---

Amazon is hiring for a Quality Assurance Engineer-II, Speed + AI in Hyderabad, Telangana, offering an exciting opportunity for experienced QA professionals who want to work on large-scale customer-facing products involving web, mobile, automation, and modern AI-driven experiences. The role focuses strongly on both manual and automated testing, test ownership, quality strategy, defect management, and close collaboration with Software Development Engineers.

🏢 About Amazon

Amazon is one of the world’s largest technology companies, operating across e-commerce, cloud computing, artificial intelligence, entertainment, devices, advertising, healthcare, and logistics. Its mission is centered around making customers’ lives easier through continuous invention and customer-focused innovation. Amazon currently has more than 1.5 million employees globally.
India is also a major technology and investment hub for Amazon. In June 2026, Amazon announced plans to invest $48 billion in India between 2026 and 2030, including significant investment in AI and cloud infrastructure.
For QA professionals, this makes Amazon particularly attractive because testing at this scale involves complex customer journeys, distributed systems, multiple platforms, automation, and continuous releases.

💼 Job Overview

📌 Company: Amazon
📌 Role: Quality Assurance Engineer-II, Speed + AI
📌 Location: Hyderabad, Telangana, India
📌 Experience: 4+ years
📌 Work Area: Quality Assurance / Quality Engineering
📌 Testing: Manual + Automation
📌 Platforms: Web + Mobile
📌 Automation: Selenium / Appium or equivalent frameworks
📌 Project Ownership: Medium to large-sized projects

---

🌟 Why This Role Is Good for Your Experience

This is more than a traditional execution-focused QA position. The job expects engineers to own quality, contribute to test strategy, work with developers, and act as a quality advocate throughout the development lifecycle.
You will gain exposure to large-scale web and mobile testing, automation frameworks, quality metrics, test planning, defect management, UI validation, technical architecture, and customer-facing retail experiences. The combination of manual and automation responsibilities can also help QA engineers move toward Senior QA Engineer, SDET, Quality Engineering Lead, or Test Architect positions.
The Speed + AI organization is especially interesting for engineers who want experience around modern, high-scale customer experiences while continuing to build strong core QA engineering skills.

---

🧰 Skills Required

🔹 4+ years of Quality Assurance Engineering experience
🔹 Strong manual testing fundamentals
🔹 Practical automation testing experience
🔹 Selenium, Appium, or another established automation framework
🔹 Test planning and test-case design
🔹 Experience owning QA activities for medium/large projects
🔹 UI and functional testing
🔹 Regression and integration testing
🔹 Defect identification, isolation, documentation, and tracking
🔹 API testing fundamentals
🔹 Understanding of software development lifecycle and QA processes
🔹 Ability to understand technical architecture
🔹 Strong analytical and debugging skills
🔹 Communication and collaboration with SDEs
🔹 Understanding of quality metrics and release quality
🔹 Exposure to web and mobile testing

---

🎯 Expected Amazon Interview Rounds

Round 1 – Recruiter/Initial Screening: Expect discussion around your experience, current project, automation exposure, notice period, location, and role fit.
Round 2 – Technical QA Round: Be prepared for test-plan vs. test-strategy questions, test-case design, automation concepts, Selenium/Appium, API testing, defect analysis, regression strategy, and real-world testing scenarios.
Round 3 – Hiring Manager/Technical Round: This can go deeper into project ownership, automation framework architecture, quality metrics, difficult production defects, collaboration with developers, and decisions you made to improve quality.
Round 4 – Bar Raiser/Behavioral: Amazon places significant emphasis on Leadership Principles. Amazon states that behavioral interviews typically explore past successes and challenges and recommends using the STAR method with specific, measurable examples.

---

💰 Expected Salary Range

Amazon does not publish the compensation for this specific job in the supplied posting. As an indicative market reference, recent Glassdoor data for Amazon QAE-II in India shows average base pay around ₹24 LPA, with reported base ranges around ₹20–30 LPA and additional compensation averaging about ₹7 LPA. Recent reported QAE-II compensation in Hyderabad has also reached approximately ₹44 LPA in some cases.
For an experienced candidate with 4+ years, a reasonable indicative total compensation expectation could be around ₹25–45 LPA, depending heavily on level mapping, experience, interview performance, base salary, additional pay, and Amazon’s compensation structure. This is an estimate, not an official salary range.

🧠 Unique Preparation

🔥 Master test strategy: Don’t only prepare definitions. Practice designing a complete test strategy for an Amazon shopping feature covering functional, regression, integration, mobile, web, negative, compatibility, and release testing.
📱 Prepare web + mobile scenarios: Since this role explicitly covers both platforms, practice identifying differences between browser, device, OS, network, screen-size, and mobile-specific test scenarios.
⚙️ Explain your automation framework: Be ready to draw your framework architecture and explain page objects, test data, utilities, reporting, parallel execution, synchronization, CI/CD, and maintenance.
🐞 Practice defect investigation: Prepare examples where you isolated a difficult defect, identified the root cause, collaborated with developers, and prevented regression.
📊 Know quality metrics: Prepare practical metrics such as defect leakage, automation coverage, pass percentage, defect density, regression effectiveness, flaky-test rate, and escaped defects.
🤖 Think about AI testing: Because the team name includes Speed + AI, understand high-level AI/GenAI testing concepts such as response correctness, consistency, edge cases, hallucination evaluation, prompt variations, latency, and safety. Don’t claim AI expertise unless you can explain your experience clearly.

---

📄 Resume Tips

Your resume should look like a Quality Engineering resume, not simply a list of testing tools.
✅ Highlight 4+ years of QA experience prominently.
✅ Quantify automation impact: “Automated 70% of regression suite and reduced execution time by 40%.”
✅ Mention both manual and automation testing.
✅ Clearly mention Selenium/Appium or your equivalent framework.
✅ Add web and mobile testing experience if applicable.
✅ Include examples of test-plan ownership and large-project responsibility.
✅ Mention API testing, CI/CD, defect management, and quality metrics where genuinely applicable.
✅ Add one or two strong production-defect/root-cause examples.
✅ Include measurable improvements rather than generic statements such as “responsible for testing.”
✅ Prepare STAR stories around ownership, quality improvement, conflict resolution, customer impact, failure, and delivering results.

---

📝 How to Apply

👉 Application Link: Click Here

🤝 Referral Tip
Want to improve your chances of getting noticed?
Connect with someone at Amazon and request a referral—it can significantly enhance your visibility in the hiring process.

Interested candidates can apply through the job listing for Quality Assurance Engineer-II, Speed + AI in Hyderabad. Review your resume against the requirements before submitting, particularly the 4+ years QA experience, automation, manual testing, and medium-to-large project QA leadership requirements.

---

🚀 Final Takeaway

This Amazon opportunity is a strong fit for QA engineers who have moved beyond basic test execution and can demonstrate automation ownership, test strategy, quality leadership, technical debugging, and strong collaboration with developers. The biggest differentiator will be your ability to combine hands-on QA expertise with Amazon’s Leadership Principles. If you can explain your automation framework, design a thoughtful test strategy, demonstrate measurable quality improvements, and support your answers with strong STAR-based examples, this role can be an excellent next step toward senior-level Quality Engineering responsibilities.

---