Did you know most companies use an ATS (Applicant Tracking System) to scan resumes before a human ever sees them? These systems automatically filter out candidates based on keywords, formatting, and structure. Here’s how to make sure your resume gets through the filter: 🧩 1. Use Keywords Strategically Pull keywords directly from the job description like tools, technologies, frameworks, and skills. ⚠️ But don’t “keyword stuff”! Modern ATS tools are smart enough to detect unnatural or forced usage. Integrate them naturally in your titles, bullet points, and skills section. 🧩 2. Keep Formatting Simple Avoid fancy templates, icons, or complex fonts. ATS software can’t read graphics, and you might get filtered out for something as small as a nonstandard format. ✅ Stick with a clean layout and standard sections like Work Experience, Skills, and Education. 📄 File format tip: Use PDF, unless the job post says otherwise. 🧩 3. Stay Concise Most recruiters spend seconds reviewing resumes. Keep it under 2 pages, focused, and easy to skim. 🧩 4. Personalize Each Application It’s tempting to send the same resume everywhere, but small tweaks to match each job description can make a big difference in passing the ATS filters and landing interviews. 💬 Question for everyone: Have you ever had your resume rejected before the interview stage and later realized it was because of ATS filtering? What’s one change you’ve made to your resume that improved your results?

Most QA Testers and QA Automation Engineer are still either ignoring AI testing tools or getting stuck with generic, low-value answers from ChatGPT and other AI tools. But today, you can change that. Get FREE access to our AI for QA Engineers course: a practical, hands-on program designed specifically for software testers. ➠ This isn't another generic "intro to AI" course. This is real-world AI automation techniques that actually improve your testing workflow. It’s a systematic AI for QA curriculum that shows you how to use AI strategically in your day-to-day testing work, the same frameworks AI-literate QA engineers and SDETs use to increase productivity, stand out in interviews, and command higher salaries. 𝐖𝐡𝐚𝐭 𝐲𝐨𝐮 𝐠𝐞𝐭 𝐢𝐧𝐬𝐢𝐝𝐞 “𝐌𝐚𝐬𝐭𝐞𝐫𝐢𝐧𝐠 𝐀𝐈 𝐟𝐨𝐫 𝐐𝐀 𝐏𝐫𝐨𝐟𝐞𝐬𝐬𝐢𝐨𝐧𝐚𝐥𝐬” ✅ 𝟓 𝐜𝐨𝐦𝐩𝐥𝐞𝐭𝐞 𝐜𝐡𝐚𝐩𝐭𝐞𝐫𝐬 – from AI fundamentals for QA engineers to advanced prompt engineering for testing ✅ 𝐇𝐚𝐧𝐝𝐬-𝐨𝐧 𝐰𝐢𝐭𝐡 𝟓 𝐦𝐚𝐣𝐨𝐫 𝐀𝐈 𝐭𝐨𝐨𝐥𝐬 – ChatGPT, Claude, Gemini, Perplexity, and Grok for QA & test automation work ✅ 𝐃𝐚𝐢𝐥𝐲 𝐀𝐈 𝐭𝐨𝐨𝐥𝐤𝐢𝐭 𝐟𝐨𝐫 𝐭𝐞𝐬𝐭𝐞𝐫𝐬 – generate test cases, analyze bugs, design test data, and create professional QA reports faster ✅ 𝐈𝐧𝐭𝐞𝐫𝐯𝐢𝐞𝐰 𝐩𝐨𝐬𝐢𝐭𝐢𝐨𝐧𝐢𝐧𝐠 – how to use the STAR method + an AI value framework to talk confidently about AI in QA interviews ✅ 𝐂𝐚𝐫𝐞𝐞𝐫 𝐬𝐭𝐫𝐚𝐭𝐞𝐠𝐲 𝐟𝐨𝐫 𝐐𝐀 & 𝐒𝐃𝐄𝐓 𝐫𝐨𝐥𝐞𝐬– position yourself as a QA who actually uses AI in real projects, without empty buzzwords Right now, companies are actively looking for QA engineers and SDETs who can combine solid testing skills with AI tools. These profiles are still rare, which is why they often command premium compensation and better opportunities. 📌 Most QAs fall into one of two traps: - They oversell their AI skills with buzzwords and get exposed in interviews - Or they avoid AI completely and look outdated compared to AI-literate candidates 👀 This training puts you in the realistic, high-value middle: You become a QA who can actually use AI to design tests, speed up debugging, improve coverage, and talk about it credibly in interviews.