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 .

Cloud Network Engineer

Applovin · Palo Alto, CA

About AppLovin

AppLovin makes technologies that help businesses of every size connect to their ideal customers. The company provides end-to-end software and AI solutions for businesses to reach, monetize and grow their global audiences. For more information about AppLovin, visit: www.applovin.com.

To deliver on this mission, our global team is composed of team members with life experiences, backgrounds, and perspectives that mirror our developers and customers around the world. At AppLovin, we are intentional about the team and culture we are building, seeking candidates who are outstanding in their own right and also demonstrate their support of others.

Fortune recognizes AppLovin as one of the Best Workplaces in the Bay Area, and the company has been a Certified Great Place to Work for the last four years (2021-2024). Check out the rest of our awards HERE.

We're looking for a Network Engineer with a strong focus on cloud networking to join our team. In this role, you'll help design, build, and maintain scalable, secure, and reliable network infrastructure across our cloud environments. You'll work closely with DevOps, Security, and Engineering teams to ensure seamless connectivity and performance for our platform and services.
 

What you'll do


• Design, implement, and manage cloud networking architectures (VPCs, subnets, routing, firewalls, load balancers, VPNs, and interconnects).
• Automate infrastructure using Infrastructure as Code (Terraform, Ansible, Helm, etc.).
• Integrate networking into CI/CD workflows and cloud-native deployments (Kubernetes networking, ingress controllers, service mesh).
• Troubleshoot Linux-based networking issues (TCP/IP, DNS, TLS, iptables) across layers 3–7.
• Partner with cross-functional teams to improve performance, availability, and security.
• Contribute to network observability and monitoring (Prometheus, Grafana, Datadog).
• Document designs, processes, and runbooks; participate in on-call rotation.
 

What we're looking for


• 3+ years of experience in DevOps, SRE, or Network Engineering with a strong cloud focus.
• Hands-on expertise with AWS, GCP, or Azure cloud networking (VPCs, routing, load balancing, firewalls).
• Proficiency with Infrastructure as Code (Terraform, Ansible, Pulumi, Helm).
• Experience with Kubernetes networking (CNI, ingress, service mesh).
• Excellent troubleshooting skills in Linux networking.
• Strong communicator and collaborator who thrives in cross-functional teams.
 

Nice to have


• Traditional data center networking knowledge (routers, switches, firewalls, load balancers – Cisco, Arista, Juniper, F5).
• Familiarity with routing protocols (BGP, OSPF, VXLAN, GRE).
• Experience with security best practices (network segmentation, zero-trust).
• Exposure to observability and monitoring tools (Prometheus, Grafana, ELK, Datadog).
• Strong scripting/automation skills (Python, Bash, or Go).

AppLovin provides a competitive total compensation package with a pay for performance rewards approach. Total compensation at AppLovin is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Depending on the position offered, equity, and other forms of incentive compensation (as applicable) may be provided as part of a total compensation package, in addition to dental, vision, and other benefits.

Other Types of Pay: Equity eligible

Health Insurance: Medical, Dental, Vision, Life, Disability

Retirement Benefits: 401(k) Retirement Plan

Paid Time Off: Unlimited Discretionary Time Off

Paid Holidays: 10 paid holidays per year

Paid Sick Leave: 80 hours per year

Method of Application: Apply online

Application Window: The application window is expected to close within 30 days of the posting date.

All questions or concerns about this posting should be directed to [email protected].

CA Base Pay Range
$124,000$186,000 USD
AppLovin has become aware of a scam targeting jobseekers with fake “app optimization” and similar roles.  We do not ask our candidates to download apps or make any form of payment(s). AppLovin works with applicants through our Careers page and applovin.com email addresses. If you are contacted through other unofficial channels (such as WhatsApp or Telegram) or asked to download an app or make a payment, these contacts are not legitimate. Confirm the information here and contact us directly with any questions.
 
AppLovin is proud to be an equal opportunity employer that is committed to inclusion and diversity. All applicants will be considered for employment without attention to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran or disability status, or other legally protected characteristics. Learn more about EEO rights as an applicant here.
 
If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send us a request at [email protected].
 
AppLovin will consider for employment all qualified applicants with criminal histories in a manner consistent with applicable law.  If you’re applying for a position in California, learn more here.
 
To support an efficient and fair hiring process, we may use technology-assisted tools, including artificial intelligence (AI), to help identify and evaluate candidates. All hiring decisions are ultimately made by human reviewers.

Please read our Global Applicant Privacy Notice to learn more about how AppLovin processes your personal information. 
 
 
 
 
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