ATS Resume Checker for Software Engineers
If you apply to a mid-size or large tech company, your resume goes into Greenhouse, Lever, Ashby, or Workday before any engineer reads it. The first screen is a parser plus a recruiter keyword search — often run by someone non-technical matching literal strings like "TypeScript" or "Kubernetes". A strong resume can still lose that round to a scrambled two-column parse or an abbreviation nobody searches. Run yours through the checker below — it's free, instant, and never leaves your browser.
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How resume screening works for software engineers
Tech hiring runs on applicant tracking systems. Startups and scale-ups mostly use Greenhouse, Lever, or Ashby; enterprises run Workday, iCIMS, or SuccessFactors — and 97.8% of Fortune 500 companies use an ATS (Jobscan, 2025). When you apply, the system parses your resume into structured text, and at high-volume companies the first human pass is a recruiter or sourcer running keyword searches over that parsed text — not a hiring manager reading your PDF. If the parse is broken or the search terms aren't in it, your application sits unread no matter how good the work behind it was.
Keyword matching hits engineers harder than most roles because the searches are literal and the searchers are usually non-technical. A recruiter filling a platform role types "Kubernetes", "Terraform", "AWS" — they won't infer that your EKS migration implies all three, and they won't connect "Django" to a Python search. Variants matter too: "Go" vs "Golang", "Node" vs "Node.js", "K8s" vs "Kubernetes". The fix isn't keyword stuffing — it's making sure every technology you'd happily defend in an interview appears under its searchable name, ideally inside an experience bullet rather than only in a skills list.
Engineers also face a parsing problem most applicants don't: the templates. Two-column layouts, popular LaTeX designs, skill bars, and icon fonts are everywhere in tech and look sharp to humans — but parsers read top-to-bottom, left-to-right. Columns get merged, dates detach from jobs, and icon-rendered GitHub links vanish. What the recruiter sees inside the ATS is the parsed text, not your typography. The checker on this page shows you exactly that view before a real application is on the line.
Keywords recruiters search for software engineers
Include the terms you can genuinely defend in an interview — then paste the actual job posting above to see your exact gaps.
Python
The most-searched language string across backend, data, and ML reqs.
Java
Enterprise and fintech recruiters filter on it constantly; don't assume Spring implies it.
TypeScript
Searched separately from JavaScript — frontend and full-stack reqs name it explicitly.
JavaScript
List it alongside TypeScript; plenty of searches still use the older term.
React
Mirror the posting's spelling — recruiters type "React" far more often than "ReactJS".
Node.js
Searched with the dot; write "Node.js", not just "Node".
AWS (Amazon Web Services)
In most backend/platform reqs; name the services too — EC2, Lambda, S3, EKS.
Azure / Google Cloud (GCP)
Companies search their own cloud by name; AWS experience doesn't match an "Azure" filter.
Kubernetes
Spell it out at least once — "K8s" alone misses full-word searches.
Docker
The default proxy search for "knows containers"; cheap to include if true.
CI/CD
Searched as the literal string; back it with the tool — GitHub Actions, Jenkins, GitLab CI.
SQL / PostgreSQL
Recruiters search both the language and the engine in data-heavy roles.
REST API
Postings say "build APIs"; recruiters search "REST" and "API" as literal terms.
GraphQL
A differentiator search in frontend and full-stack pipelines.
Microservices
Common search for senior backend roles; pair it with the system you split or built.
Terraform
The infrastructure-as-code term recruiters actually type; "IaC" alone is ambiguous.
Go (Golang)
Include "Golang" once — recruiters search it to avoid matching the English word "go".
C# / .NET
Microsoft-stack recruiters search both terms; list each explicitly.
Spring Boot
Java reqs name the framework; it's searched as a two-word literal.
Kafka
Shorthand search for event-driven and streaming experience.
Distributed systems
Senior and staff-level searches use this exact phrase; use it where it's true.
LLM / GenAI
Increasingly searched in product reqs; name the stack (RAG, LangChain, model APIs) where real.
Agile / Scrum
Still a screening checkbox at enterprises and consultancies.
AWS Certified Solutions Architect
One of the few certs tech recruiters genuinely filter on, mainly for cloud/platform roles.
Resume mistakes that hurt software engineers
Two-column and LaTeX templates that scramble the parse
Popular engineering templates — two-column LaTeX designs, sidebar layouts, skill bars — often parse out of order: columns merge, dates detach from jobs, sections interleave. Use a single column with standard headings (Experience, Skills, Education) and check the parsed output, not the PDF.
Abbreviations with no full term anywhere
"K8s" but never "Kubernetes", "GCP" but never "Google Cloud", "JS/TS" as a pair. Keyword search is literal, so write the full term once with the abbreviation beside it: "Kubernetes (K8s)", "Go (Golang)".
A 40-item skills dump with zero context
Listing every technology you've ever touched dilutes the ones that matter and sets you up to fail the technical screen. Keep the skills section tight and put your core stack inside experience bullets, where recruiters and ranking algorithms weigh it more.
Duty bullets instead of outcomes
"Responsible for maintaining backend services" tells a reviewer nothing. Lead with what changed because of your work — latency, cost, reliability, deploy frequency — and name the stack you used to do it.
Nonstandard job titles
"Member of Technical Staff", "Code Wizard", or a bare "Tech Lead" won't match searches for "Software Engineer". Keep the official title but add a standard equivalent: "Member of Technical Staff (Senior Software Engineer)".
Links and contact info trapped in headers, footers, or icons
Many parsers skip header/footer regions and drop icon-rendered links entirely — which is exactly where templates put your email and GitHub. Keep contact details and plain-text URLs in the document body.
Before / after: bullets that survive the skim
Responsible for maintaining backend services and fixing bugs.
✍️ Rebuilt the order-processing service in Go, cutting p95 latency from 800ms to 220ms and absorbing 3x peak traffic during seasonal sales without added infrastructure.
Worked on frontend development using React.
✍️ Led migration of a 120-component dashboard to React 18 with TypeScript, reducing bundle size by 35% and cutting reported UI crashes roughly in half over two quarters.
Helped with the CI/CD pipeline and deployments.
✍️ Built a GitHub Actions CI/CD pipeline with parallelized test stages and preview environments, cutting average deploy time from 45 to 9 minutes for a 12-engineer team.
Frequently asked questions
Is a LaTeX resume ATS-friendly?
LaTeX itself isn't the problem — a single-column LaTeX PDF with standard section headings usually parses cleanly. The trouble comes from multi-column layouts, sidebars, and custom icon fonts common in popular templates. Run your PDF through the checker above: if your jobs, dates, and skills come out in the right order as plain text, you're fine.
Should I write "React" or "ReactJS" — do keyword variants matter?
Yes, because ATS keyword search is mostly literal string matching. Mirror the spelling used in the job posting. The safe pattern is to include the full term and the common abbreviation once each: "Kubernetes (K8s)", "Amazon Web Services (AWS)", "Go (Golang)", "Node.js".
Does my GitHub or portfolio link help me pass ATS screening?
The ATS doesn't score it, but recruiters who open your profile often click it — and a good GitHub or portfolio can carry a borderline application. Put it as a plain-text URL in the body of the resume, not as an icon or a header element, so it survives parsing.
How long should a software engineer resume be?
An ATS won't reject you for length — that's a human concern. One page is the norm under roughly five years of experience; two pages is normal and expected for senior, staff, and management-track roles. Cut decade-old stacks and early-career detail before shrinking fonts or margins.