Tech companies receive hundreds of applications per role. Whether you're applying to a FAANG company, a startup, or a mid-size SaaS company, your resume passes through an ATS before reaching anyone on the engineering team.
This guide covers exactly how to format and optimize your tech resume — with specific keyword lists, formatting rules, and real examples for software engineering, product management, data science, and design roles.
The Tech Resume Format That Passes ATS
Every tech resume should follow this structure:
- Header — Name, phone, email, LinkedIn, GitHub/portfolio
- Professional Summary — 2-3 sentences matching the role's key requirements
- Technical Skills — Organized by category
- Work Experience — Reverse chronological, impact-driven bullets
- Education — Degree, university, graduation year
- Certifications (if applicable) — AWS, GCP, PMP, etc.
Formatting Rules
- Single-column layout (no sidebars or multi-column designs)
- Standard fonts: Arial, Calibri, Inter, or Georgia
- 10-12pt body text, 14-16pt section headers
- Simple bullet points (• or –)
- No tables, text boxes, images, or icons
- 1-2 pages maximum (2 pages OK for 8+ years experience)
- Save as .docx or clean PDF
Technical Skills Section (by Role)
Your skills section is where ATS does the heaviest keyword matching. Organize by category:
Software Engineering
- Languages: Python, Java, TypeScript, JavaScript, Go, Rust, C++
- Frontend: React, Next.js, Vue.js, Angular, HTML/CSS, Tailwind CSS
- Backend: Node.js, Django, Flask, Spring Boot, FastAPI, Express.js
- Cloud & DevOps: AWS, GCP, Azure, Docker, Kubernetes, Terraform, CI/CD
- Databases: PostgreSQL, MySQL, MongoDB, Redis, DynamoDB, Elasticsearch
- Tools: Git, GitHub, Jira, Confluence, Datadog, Grafana
Data Science / ML Engineering
- Languages: Python, R, SQL, Scala
- ML/AI: TensorFlow, PyTorch, scikit-learn, Hugging Face, LangChain
- Data: Pandas, NumPy, Spark, Hadoop, dbt, Airflow
- Visualization: Matplotlib, Seaborn, Tableau, Power BI, Looker
- Cloud ML: AWS SageMaker, Google Vertex AI, Azure ML
Product Management
- Methodologies: Agile, Scrum, Kanban, Lean, Design Thinking
- Tools: Jira, Asana, Confluence, Figma, Miro, Notion, Amplitude
- Analytics: SQL, Mixpanel, Google Analytics, A/B Testing, Cohort Analysis
- Skills: Roadmap Planning, Stakeholder Management, User Research, PRDs, OKRs
Writing Impact-Driven Experience Bullets
The formula: Action Verb + Technical Scope + Measurable Result
Software Engineering Examples
- "Architected microservices migration from monolith, reducing API latency by 40% and eliminating $200K/year in infrastructure costs"
- "Built real-time data pipeline using Kafka and Spark, processing 2M+ events/day with 99.9% uptime"
- "Led adoption of CI/CD with GitHub Actions, reducing deployment time from 4 hours to 12 minutes"
- "Implemented comprehensive test suite (92% code coverage), reducing production bugs by 60% quarter-over-quarter"
Data Science Examples
- "Developed churn prediction model using XGBoost, improving retention by 23% and saving $1.2M annually"
- "Built recommendation engine serving 50M+ users, increasing click-through rate by 18%"
- "Created automated dashboards in Looker/Tableau, reducing reporting time by 80% across 5 business units"
Product Management Examples
- "Defined product roadmap for B2B SaaS platform serving 500+ enterprise clients, driving 35% ARR growth"
- "Led cross-functional team of 8 engineers + 2 designers through 0-to-1 feature launch, achieving 40% adoption in first month"
- "Conducted 50+ user interviews and A/B tests, improving onboarding completion by 28%"
Keyword Mapping: Job Description → Resume
Here's the process for maximum ATS alignment:
- Copy the full job description into a separate document
- Highlight every technical skill, tool, and qualification mentioned
- Count frequency — skills mentioned multiple times are higher priority
- Map each skill to your resume — where does it appear? If it doesn't, where can you add it authentically?
- Use both acronyms and full terms: "Amazon Web Services (AWS)," "Continuous Integration/Continuous Deployment (CI/CD)"
- Check with an ATS tool — run your tailored resume through FilteredIn to verify your match score
Mistakes Tech Candidates Make
1. Listing Every Technology You've Ever Touched
Don't list 40 technologies. Focus on 15-20 that are relevant to the role. A bloated skills section dilutes your keyword density and looks unfocused.
2. Using a Portfolio Template as Your Resume
Creative portfolio sites are great for design roles. But your actual resume submission should be a clean, parseable document — not a screenshot of your website.
3. Skipping the Summary
A strong 2-3 sentence summary gives ATS (and recruiters) immediate context: your experience level, primary expertise, and key achievement.
4. Not Tailoring Per Application
A job posting asking for "React and TypeScript" needs to see those exact words in your resume — even if you listed "frontend development" on your base resume.
5. Forgetting to Test
You wouldn't deploy code without testing. Don't submit a resume without checking it against the ATS. FilteredIn scans your resume against the job description using Anthropic Claude, showing you exactly what's missing and what to fix — for free or $2 for a full deep analysis.
Your Pre-Submission Checklist
- ☐ Single-column format, standard font, no graphics
- ☐ Technical Skills section organized by category
- ☐ Every bullet uses Action + Scope + Result formula
- ☐ Keywords from job description naturally integrated
- ☐ Both acronyms and full terms included
- ☐ 1-2 pages maximum
- ☐ ATS compatibility checked with FilteredIn
- ☐ Saved as .docx or clean PDF
Run your tech resume through FilteredIn's free ATS checker →