SDET Resume Mastery Pack 2026 — Complete System

94% of SDET resumes are filtered by ATS before a human ever reads them.

Not because of weak skills. Because of fixable, avoidable errors — in formatting, keywords, bullet structure, and positioning.

This is the complete system I built after 11 years and 2,000+ resume reviews across Druva, Cornerstone OnDemand, GS Lab, and Johnson Controls.

⭐⭐⭐⭐⭐ What buyers are saying:

"Rewrote 4 bullets using the formula. Got 3 interview calls in 10 days." "The ATS checklist alone is worth more than the price. Found 6 formatting errors I had no idea about." "The keyword audit told me exactly what was missing from my resume for Playwright roles."

📦 What's inside the bundle:

→ 12-Page Resume Mastery PDF — The 8-step formula, Before/After bullet rewrites, the 10 mistakes framework, 2026 keyword architecture, ATS rules, and a Quick Reference Card

→ Interactive HTML Builder — Live browser tool with ATS scorer, keyword gap checker, bullet quality tester, and formatting validator. No install. Works instantly.

→ Master Google Sheets Checklist — 274 items across 7 modules: Resume (68 checks), GitHub (32), LinkedIn (41), ATS Optimisation (28), Keyword Audit (85 keywords), Bullet Rewriter with 10 scored examples, and a full Application Tracker for 200 roles

→ Quarterly Updates — Q2, Q3, Q4 2026 updates emailed to you as the market shifts

🎯 Who this is for:

→ SDETs with 2–15 years of experience not getting callbacks despite strong skills

→ Automation engineers switching stacks (Selenium → Playwright, Java → Python)

→ Senior SDETs targeting Principal / Lead / Architect roles in 2026

→ Freshers building their first SDET portfolio from scratch

🚀 Results you can expect:

→ ATS match score above 75% on Jobscan within 1 hour of implementing

→ Resume ready to submit within a weekend

→ LinkedIn profile optimised for recruiter search within 2 hours

👤 About the author:

Souvik — Principal SDET with 11+ years across Druva, Cornerstone OnDemand, GS Lab, and Johnson Controls. Specialisation in AI-driven test automation, Playwright, Pytest, and CI/CD architecture.