When a recruiter opens their applicant tracking system to fill an engineering role, they don't read resumes — they run searches. The search terms come straight from the job description: languages, frameworks, practices, cloud platforms. If those exact words aren't on your resume, you're not in the results, no matter how good you are. (Here's how that screening actually works.)
Below are the keywords that come up again and again in 2026 software engineering postings, grouped by category. The rule for using them is absolute: only claim what you can defend in an interview. This is a menu for describing real experience precisely, not a list to paste.
Languages
Python · TypeScript · JavaScript · Java · Go · C# · C++ · Rust · Kotlin · Swift · SQL
Note the pairs: if a posting says TypeScript and your resume only says JavaScript, a strict keyword search misses you. Where both are true, write both once: "TypeScript (JavaScript)".
Frameworks and runtimes
React · Next.js · Node.js · Spring Boot · .NET · Django · FastAPI · Ruby on Rails · Angular · Vue
Cloud and infrastructure
AWS · GCP · Azure · Kubernetes (K8s) · Docker · Terraform · CI/CD · GitHub Actions · Jenkins · serverless · Linux
Postings rarely say just "cloud" — they name the provider. Name yours, and name the services if they match the posting ("AWS (Lambda, S3, RDS)").
Data and messaging
PostgreSQL · MySQL · MongoDB · Redis · Kafka · Elasticsearch · GraphQL · REST APIs · gRPC
Practices and architecture
system design · microservices · distributed systems · unit testing · TDD · code review · observability · monitoring · performance optimization · scalability · security · Agile · Scrum
These matter more than juniors expect: "code review", "on-call", and "monitoring" are searched because they signal production experience, not classroom experience.
The AI-era additions
LLM integration · OpenAI/Anthropic APIs · RAG (retrieval-augmented generation) · vector databases · prompt engineering · AI agents · LangChain
In 2026 these appear in a striking share of product-engineering postings. If you've genuinely shipped an LLM feature — even a small one — say so with the posting's vocabulary. If you haven't, don't bluff: this is currently the most interview-probed area of all.
Where the keywords go
- Headline: the target title, matching the posting — "Senior Software Engineer", "Backend Engineer", "Full-Stack Developer". Titles are the most-searched field of all.
- Skills section: the posting's hard skills you actually have, spelled the posting's way. Keep it boring and scannable — this section exists for the parser.
- Bullets: keyword + scale + outcome. The keyword gets you found; the number gets you called.
Three bullets showing the pattern:
- "Built payment microservices in Go on Kubernetes, processing 2M transactions/day at p99 under 120ms."
- "Cut release time from 2 days to 3 hours by rebuilding CI/CD in GitHub Actions with automated integration tests."
- "Shipped a RAG-based support assistant (Python, PostgreSQL + pgvector) that deflected 30% of tier-1 tickets."
Engineer-specific ATS notes
- Link your GitHub in the contact line — as plain text, in the body of the document, not a header graphic.
- Skip the icon-and-columns template. Engineering resumes suffer the most from over-designed layouts because they carry the most parseable detail. One column, standard headings, selectable text.
- Match the posting's altitude. A startup posting says "ship fast", "full-stack", "ownership"; an enterprise one says "SDLC", "cross-functional", "operational stability". Same skills, different vocabulary — mirror the one in front of you (the 10-minute tailoring method).
The honest shortcut
The real work isn't knowing this list — it's checking your resume against each specific posting's version of it, application after application. That per-posting check is what Coverpilot automates: open the posting, click once, and see which of its keywords your resume already covers and which are honestly missing. Fix the gaps, then apply.