Alternative Career Routes in Software Quality Assurance

🔍 Test Managers are fading. Test Architects are rising. A decade ago, I found myself at a crossroads. After spending years managing people, handling operations, and even overseeing P&L, I realized something surprising: 1.      I wasn’t challenged anymore. 2.      I missed solving real engineering problems. 3.      I missed being in the tech. That’s when I made the switch from management to Test Architect. To be frank, I was sceptical at first. a)      Would I be starting over? b)      Would I enjoy hands-on work again after years in leadership? c)      Would the role even matter in the long run? Today, I can confidently say: It was one of the best decisions I’ve made. As a Test Architect, I’ve had the chance to: a)       Talk directly with enterprise customers about real-world testing challenges b)       Define quality roadmaps, not just approve them c)       Design AI-powered automation frameworks d)       Build entire custom test platforms from scratch e)       Drive innovation instead of managing status reports And here’s what I’ve learned: This role is strategic, technical, and future-facing. In a world where test manager roles are becoming redundant, Test Architects are becoming the backbone of modern Quality Engineering. You can’t fake your way through this role. It demands continuous learning, design thinking, and hands-on expertise in tools, AI, data, and DevOps. But for those willing to evolve, this role isn’t just relevant… It’s critical to the future of software quality. So, if you're feeling stuck in middle management, ask yourself: Are you managing people, or solving problems? The future needs more architects, not just managers. #SoftwareTesting #TestMetry #QualityEngineering #AIinTesting

When QA professionals tell me, “Bhomick, I want to move into Product Management, but I don’t have the right skills,” I usually smile — because they already do.They just don’t see it yet. See, most QA roles sit at the intersection of business, technology, and user experience — exactly where Product Managers live. Think about it 👇 ✔️ Every time you write a test case, you’re clarifying requirements. ✔️Every time you challenge an unclear user story, you’re defending customer experience. ✔️Every time you raise a critical bug, you’re protecting business impact. ✔️And every time you connect devs, analysts, and stakeholders, you’re managing outcomes — not just testing inputs. That’s product thinking in disguise. The gap isn’t about skills. It’s about framing. Product Managers aren’t people who “know more.” They’re people who’ve learned to articulate what they already do — in the language of value, outcomes, and users. If you’re in QA and dreaming of transitioning to Product, start here 👇 1️⃣ Replace “bug found” with “impact prevented.” 2️⃣ Replace “test case written” with “user scenario validated.” 3️⃣ Replace “regression cycle” with “quality risk management.” You’ll start seeing yourself differently — and so will others. Because you’re not just ensuring quality. You’ve been shaping the product all along. — ✍️ Bhomick Sen Career Strategist | 17+ years in FinTech | Helping Professionals Find Their “Next” with Clarity, Confidence & Strategy #CareerGrowth #ProductManagement #QA #Leadership #ClarityConfidenceStrategy #CareerTransitions

💼 High-Paying QA Roles – Beyond Automation Let’s bust a common myth in tech: “If you're not into Automation, you're not growing in QA.” That’s not true. Today, there are multiple high-paying, high-impact QA roles that don’t revolve around Selenium or Cypress. Here are some in-demand QA specializations that are booming in 2025 👇 🔧 Performance Test Engineer 🧠 Exp: 2–8 yrs | 💰 ₹8L–30L 📈 Scalability is the backbone of any digital product. 🛡️ Security / Ethical Hacker (QA) 🧠 Exp: 3–10 yrs | 💰 ₹12L–40L 🔐 Security = trust. Companies pay premium. 🔌 API Testing Specialist 🧠 Exp: 2–6 yrs | 💰 ₹7L–25L 🌐 70% of bugs lie in the APIs, not UI. 📊 ETL / Data QA 🧠 Exp: 3–8 yrs | 💰 ₹8L–28L 📉 Clean data = smart business. Dirty data = disaster. ⚙️ TestOps / QA + DevOps 🧠 Exp: 4–10 yrs | 💰 ₹10L–35L 🚀 Without quality, CI/CD becomes chaos. 📱 Cloud & Mobile QA 🧠 Exp: 2–7 yrs | 💰 ₹7L–22L 📲 Real devices + cloud networks = real world QA. ♿ Compliance / Accessibility QA 🧠 Exp: 3–9 yrs | 💰 ₹7L–25L 📜 Accessibility & privacy compliance is now law. 🎮 Game QA / Graphics QA 🧠 Exp: 2–5 yrs | 💰 ₹6L–18L 🕹️ It's not just play — it’s precision. 🧠 AI/ML Testing Engineer 🧠 Exp: 4–10 yrs | 💰 ₹15L–50L+ 🧪 Testing bias, fairness, and algorithm behavior — goldmine of a niche. 💡 Note: Salary varies widely by city tier, domain, and skill depth. These are high-level ranges observed across Tier 1, 2, and 3 cities. 🚀 Takeaway Don't just follow the crowd. Follow the value. QA is no longer one-dimensional. The future belongs to those who master the niche. 💬 Which of these QA paths do you want to explore next? 💬 Know someone who's thriving in a non-automation QA role? Tag them below 👇 #QACommunity #BeyondAutomation #HighPayingQAJobs #SoftwareTesting #TechCareers #TestOps #SecurityTesting #DataQA #LinkedInTech #SDET #CareerGrowth #Tier1Tier2Tier3

Exploring the Diverse Roles in QA Engineering Quality Assurance (QA) isn't just about finding bugs—it's a vast field with multiple specialized roles, each contributing to the overall success of software development. Here's a breakdown of some key QA positions: 1️⃣ Manual QA Tester: Ensures software meets requirements through hands-on test case execution. 2️⃣ Automation QA Engineer: Builds and maintains test scripts to speed up and improve testing efficiency. 3️⃣ Performance Testing Engineer: Evaluates how software performs under various conditions. 4️⃣ Security Testing Engineer: Identifies vulnerabilities to ensure applications are safe from threats. 5️⃣ UAT Engineer: Works closely with end-users to validate that software meets real-world needs. 6️⃣ Mobile App QA Engineer: Focuses on testing applications for mobile devices. 7️⃣ Web QA Engineer: Ensures web applications are functional, responsive, and cross-browser compatible. 8️⃣ Data QA Engineer: Verifies the quality and accuracy of data within applications. Each role is vital, and together they create a robust testing ecosystem that drives software quality to new heights🫡

After 5+ years of making DevOps tutorials on YouTube (yeah, we started back in Oct 2019), we're trying something completely new 👇 And honestly? I have no idea if you'll love it or hate it. But we had to try. This is Rody. 13 years in QA and test automation. Senior level. And he had a realization that changed everything. I sat down with him to talk about the future of QA, the real impact of AI on testing roles, and the specific path he took to become what he calls "future-proof." Watch it here: https://lnkd.in/gAm8GeTZ 𝗕𝘂𝘁 𝗵𝗲𝗿𝗲'𝘀 𝘄𝗵𝗲𝗿𝗲 𝘄𝗲 𝗱𝗶𝗱 𝘀𝗼𝗺𝗲𝘁𝗵𝗶𝗻𝗴 𝗱𝗶𝗳𝗳𝗲𝗿𝗲𝗻𝘁: We didn't just dump the interview online. We broke it down. Added explanations. Built in my own insights. Made it actually engaging to watch from start to finish. (Hopefully 🙂) Think of it like a documentary-style deep dive into real career transformations. You'll learn the specific skills that matter, understand how to learn them without quitting your job, and throughout the conversation, I break down what this means for you. So whether you're in QA, thinking about DevOps, transitioning from a different background, or just trying to understand where engineering careers are heading, this interview will be interesting for you. This is the first of a new career series featuring: ↳ DevOps bootcamp graduates who came from completely different backgrounds (QA, network engineering, non-tech) and how they actually made it work ↳ Industry experts like Kelsey Hightower sharing insights you won't find anywhere else ↳ Real day-to-day work perspectives from Lead DevOps Engineers, DevSecOps specialists etc From non-tech backgrounds to DevOps lead. From manual QA to platform engineering. From network engineer to DevSecOps engineer. These aren't fairy tales. These are real people who put in the work and made it happen. 𝗙𝘂𝗹𝗹 𝘁𝗿𝗮𝗻𝘀𝗽𝗮𝗿𝗲𝗻𝗰𝘆: This isn't some official permanent format we're committing to forever 😄 We're experimenting. Learning the tools is one thing. But understanding real career paths? That's what this series is about. So we want to show you what paths are actually possible and give you the behind-the-scenes perspective on how people really learn this stuff. The editing took us 3 weeks longer than a normal "interview dump". But I think it's worth it. 💬 Now I need your help - what should we call this series? Drop your ideas below. And please - tell me what you think 🙏 What do you want more of? What should we skip? Because ultimately, we're doing this for you. If this format helps one person make a better career decision, it's worth it. More interviews already in the pipeline. This is just the beginning. — Thanks Rody, for being so open and sharing your journey with the community 💙

Unpopular opinion: Pushing every Manual Tester into automation isn’t just misguided -> it’s hurting careers. We can see it everywhere: A highly skilled Manual QA decides they “need to move into automation” because they’ve been told it’s the only way to stay relevant. So the journey begins… Step 1: Learn Java + OOP. Classes, inheritance, interfaces, constructors, collections — practically an entire software engineering curriculum. Three months later? - Frustration. - Imposter syndrome. - A belief that they’re “not technical enough.” - And in many cases… people quit the craft entirely. Here’s the truth nobody states clearly: - Automation ≠ backend development. - Manual QA ≠ “entry-level until you code.” They are different roles. Different skill sets. Different strengths. And both deserve equal respect. Some of the most impactful testers I’ve worked with are purely manual — and their skills are elite: • risk analysis • exploratory depth • destructive thinking • fast feedback • ambiguity handling • pattern recognition • edge-case discovery None of this comes from an automation tutorial. And for those who do want to learn automation? - Start easier. - Start modern. - Start practical. Use JavaScript or TypeScript, not Java. - Tools like Playwright and Cypress remove 90% of the friction. - You can write a working test in minutes, not after months of OOP theory. - Your real early learning path should focus on: • how the web works (DOM, locators, events) • assertions and test logic • waits and reliability • modern tooling (JS/TS + Playwright) • tester mindset applied to automation Deeper programming concepts can come later — if your role actually needs them. Not: ❌ “Become a software engineer first.” ❌ “Learn 12 design patterns.” ❌ “Master Java or you’re not a real SDET.” - Automation should extend testing expertise, not overshadow it. - And manual testing should be celebrated, not treated like a stepping stone. It’s time our industry respects Manual QA and Automation QA as two valid, valuable, and equally essential specialties. Neither replaces the other. Both elevate quality together. -x-x- Become playWright typeScript pro and E2E framework | Promising E2E course with Industry Level Skills Development: https://lnkd.in/gHYidnfr #japneetsachdeva

How do you break into QA without a traditional tech background? 🤔 ☕ Judy Mosley Mosley did it—and she’s sharing exactly how. In this episode of the TestGuild Automation podcast, I chat with Judy about her pivot from full-time mom to respected QA engineer at TextUs. Spoiler: it didn’t involve a CS degree or a perfect résumé. Instead, Judy leaned into: ✅ A development bootcamp that sparked her passion ✅ The value of “breaking things” in QA ✅ Blogging to build credibility and community ✅ Tackling imposter syndrome head-on ✅ Growing as an introvert in a noisy industry ✅ Using both manual and automation testing to stay agile ✅ And navigating how AI is reshaping QA careers Whether you’re switching fields, starting from scratch, or just need fresh motivation—this one’s worth a listen. 🎧 Tune in: https://lnkd.in/dqeiaXqw #SoftwareTesting #QACareers #TestAutomation #WomenInTech #CareerChange #IntrovertsInTech #TechCareers

📢 𝐒𝐡𝐢𝐟𝐭𝐢𝐧𝐠 𝐅𝐫𝐨𝐦 𝐄𝐦𝐛𝐞𝐝𝐝𝐞𝐝 𝐒𝐲𝐬𝐭𝐞𝐦𝐬: 𝐄𝐱𝐩𝐥𝐨𝐫𝐢𝐧𝐠 𝐍𝐞𝐰 𝐏𝐚𝐭𝐡𝐬 🔄 Lately, many have asked how to adapt and grow amidst limited market opportunities in the embedded systems field. If you’re feeling stuck, don’t worry—there are exciting alternatives worth considering! Here’s what I suggest: 🔍 𝐒𝐨𝐟𝐭𝐰𝐚𝐫𝐞 𝐓𝐞𝐬𝐭𝐢𝐧𝐠: A Versatile and In-Demand Option If you’re looking for a smoother transition, testing might be your best bet. The demand for software testers—across embedded systems and other software fields—is on the rise. ✔️ Testing roles provide opportunities in various domains and fields. ✔️ If the embedded market stabilizes, you’ll already have dual skills: testing and embedded development. ✔️ If the embedded market doesn’t rebound, your testing skills can allow you to join almost any software development team. ✔️ Leverage embedded expertise for hardware-in-the-loop (HIL) and system-level testing frameworks. If you’re considering testing, it’s a solid investment to secure your future regardless of how the market evolves! 💡 𝐀𝐈 & 𝐄𝐝𝐠𝐞 𝐂𝐨𝐦𝐩𝐮𝐭𝐢𝐧𝐠: The Innovative Frontier Artificial Intelligence (AI) is booming, but transitioning into AI requires intensive study and dedication. It’s no simple leap, as you’ll need to master math, advanced algorithms, computer vision, and LLMs (Depending on the field). ✔️ With an embedded background, you have an edge in focusing on AI on the edge, combining hardware knowledge with software-based AI. ✔️ This niche area offers opportunities in IoT, autonomous vehicles, and beyond. ✔️ Skills like quantizing models for deployment are critical and in high demand. If you’re motivated and ready for a challenge, AI on the edge can be your path to building cutting-edge solutions! 🐍 𝐏𝐲𝐭𝐡𝐨𝐧: A Must-Learn Skill for 2025 No matter which path you choose, Python is the key to unlocking new opportunities: ✔️ Essential for AI and ML development. ✔️ Simplifies automation and testing workflows. ✔️ Great for building GUIs and smaller embedded projects. 🎯 𝐅𝐢𝐧𝐚𝐥 𝐖𝐨𝐫𝐝 Your choice ultimately depends on your interests and dedication: 🔹 𝐓𝐞𝐬𝐭𝐢𝐧𝐠 is flexible, practical, and in demand, allowing you to stay connected to the embedded world or pivot to general software. 🔹 𝐀𝐈 𝐨𝐧 𝐭𝐡𝐞 𝐄𝐝𝐠𝐞 is exciting but demands a steep learning curve and focus. Either way, your embedded background is a powerful foundation for growth. Let me know—what’s your next move? 🚀 #EmbeddedSystems #CareerShift #ArtificialIntelligence #SoftwareTesting #EdgeComputing #PythonForFuture

Let’s be honest for a minute. You’re a QA Engineer. And you can see what’s happening. The industry is changing. Fast. Traditional QA roles—manual or automated—are being redefined. Expectations have shifted: AI-driven testing, scalable frameworks, code fluency, system-level thinking. The bar has been raised. Sure, you could spend the next year learning Python, brushing up on AWS, or refining your Selenium scripts... But here’s the reality: That alone won’t make you stand out anymore. The market isn’t just looking for people who can execute test cases. It’s looking for people who can own delivery, drive alignment, flag risks early, and lead teams through ambiguity. And guess what? You’re already doing that. You’ve been writing tickets, managing timelines, coordinating across teams, and keeping launches on track. That’s not “just QA.” That’s program ownership. That’s technical leadership. That’s the foundation of a TPM. The challenge isn’t your experience—it’s how it’s positioned. You don’t need another certificate. You need a new narrative. One that reframes your QA background into what it truly is: a launchpad into roles like Technical Program Management, or if you’re more data-driven, into AI/ML-focused data engineering. The path to $200K+ is absolutely real. But it’s not buried in more code. It starts with owning the value you already bring—and learning how to communicate it to decision-makers. If you hate coding? TPM or PM is a more strategic move. And frankly, a smarter one. You’re not starting from scratch. You’re just stepping into the role you’ve already been playing—this time, with the title (and compensation) to match. #CareerChange #QAE

Unpopular opinion: QA didn’t die. It got promoted. 🎓 Everyone keeps saying “AI is replacing testers.” Wrong. ❌ AI replaced the version of testing that should have died 10 years ago. The copy-paste test cases. The screenshot evidence. The “steps to reproduce” that nobody reads. Good riddance. 🪦 Here’s what actually happened: Testing got harder. Way harder. 🧠 You’re not validating a button anymore. You’re validating an LLM that hallucinates, drifts, and confidently lies to your users. Try writing a test case for that. 🤔 The bar didn’t lower. It went through the ceiling. 📈 I teach AI testing at Engenious University. First cohort, students walked in thinking they’d learn a new tool. They walked out building evaluation frameworks. Prompt injection test suites. Hallucination detection pipelines. 🔬 That’s not “manual testing with extra steps.” That’s a different profession. And the market knows it. 💡 Companies aren’t posting “QA Tester” anymore. They’re posting “AI Quality Engineer” and they can’t fill the seats fast enough. 💰 So here’s my hot take: 🔥 The testers who are panicking right now? They’re looking at the wrong thing. They see AI taking jobs. I see AI creating the most interesting testing problems we’ve ever had. 🧪 The ones who lean in will write their own salary. The ones who wait will write their own exit. ✌️ Which one are you? 👇 #AITesting #QAEngineering #SoftwareTesting #ArtificialIntelligence #LLMTesting #TestAutomation #QualityAssurance #AIQuality #TechCareers #FutureOfWork #EngeniousUniversity #AIEngineer #CareerGrowth #SoftwareEngineering #QALife