Careers360 is hiring a Senior QA Engineer with 4+ years of experience for a role that brings together three of the most important areas in modern quality engineering: test automation, AI-driven testing, and performance engineering. This is a strong opportunity for QA professionals who want to move beyond traditional functional testing and work on high-scale products where reliability, scalability and intelligent test generation matter.
📌 Position Details
- Role: Senior QA Engineer
- Company: Careers360
- Experience: 4+ Years
- Qualification: BE/BTech/MCA
- Core Areas: Test Automation, Agentic AI/AI-driven Testing, Performance Testing
- Product Environment: High-traffic applications and APIs
- Collaboration: Product, Engineering and DevOps teams
🏢 About Careers360
Careers360 is a data-enabled, technology-driven educational products and services company. According to its official website, the organization integrates millions of student and institutional data points with preferences from more than 15 million monthly visitors to build prediction and recommendation products. Careers360 says its platform covers more than 25,000 colleges, 250+ courses and 250+ products, with its services used by more than 225 million students annually.
⭐ Why This Role Is Excellent for Your Experience
This position is valuable because it combines three specialized QA career tracks instead of focusing only on UI automation. A Senior QA Engineer can develop expertise in scalable automation frameworks while simultaneously building practical knowledge of AI-assisted quality engineering and performance testing.
The performance component is especially important. Testing high-traffic applications and APIs requires more than simply running a load test—you need to understand throughput, response time, concurrency, resource utilization, bottlenecks, scalability and failure behaviour.
🎯 Expected Interview Rounds at Careers360
- Round 1 – Recruiter/HR Screening: Experience, current role, notice period, compensation expectations and overall fit.
- Round 2 – QA Automation Technical Round: Framework architecture, automation strategy, coding, test design, maintainability, CI/CD and debugging.
- Round 3 – Performance Engineering Round: Load, stress and scalability testing; workload modelling; bottleneck analysis; API performance; response-time metrics and test-result interpretation.
- Round 4 – AI/Advanced QA Round: AI-generated test cases, agentic testing workflows, defect classification, AI validation and the limitations of AI-generated test artefacts.
- Round 5 – Managerial/Stakeholder Round: Ownership, collaboration with Product/Engineering/DevOps, release-risk decisions and handling production-quality issues.
- Round 6 – HR/Final Discussion: Compensation, joining timeline, role expectations and offer formalities.
💰 Expected Salary Range
Careers360 has not publicly disclosed the salary range for this particular position. As a market benchmark, current 2026 data for Senior QA Engineers shows a base-pay range of approximately ₹8–15 LPA, while Senior QA Automation Engineer data in Pune shows around ₹10–19 LPA. These figures vary considerably by city, company and specialization.
For a 4+ year candidate who genuinely combines automation + performance testing + AI-driven testing, a reasonable target could be approximately ₹12–20 LPA, with exceptionally strong automation architecture, performance engineering and AI-testing experience potentially supporting a higher package. This is a market estimate, not an official Careers360 salary range.
🧠 Preparation Tips
Don’t prepare as a conventional Selenium-only QA candidate. Pick one high-traffic application you have worked on and prepare an end-to-end quality engineering strategy for it.
For automation, be ready to explain framework architecture, test-data management, parallel execution, flaky-test handling, reporting, CI/CD integration and maintenance strategy. Explain how you decide what should and should not be automated.
For performance testing, prepare a realistic workload model. Explain how you would simulate concurrent users, establish baseline metrics, identify performance degradation and determine whether the bottleneck is application code, database, API, infrastructure or external dependency. Revise load vs stress vs scalability testing carefully.
🛠️ Skills Required
- Test Automation & Framework Architecture
- Selenium/Playwright or equivalent automation technology
- Programming and scripting
- API Testing and API Automation
- Performance Testing
- Load, Stress and Scalability Testing
- JMeter, Gatling, k6 or equivalent tools
- Performance metrics and bottleneck analysis
- Agentic AI / AI-driven Testing
- AI-powered test generation and execution
- AI-assisted defect analysis
- CI/CD and continuous testing
- Git and version control
- SQL and database validation
- Debugging and root-cause analysis
- Test strategy and risk-based testing
- Agile/Scrum
- Cross-functional collaboration
- Technical ownership and mentoring
📄 Resume Tips
Your resume should immediately position you as a Senior Quality Engineer, not simply a manual or automation tester. Put Automation, Performance Testing and AI-driven Testing near the top of your professional summary.
Quantify your automation impact: mention automation coverage, regression time saved, number of test cases automated, execution frequency, framework improvements or flaky-test reduction. For performance projects, include concurrent users, transactions per second, response-time improvements, bottlenecks identified and infrastructure tested wherever those numbers are genuinely available.
📩 How to Apply
Interested candidates can DM to Gambhir Singh Shah and share updated resume if their experience matches the job requirements.
The hiring post does not provide a dedicated application email or application URL. Interested candidates are invited to drop a comment, send a DM to Gambhir Singh Shah. Before applying, keep your latest resume ready and clearly highlight your 4+ years of QA experience, automation expertise, performance-testing background and hands-on AI-testing work.
✅ Final Takeaway
This Senior QA Engineer opening stands out because it combines Automation + Agentic AI + Performance Engineering in a single role. For QA professionals who already have strong automation fundamentals and want to build expertise in AI-powered testing and high-scale performance engineering, it can be an excellent career progression opportunity. The strongest candidates will be those who can demonstrate measurable automation results, explain performance bottlenecks with data, and show a practical—not merely theoretical—approach to using AI throughout the testing lifecycle. 🚀
