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.

Job market update: Companies are specifically asking for 'manual testers with automation skills' - your background is an asset, not a limitation. Here's what I'm seeing in job postings: "Must have strong manual testing foundation" and "Experience with both manual and automated testing approaches." Why? Because manual testers know: - How users actually break applications - Which edge cases matter vs. which ones don't - When automation makes sense (and when it doesn't) Pure automation engineers often write tests that work perfectly but miss obvious user flows. You won't make that mistake. Your manual experience + new automation skills = exactly what the market wants. Don't downplay that background - lead with it.

We're about to drop something GAME-CHANGING that's exclusive to our most engaged members. Here's the deal: ✅ Level 2+ members only → You'll get first access to our AI for QAs content ✅ Haven't been active lately? → Time to jump back in and start engaging ✅ Every post, comment, and like → Gets you closer to Level 2 ✅ Early access advantage → Be among the first to master AI-powered QA skills Why this matters: While other QAs are still figuring out basic automation, you'll be ahead of the curve with AI integration. This isn't just another course addition - it's your competitive edge in the job market. Action needed: Start engaging NOW. The most active community members will be the first to unlock this content when it drops. Don't be the one asking "how do I get access?" after it's already live. Level up today! 📈

If you think CI/CD is "too technical" or "not my job"... You're about to miss out on the easiest way to 𝐝𝐨𝐮𝐛𝐥𝐞 𝐲𝐨𝐮𝐫 𝐯𝐚𝐥𝐮𝐞 in the job market. And I'm not exaggerating. Whether you're doing manual testing or automation, learning basic DevOps skills, specifically how to build and manage testing pipelines, is a 𝐦𝐚𝐬𝐬𝐢𝐯𝐞 𝐜𝐚𝐫𝐞𝐞𝐫 𝐚𝐜𝐜𝐞𝐥𝐞𝐫𝐚𝐭𝐨𝐫. Because you'll be able to solve one of the biggest pain points in modern software development. 𝐓𝐡𝐞 𝐎𝐥𝐝 𝐖𝐚𝐲 𝐯𝐬. 𝐓𝐡𝐞 𝐍𝐞𝐰 𝐑𝐞𝐚𝐥𝐢𝐭𝐲 🔴 𝐇𝐨𝐰 𝐢𝐭 𝐮𝐬𝐞𝐝 𝐭𝐨 𝐰𝐨𝐫𝐤: - QA needs tests to run in the pipeline? Create a ticket for DevOps. - Want to trigger a test suite? Another ticket. - Need to review the results? Go find someone who can. - Pipeline broke? Guess what... another ticket. - DevOps picks up these tickets "when they have time." 𝐓𝐡𝐞 𝐩𝐫𝐨𝐛𝐥𝐞𝐦 𝐰𝐢𝐭𝐡 𝐭𝐡𝐢𝐬 𝐚𝐩𝐩𝐫𝐨𝐚𝐜𝐡: Modern companies move fast. This process slows down 𝐞𝐯𝐞𝐫𝐲𝐭𝐡𝐢𝐧𝐠, including releases, bug fixes, and your ability to provide quick feedback. 𝐏𝐥𝐮𝐬, DevOps teams are usually the busiest department in any tech company. They're not just building new infrastructure. They're supporting legacy systems, handling security, managing deployments, and putting out fires. ⚠️ Your testing pipeline tickets? They're at the bottom of a very long list. 𝐖𝐡𝐚𝐭 𝐓𝐡𝐢𝐬 𝐌𝐞𝐚𝐧𝐬 𝐟𝐨𝐫 𝐘𝐨𝐮 If you can handle your own testing CI/CD tasks, you become someone who 𝐬𝐩𝐞𝐞𝐝𝐬 𝐭𝐡𝐢𝐧𝐠𝐬 𝐮𝐩 instead of slowing them down. Companies 𝐥𝐨𝐯𝐞 people who solve problems instead of creating more work. And they pay them accordingly. "𝐁𝐮𝐭 𝐃𝐞𝐯𝐎𝐩𝐬 𝐈𝐬 𝐇𝐮𝐠𝐞 𝐚𝐧𝐝 𝐒𝐜𝐚𝐫𝐲!" You're right. If you want to become a full DevOps engineer, it 𝐢𝐬 𝐡𝐚𝐫𝐝. But here's the thing: 𝐘𝐨𝐮 𝐝𝐨𝐧'𝐭 𝐧𝐞𝐞𝐝 𝐭𝐨 𝐥𝐞𝐚𝐫𝐧 𝐚𝐥𝐥 𝐨𝐟 𝐃𝐞𝐯𝐎𝐩𝐬. You only need the parts that directly impact testing: ✅ 𝐁𝐚𝐬𝐢𝐜 𝐋𝐢𝐧𝐮𝐱 𝐜𝐨𝐦𝐦𝐚𝐧𝐝𝐬 (5-10 commands, tops) ✅ 𝐇𝐨𝐰 𝐭𝐨 𝐬𝐞𝐭 𝐮𝐩 𝐭𝐞𝐬𝐭𝐢𝐧𝐠 𝐩𝐢𝐩𝐞𝐥𝐢𝐧𝐞𝐬 in one CI/CD tool (GitHub Actions, Jenkins, or GitLab) ✅ 𝐄𝐧𝐯𝐢𝐫𝐨𝐧𝐦𝐞𝐧𝐭 𝐦𝐚𝐧𝐚𝐠𝐞𝐦𝐞𝐧𝐭 (understanding dev/staging/prod) ✅ 𝐓𝐞𝐬𝐭 𝐫𝐞𝐩𝐨𝐫𝐭𝐢𝐧𝐠 𝐢𝐧𝐭𝐞𝐠𝐫𝐚𝐭𝐢𝐨𝐧 (getting the results) ✅ 𝐁𝐚𝐬𝐢𝐜 𝐭𝐫𝐨𝐮𝐛𝐥𝐞𝐬𝐡𝐨𝐨𝐭𝐢𝐧𝐠 (reading logs, identifying common failures)