Software Engineering
Technical skills are the primary evaluation criterion. Group by category — Languages, Frameworks, Databases, Infrastructure, Tools. Use exact names with correct capitalization: "JavaScript" not "javascript," "PostgreSQL" not "postgres."
| Category | Examples | Notes |
|---|---|---|
| Languages | Python, JavaScript, TypeScript, Go, Java, C++, Rust, Swift, Kotlin, Ruby | List only languages you have used in production or substantive projects |
| Frontend frameworks | React, Vue, Angular, Next.js, Svelte | Include version if significantly different from current (React 18 vs React 15) |
| Backend frameworks | Node.js, Django, FastAPI, Spring Boot, Rails, Express, NestJS | — |
| Databases | PostgreSQL, MySQL, MongoDB, Redis, DynamoDB, Snowflake, BigQuery, Elasticsearch | Distinguish SQL vs NoSQL exposure if relevant |
| Cloud / Infrastructure | AWS, GCP, Azure, Kubernetes, Docker, Terraform, Ansible, CI/CD (GitHub Actions, Jenkins) | Specify cloud provider — "AWS" not "cloud" |
| AI / ML (if applicable) | PyTorch, TensorFlow, scikit-learn, LangChain, Hugging Face, OpenAI API | Include only if genuinely used — not for keyword stuffing |
| Tools | Git, GitHub, Jira, Datadog, Sentry, Figma (for design collab), Postman | — |