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Tech Modern
Free Template

Tech Modern

Two-columnModernDeveloperData scienceTechnical PMDark sidebar

Two-column with a dark teal sidebar and skills grid; modern feel for developers, data scientists, or technical PMs.

Why the Tech Modern Layout Works

Minimal design signals modern engineering capability without sacrificing ATS readability

Clear skills grid lets search engines instantly index technical keywords

Generous single-column focus is favored by recruiters at top tech firms

Prominently displays portfolio, GitHub, and open-source contribution links

Common Pitfall to Avoid

Avoid listing outdated technologies (e.g., Flash, ColdFusion) or using vague categories. Group skills clearly by Languages, Frameworks, and Tools.

Who Should Use This?

Software engineers, data scientists, DevOps specialists, QA automation engineers, and technical product managers who need to showcase technical skills and portfolios.

Recommended Job Roles:

Frontend/Backend/Full-Stack EngineerData Scientist / Data EngineerDevOps / SREQA / Test Automation EngineerTechnical Product Manager

What's Included in This Template

The Tech Modern architecture contains all essential sections designed to satisfy human recruiters and parsing bots alike.

Header with portfolio, GitHub, and LinkedIn links
Technical summary (highlighting years of experience and core technologies)
Structured Technical Skills section
Professional Experience (focused on performance and scale)
Projects / Open Source section

ATS Optimization Guidelines

01

Format Skills by Category

Languages: Python, Go; Frameworks: React, FastAPI; Databases: PostgreSQL; Cloud: AWS.

02

Write Scale-Focused Bullets

Mention transaction volume, query latency reductions, or team size: e.g., 'Processed 1M+ daily transactions with 99.9% uptime'.

03

Link to Open Source & Projects

Include direct links to GitHub repositories or live demos, detailing your specific contribution.

Write Impactful Bullet Points

An ATS checks keywords, but human hiring managers check metrics. Use this before/after formula to rewrite your experience.

Quantifying Impact

Weak: Worked on backend system for payment processing

Strong: Architected and deployed payment processing microservice in Python (FastAPI) on AWS Lambda, reducing transaction latency by 40% and handling 1M+ daily transactions

Before & After Optimizations

Before: Used React to update UI

After: Re-architected legacy React application utilizing state-management optimizations; improved First Contentful Paint (FCP) by 1.2s

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