The obvious resume keywords are obvious to everyone. Of course you include "React" if you're a React developer, and "Python" if you write Python. What most resume keyword guides miss are the second-order keywords — the terms that signal you understand how modern software is built, not just that you know a language or framework.
This guide focuses on the non-obvious keywords: the ones that separate candidates who know a tool from candidates who understand the engineering discipline around it.
Why Keywords Are Different in 2025
Two things changed how ATS keyword matching works:
-
Modern ATS systems use semantic matching, not just literal string matching. "Kubernetes" and "K8s" are now understood as equivalent. But this also means nuanced phrasing matters — "observability" and "monitoring" are related but not identical in semantic weight.
-
Human reviewers have changed their filters. Senior engineers doing resume screening increasingly look for systems thinking signals — keywords that indicate you understand how software runs in production, not just how it's written.
The combination means: broad technical keywords get you through ATS, but engineering-discipline keywords impress the humans.
Category 1: Infrastructure and Reliability Keywords
These keywords are underrepresented on most developer resumes but heavily weighted by infrastructure-aware hiring managers.
## Skills (infrastructure-aware example)
**Reliability:** SLO/SLA management, incident response, on-call, post-mortem, error budget
**Observability:** distributed tracing, OpenTelemetry, structured logging, Prometheus, Grafana
**Infrastructure:** infrastructure as code (IaC), Terraform, GitOps, Helm, ArgoCD
**Deployment:** blue/green deployment, canary releases, feature flags, rollback strategy
Why these work:
- "SLO/SLA management" signals that you think about reliability in business terms, not just technical uptime
- "Post-mortem" signals a blameless culture awareness — a flag for culture fit at modern engineering orgs
- "OpenTelemetry" is the current standard for observability instrumentation — more specific than just "tracing"
- "GitOps" is a hiring filter at companies running Kubernetes at scale
Category 2: Engineering Process Keywords
These appear in job descriptions at companies with mature engineering cultures and are almost never on junior-to-mid resumes.
**Practices:** code review, pair programming, test-driven development (TDD), RFC process,
architectural decision records (ADR), technical design document (TDD), trunk-based development
Specific signal improvements:
Weak (assumed, not a differentiator):
- Used Git for version control
Strong (process-aware):
- Championed trunk-based development across a 12-person team, reducing integration conflicts and enabling daily deploys
Weak:
- Wrote tests for new features
Strong:
- Practiced test-driven development (TDD) on all new feature work; maintained 85% code coverage across core service
Category 3: Security Keywords (Underused by Most Developers)
Security is now a baseline expectation at most companies, but most developer resumes have zero security-related keywords. Adding even two or three immediately differentiates you.
**Security:** OWASP Top 10, secure coding practices, secrets management (Vault, AWS Secrets Manager),
dependency scanning, SAST, container image scanning, principle of least privilege
In context:
- Implemented secrets rotation using AWS Secrets Manager, eliminating hardcoded credentials across 8 services
- Integrated Snyk dependency scanning into CI pipeline, resolving 24 high-severity vulnerabilities in legacy dependencies
You don't need to be a security engineer to use these keywords. If you've ever rotated a secret, audited dependencies, or thought about SQL injection in your code, you have security experience worth mentioning.
Category 4: Collaboration and Communication Keywords
These are the keywords that hiring managers add to job descriptions when they've been burned by technically strong engineers who couldn't work with others. They're filtered on resume screening but rarely written out explicitly by candidates.
**Collaboration:** async communication, cross-functional collaboration, stakeholder communication,
technical documentation, knowledge sharing, engineering mentorship, code review culture
In resume bullets:
- Wrote and maintained team's engineering runbook, reducing incident resolution time by 30%
- Hosted bi-weekly tech talks on distributed systems topics — 15 recorded sessions now part of onboarding
- Mentored 2 junior engineers from onboarding to independent feature ownership within 4 months
The keyword "onboarding" appearing in a bullet point about mentorship signals cultural contribution, not just individual technical output.
Category 5: 2025-Specific Keywords You Should Be Adding Now
These are terms that appeared in a small minority of job descriptions two years ago and now appear in the majority of mid-to-senior engineering roles.
**AI/ML Integration:** LLM integration, RAG (retrieval-augmented generation), vector databases,
embedding models, prompt engineering, AI-assisted development, GitHub Copilot, Cursor
You don't need to be an AI engineer. But if you've built anything with an LLM API, used vector search, or integrated an AI tool into a workflow, include it:
- Built an internal documentation search tool using RAG architecture (OpenAI Embeddings + Pinecone), reducing support ticket volume by 25%
- Integrated GitHub Copilot into team workflow and wrote guidelines for effective prompt engineering in code review — adopted by 8-person team
Platform engineering keywords:
developer experience (DevEx), internal developer platform (IDP), platform as a product,
self-service infrastructure, golden path templates
Cost awareness keywords:
cloud cost optimization, FinOps, cost per request, resource right-sizing, spot instances
Companies are now explicitly filtering for engineers who think about infrastructure costs:
- Reduced AWS spend by $18k/month by right-sizing EC2 instances and migrating batch jobs to Spot
Keywords by Seniority Level
The same technology can be mentioned at different levels of depth. Calibrate accordingly.
Junior level — demonstrate you know the tool:
- Used GitHub Actions to set up CI pipeline running Jest tests on every PR
Mid level — demonstrate you own the tool:
- Designed and maintained GitHub Actions CI/CD pipeline with parallel test execution, reducing feedback time from 12 minutes to 4 minutes
Senior level — demonstrate you shaped the practice:
- Established CI/CD standards for 6 teams using GitHub Actions, including required checks, deployment gates, and rollback automation — reduced production incidents by 40%
The keyword is the same ("GitHub Actions") but the depth signal changes completely.
How to Add Keywords Without Keyword-Stuffing
The risk with keyword lists is padding your resume with terms you can't support in an interview. The right approach:
- Only include keywords you can discuss for 5 minutes. If you can't explain what OpenTelemetry does and why you used it, don't list it.
- Anchor every keyword in a bullet point. A keyword in your skills section with no bullet evidence looks decorative.
- Use exact phrasing from the job description. "Infrastructure as Code" vs "IaC" vs "infrastructure automation" — match the JD's phrasing.
Frequently Asked Questions
Q: How many skills should my skills section have?
Enough to cover the job description requirements, not more. A skills section with 40+ items is harder to scan than one with 20 well-grouped terms.
Q: Should I separate skills I know well from skills I know superficially?
Yes. Using a "Familiar" or "Learning" category prevents you from being asked interview questions about tools you barely know.
Q: Do recruiters actually read the skills section?
ATS systems do. Human recruiters scan it as a quick filter. Engineers reading your resume for a technical screen look at it as a preview of the interview. All three audiences matter.
Q: Is it worth customizing keywords for every application?
For roles you care about: yes. 15 minutes of keyword alignment meaningfully improves ATS scoring. See the tailoring guide for a step-by-step process.
Q: My company uses internal tools with no recognizable names. How do I translate them on my resume?
Describe the tool by its function and category: "Internal event streaming platform (Kafka-based)" or "Proprietary ML feature store (similar to Feast)." This gives ATS systems the keyword and gives human reviewers the context.
The non-obvious keywords are non-obvious because they require you to have actually thought about engineering discipline, not just tool usage. If you have the experience, surface it. If you don't yet, build toward it — and add those keywords as you genuinely earn them.