability across cloud and bare‑metal environments
  • Continuously refine deployment, rollback, and recovery strategies

What We're Looking For

Required:

  • 3+ years of experience in Platform Engineering, Infrastructure Engineering, or Site Reliability Engineering
  • Strong software engineering foundation with production experience in Go and/or Python
  • Deep expertise operating Linux systems in production environments
  • Proven track record running Kubernetes at scale in high-availability environments
  • Experience supporting distributed systems with demanding uptime requirements
  • Comfort working in fast-moving startup environments with evolving requirements
  • Strong security mindset, especially for infrastructure operating on public or adversarial networks
  • Excellent collaboration and communication skills across technical and non-technical stakeholders

Bonus Points:

  • Exposure to AI-powered infrastructure, observability tools, or developer tooling
  • Experience operating blockchain nodes or validator infrastructure
  • Familiarity with Cosmos-based chains or EVM clients
  • Experience with DevOps, DevSecOps, or GitOps methodologies
  • Active contributions to open-source projects

Not Required: Prior blockchain experience is not required—we value strong engineering fundamentals, automation skills, and distributed systems expertise above domain-specific knowledge. Our ideal candidate description is a wish list, not a checklist.

Our Tech Stack

  • Languages: Go, Python, Bash, Terraform, Ansible
  • Infrastructure: Kubernetes, Docker, Linux
  • Observability: Prometheus, Grafana, Datadog, Loki, incident.io
  • Platforms: AWS, GCP, bare metal
  • Blockchain Stack: Cosmos SDK, Tendermint / CometBFT, Ethereum, Bitcoin

Why Join Us

  • Build and operate infrastructure for cutting-edge AI and blockchain systems
  • Make architectural decisions that impact reliability at scale
  • Work with modern, best-in-class tooling across the entire infrastructure stack
  • Collaborate with talented engineers solving novel distributed systems challenges
  • Competitive compensation with meaningful benefits
  • Flexible hybrid work environment in San Francisco
  • Backed by top-tier investors who believe in our vision

Compensation

Base Salary: $190,000 – $225,000
This range reflects base salaries for roles in the San Francisco market. For candidates in other locations, compensation is adjusted to remain competitive within their local market.

In addition to the base salary, all full-time team members receive an additional 10% to 25% in liquid benefits with upside based on role, experience, and impact. We believe in building together and sharing in the long-term success of the network. Compensation packages are designed to be competitive and aligned with the growth of both the team and the ecosystem.