Software Engineer Resume Builder
Create a tech resume that gets you interviews at FAANG, startups, and top tech companies. Optimized for ATS with special sections for projects, technical skills, and GitHub integration.
Built for Software Engineers
Tech Stack Showcase
Dedicated sections for programming languages, frameworks, tools, and technologies.
Project Portfolio
Highlight your best coding projects with GitHub links, tech stack, and impact metrics.
FAANG-Optimized
Templates and content proven to work at Google, Meta, Amazon, Apple, and Microsoft.
System Design Experience
Showcase architecture decisions, scalability improvements, and technical leadership.
Achievement Metrics
Quantify your impact with performance improvements, cost savings, and user growth.
ATS-Optimized
Pass technical recruiter screening with proper keywords and clean formatting.
What Makes a Great Software Engineer Resume?
Essential Sections
Technical Skills
- • Programming Languages (by proficiency)
- • Frameworks & Libraries
- • Databases & Cloud Platforms
- • Development Tools & CI/CD
Projects Portfolio
- • Project name & description
- • Technologies used
- • Your specific contributions
- • Measurable results/impact
Work Experience
- • Company, role, dates
- • Technologies & stack used
- • Key technical achievements
- • Quantified impact (%, $, users)
Education & Certifications
- • Degree, Major, University
- • Relevant coursework (if recent grad)
- • Technical certifications (AWS, etc.)
- • Hackathon wins & achievements
Pro Tips for Software Engineers
- • Use action verbs: "Architected", "Implemented", "Optimized", "Scaled"
- • Quantify everything: "Reduced load time by 40%", "Handled 1M requests/day"
- • Include GitHub profile with pinned repositories showcasing best work
- • Tailor tech stack to job description (full-stack vs backend vs frontend)
- • Show progression: junior → mid → senior responsibilities
Sample Achievement Bullets for Software Engineers
Architected and deployed microservices infrastructure using Docker & Kubernetes, reducing deployment time by 60% and improving system uptime to 99.9%
Implemented real-time data processing pipeline using Apache Kafka, handling 5M+ events daily with <100ms latency
Led migration from monolithic architecture to microservices, reducing technical debt by 40% and enabling 10x faster feature deployment
Optimized database queries and implemented caching strategy (Redis), improving API response time from 2s to 200ms
Built CI/CD pipeline with GitHub Actions and automated testing, increasing deployment frequency from weekly to daily releases
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