Resume Keywords for Tech Jobs: The Complete 2026 List

Updated March 2026 · 10 min read

Tech job postings are packed with specific terminology that ATS software scans for. Using the right keywords can mean the difference between your resume landing in the "yes" pile or disappearing into the ATS void. Below are the most in-demand keywords for major tech roles in 2026.

Software Engineering

Languages: Python, JavaScript, TypeScript, Java, Go, Rust, C++, C#, Ruby, Swift, Kotlin, SQL

Frameworks: React, Next.js, Node.js, Django, Spring Boot, Angular, Vue.js, FastAPI, .NET

Tools: Git, Docker, Kubernetes, Terraform, AWS, Azure, GCP, CI/CD, GitHub Actions, REST API, GraphQL, microservices

Practices: Agile, Scrum, TDD, code review, system design, distributed systems, performance optimization

Data Science & Analytics

Technical: machine learning, deep learning, NLP, computer vision, statistical modeling, A/B testing, data mining, feature engineering, model deployment

Tools: TensorFlow, PyTorch, scikit-learn, Pandas, Spark, Tableau, Power BI, Snowflake, BigQuery, dbt, Databricks

Skills: predictive modeling, regression, classification, clustering, time series, data visualization, ETL, data pipeline

Product Management

Core: product roadmap, user stories, product strategy, go-to-market, product-market fit, backlog management, sprint planning, stakeholder management, cross-functional leadership

Metrics: OKRs, KPIs, DAU/MAU, retention rate, conversion rate, NPS, churn, LTV, CAC, ARR

Tools: Jira, Confluence, Figma, Amplitude, Mixpanel, Linear, Notion

Don't guess which keywords matter: Our free ATS checker extracts the exact keywords from any job posting and tells you which ones your resume is missing.

DevOps & Cloud Engineering

Platforms: AWS (EC2, S3, Lambda, EKS), Azure (AKS, DevOps), GCP (GKE, Cloud Run), multi-cloud

Tools: Docker, Kubernetes, Terraform, Ansible, Helm, ArgoCD, Jenkins, Prometheus, Grafana, DataDog, ELK Stack

Practices: CI/CD, infrastructure as code (IaC), site reliability engineering (SRE), monitoring, observability, incident response, autoscaling

Cybersecurity

Skills: threat detection, vulnerability assessment, penetration testing, incident response, SIEM, SOC, risk assessment, network security, cloud security, zero trust

Frameworks: NIST, ISO 27001, SOC 2, MITRE ATT&CK, OWASP, PCI DSS, HIPAA, GDPR

Certs: CISSP, CEH, CompTIA Security+, OSCP, CISM, AWS Security Specialty

AI & Machine Learning Engineering

Core: large language models (LLMs), transformer architecture, fine-tuning, RAG, prompt engineering, MLOps, model serving, inference optimization, embeddings, vector databases

Tools: OpenAI API, Hugging Face, LangChain, Pinecone, vLLM, Weights & Biases, MLflow, Kubeflow

How to Use These Keywords

MATCH YOUR RESUME TO ANY TECH JOB

Paste your resume and the job posting. See which tech keywords you're hitting and which you're missing.

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