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 .

Streaming Operations Engineer

Netflix · London, United Kingdom

London,United Kingdom

Netflix is one of the world's leading entertainment services, with over 300 million paid memberships in over 190 countries enjoying TV series, films and games across a wide variety of genres and languages. Members can play, pause and resume watching as much as they want, anytime, anywhere, and can change their plans at any time.

About the role

In this role, you will manage day-to-day global live-streaming operations for Netflix. As a Streaming Operations Engineer, you will play a pivotal role in ensuring the seamless execution of live streaming events. You will work closely with Broadcast Operations Engineers, focusing on our live streaming stack, including cloud acquisition components, encoders, packagers, and our cloud origin. Your primary responsibility will be to manage and optimize the cloud-based infrastructure that supports live shows, ensuring high-quality streaming experiences for our audience.

You will impact multiple areas of the live event lifecycle, from the pitch & planning phase to testing and event launch days. You will lead innovation initiatives that bridge the gap between production, hardware, broadcast engineering, and our software engineering teams.

Responsibilities

  • Collaborate with Broadcast Operations Engineers and other stakeholders to coordinate and execute live streaming events.

  • Manage and optimize cloud-based streaming infrastructure, including cloud acquisition, encoding, packaging, and origin services.

  • Troubleshoot, diagnose, and resolve issues related to cloud-based streaming components.

  • Monitor live streaming events to ensure high-quality delivery and promptly address technical issues.

  • Work closely with the Live Streaming Pipeline Engineering Team and Reliability Engineering teams to develop and implement technical plans for live events.

  • Lead innovation initiatives to enhance the live streaming stack, bridging the gap between cloud technologies and production requirements.

  • Stay updated with emerging technologies and trends in the streaming industry to keep our live streaming capabilities at the cutting edge.

  • Support new feature development by understanding its impact on live streaming operations and ensuring scalability.

  • Be present at the Network Operations Center (NOC) or remotely as required during live event launches.

  • Work flexible hours to accommodate the live events schedule.

Qualifications

  • 5+ years of broadcast remote operations experience (preferably network level) in a coordination or supervisory role 

  • Strong understanding of digital audio/video fundamentals, compression technologies, distribution formats, and associated technologies such as Multicast and Unicast video distribution, MPEG Video (2,4, & HEVC), MPEG-2 TS, HDR, SCTE-35 & ESNI signaling, closed-captions, satellite video distribution, and ad-splicing.

  • Experience with video transport protocols such as SDI, SMPTE-2110, RTP, RTMP, SRT, Zixi, RIST, HLS, MPEG-DASH

  • Proficient in Video and Audio Compression technology

  • Deep understanding of MVPD-based linear ecosystem and working knowledge of OTT video distribution, contribution technology, and architecture

  • Ability to assess and troubleshoot video and audio quality

  • Experience with on-premise video acquisition with partners or co-location facilities.

Nice to have

  • Experience with cloud-based infrastructure

  • Experience with at least one programming language (Java, Go, Python)

  • Experience in Unix (or unix-based systems), shell scripting, and good SQL knowledge

  • Experience with web technologies and distributed systems with microservices architecture

Inclusion is a Netflix value and we strive to host a meaningful interview experience for all candidates. If you want an accommodation/adjustment for a disability or any other reason during the hiring process, please send a request to your recruiting partner.

We are an equal-opportunity employer and celebrate diversity, recognizing that diversity builds stronger teams. We approach diversity and inclusion seriously and thoughtfully. We do not discriminate on the basis of race, religion, color, ancestry, national origin, caste, sex, sexual orientation, gender, gender identity or expression, age, disability, medical condition, pregnancy, genetic makeup, marital status, or military service.