ATS Resume Keywords for Software Engineers: What to Include and Why

Software engineering roles get a high volume of applications. Most companies hiring at scale use ATS systems — Workday, Greenhouse, Lever, iCIMS, Taleo — that filter resumes before a recruiter opens them. Those systems match the text of your resume against the text of the job description.

The issue is not that you lack the skills. The issue is that the exact string your resume uses and the exact string the job description uses may not match, and the system scores them as a gap.

This guide covers the keywords that actually matter for software engineering roles, organised by specialisation, and explains how to use them correctly.

---

The abbreviation problem

Before the keyword lists: this is the most common and easiest mistake to fix.

ATS systems vary in how they handle abbreviations. Lever understands word stems but will not expand "JS" to "JavaScript." Taleo treats them as completely different strings. iCIMS rewards exact terminology over abbreviations.

The safest approach: write the full term and the abbreviation together, at least once.

• "JavaScript (JS)" not just "JS"
• "User Experience (UX)" not just "UX"
• "Search Engine Optimization (SEO)" not just "SEO" — if the role involves SEO
• "Continuous Integration / Continuous Deployment (CI/CD)" not just "CI/CD"
• Certification names in full: "Amazon Web Services (AWS)" not just "AWS"

Once you have written the full term, using the abbreviation elsewhere in the resume is fine. The full-form version is what the search needs to find.

---

Core keywords that apply across most software engineering roles

These appear consistently in job descriptions regardless of specialisation:

Process and methodology Agile, Scrum, sprint planning, retrospectives, code review, pull requests, technical documentation, cross-functional collaboration, requirements gathering, software development lifecycle (SDLC)

Architecture and systems thinking System design, distributed systems, microservices, RESTful APIs, API design, scalability, performance optimization, fault tolerance

Engineering practices Test-driven development (TDD), unit testing, integration testing, continuous integration, continuous deployment, version control, Git

Collaboration tools (include only ones you have actually used) Jira, Confluence, GitHub, GitLab, Bitbucket, Slack, Notion

---

Frontend

If the role specifies React, your resume should say React — not "component-based UI framework" or "modern JavaScript library." If the description uses "TypeScript" and your resume says "typed JavaScript," those are different strings to most parsers.

Languages and frameworks JavaScript, TypeScript, React, Vue.js, Angular, Next.js, Svelte, HTML5, CSS3, Sass, Tailwind CSS

State and data Redux, Zustand, React Query, GraphQL, REST APIs, Axios, Fetch API

Build and tooling Webpack, Vite, Babel, ESLint, Prettier, Jest, React Testing Library, Playwright, Cypress

Concepts Responsive design, cross-browser compatibility, accessibility (WCAG), web performance, Core Web Vitals, progressive web apps (PWA), server-side rendering (SSR)

---

Backend

Exact framework names matter here more than anywhere. "Python web framework" does not match "Django." "Java backend development" does not match "Spring Boot."

Languages Python, Java, Go, Node.js, Ruby, C#, Rust, Kotlin, PHP

Frameworks Django, FastAPI, Flask, Spring Boot, Express.js, NestJS, Ruby on Rails, ASP.NET

Databases PostgreSQL, MySQL, SQLite, MongoDB, Redis, Elasticsearch, DynamoDB, Cassandra

Concepts RESTful APIs, GraphQL, gRPC, message queues, event-driven architecture, caching, database indexing, query optimization, authentication, authorisation, OAuth, JWT

---

Fullstack

For fullstack roles, list both frontend and backend keywords where genuine. The job description will indicate which stack the company uses — match it specifically.

Commonly searched combinations MERN stack (MongoDB, Express, React, Node.js), MEAN stack, React + Node.js, Python + React, Ruby on Rails + React, Next.js + PostgreSQL

---

DevOps and Cloud

This is the area where abbreviation problems are most costly. "AWS" and "Amazon Web Services," "K8s" and "Kubernetes," "GCP" and "Google Cloud Platform" — write both in the same document.

Cloud platforms Amazon Web Services (AWS), Microsoft Azure, Google Cloud Platform (GCP)

Specific services (include only those genuinely used) EC2, S3, Lambda, RDS, EKS, CloudFormation, Azure DevOps, GKE, BigQuery, Cloud Run

Containers and orchestration Docker, Kubernetes, Helm, container registries

CI/CD and automation GitHub Actions, Jenkins, CircleCI, GitLab CI, Terraform, Ansible, infrastructure as code (IaC)

Monitoring and observability Datadog, Prometheus, Grafana, ELK Stack, PagerDuty, distributed tracing

---

Data and Machine Learning

Data science and ML roles are particularly keyword-specific because hiring managers and ATS configurations often filter on exact tool names.

Languages and libraries Python, R, SQL, Pandas, NumPy, Matplotlib, Seaborn, Scikit-learn, TensorFlow, PyTorch, Keras, XGBoost

Data platforms Apache Spark, Hadoop, Hive, dbt, Airflow, Snowflake, BigQuery, Redshift, Databricks

Concepts Machine learning, deep learning, natural language processing (NLP), computer vision, feature engineering, model training, model deployment, MLOps, A/B testing, statistical modeling, regression, classification, clustering

---

Mobile

iOS and Android development have distinct keyword sets. If you work on both, list each platform's stack explicitly.

iOS Swift, SwiftUI, UIKit, Xcode, Core Data, AVFoundation, TestFlight, App Store Connect

Android Kotlin, Java, Android Studio, Jetpack Compose, Room, Retrofit, Gradle, Google Play Console

Cross-platform React Native, Flutter, Dart, Expo, Firebase

---

How to actually use these keywords

The keyword list is not a checklist to paste into your skills section. It is a reference for auditing your resume against a specific job description.

Step 1. Read the job description and identify the 8 to 12 terms that appear in the requirements section or appear more than once.

Step 2. Check your resume for those exact terms. Not synonyms — the exact strings.

Step 3. For terms you have genuine experience with but have not used in your resume, add them. The natural locations are: your skills section, your summary, and the experience bullets where the skill was actually used.

Step 4. Write out abbreviations in full alongside the short form, at least once.

Step 5. Do not add keywords for skills you do not have. ATS filters the resume; the interview filters you. A keyword added dishonestly gets you a conversation you cannot sustain.

---

For the full method on keyword selection across any role type, see how to find the right keywords for your resume. Doing this analysis manually for every application takes time. PassATS runs your resume and the specific job description through an automated match — shows you which keywords you have, which you are missing, and produces a rewritten resume with the gaps addressed.

Try it free — one full analysis, no credit card required