Guide

Software engineers get filtered by ATS too — even with strong experience

You built distributed systems. You've shipped production code. But if the job description says "Kubernetes" and your resume says "container orchestration", the ATS might score you below someone who just listed the buzzword. Here's how to fix it.

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SWE keyword gaps that get you filtered out

  • Language precision: JD says "Go" or "Golang" — your resume says "backend services". If you know Go, write Go.
  • Infrastructure terms: "Kubernetes" not "container orchestration", "Terraform" not "infrastructure automation", "Helm charts" not "deployment configs"
  • System design language: JDs increasingly include "distributed systems", "event-driven architecture", "microservices" — these are keyword-scanned
  • Observability: "Datadog", "OpenTelemetry", "Prometheus" — not "monitoring tools" or "logging infrastructure"
  • CI/CD specificity: "GitHub Actions", "CircleCI", "ArgoCD" — not "automated deployment pipelines"

Real gap example: senior backend role

Job description says: "Experience with Go or Rust, Kubernetes-based deployments, and building high-throughput event-driven systems using Kafka."

Your resume says: "Designed and deployed high-performance backend services handling millions of requests, using modern containerization and message queuing systems."

You probably used all those tools. But "Go", "Kubernetes", and "Kafka" aren't in your resume — and you're competing against someone whose resume does have those words, even if their experience is weaker.

What Touchdwn flags for SWE resumes

Resume vs. Senior Backend Engineer (Go/K8s)
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
Match Score: 54%

✅ Found in your resume:
   AWS, Python, REST APIs, microservices,
   PostgreSQL, distributed systems

❌ Missing keywords:
   Go, Kubernetes, Kafka, Terraform,
   Helm, event-driven architecture,
   OpenTelemetry, gRPC

⚠️  Synonym gaps:
   "message queuing" → Kafka
   "container orchestration" → Kubernetes
   "infrastructure automation" → Terraform

Add 8 terms to reach ~82% match score.

How to close SWE keyword gaps honestly

  • List every language and framework you've used — don't assume "backend" implies Go or Rust
  • Name the specific tools: Kubernetes, not "container orchestration"; Kafka, not "event streaming"; Datadog, not "observability platform"
  • Add a technical skills section and keep it updated per job family
  • Use Touchdwn to scan before every application — senior SWE roles often have very specific stacks and the keyword bar is high
  • Don't invent skills you don't have — but do use the exact terms for skills you genuinely have

Check your SWE resume now

Paste your resume and the job description. Touchdwn shows you exactly which tech terms are missing so you can fix it before submitting.

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