QA Engineer (Exp-3+ Years)

Compensation: ₹6L – ₹10L • No equity

**Job Position**- QA Engineer **No of Positions-** 2 **Experience**- 3-4 Years , **Organization**- Emplay Analytics Inc **Salary (CTC Offered)**- 6 LPA-10 LPA **Job Location**- Remote / Work from Home **Immediate joiners preferred** **Job Summary ** We are looking for a proactive QA Engineer with 3–4 years of experience and strong hands-on expertise in manual and automation testing. The ideal candidate is detail-oriented, passionate about quality, and experienced in building reliable test strategies for web, API, and backend systems. You will play a key role in ensuring product stability by driving test planning, execution, automation, and release validation — and by actively leveraging AI tools to enhance testing efficiency in a fast-paced agile environment. **Key Responsibilities ** **Test Strategy & Design ** -Develop and maintain detailed test plans, test cases, and test scenarios aligned with functional and non-functional requirements. -Prioritize testing efforts based on risk assessment and business impact. -Collaborate with stakeholders to ensure complete requirement coverage before testing begins. -Use AI tools to auto-generate test cases, edge cases, and boundary conditions from user stories and specifications. **API & Backend Testing ** -Conduct thorough functional, integration, and regression testing on RESTful APIs using tools like Postman or Swagger. -Validate backend data accuracy and integrity through well-structured SQL queries including joins and aggregations. -Identify and document API contract violations and data inconsistencies across environments. **Automation Development ** -Design, build, and maintain scalable test automation frameworks using Python, Pytest, or Playwright. -Embed automated test suites into CI/CD pipelines to enable continuous quality checks. -Continuously refactor and improve automation scripts to reduce flakiness and maintenance effort. -Use AI copilot tools to accelerate test script authoring and maintenance. **AI-Augmented Testing ** -Actively use AI tools to generate test cases, identify coverage gaps, and speed up exploratory testing. -Apply AI-driven insights to detect recurring defect patterns and prevent quality regressions across releases. -Evaluate and adopt emerging AI-powered and self-healing test tools to improve team productivity and test reliability. -Craft effective prompts to extract structured test plans, BDD scenarios, and API contract tests from AI assistants. **Agile Collaboration ** -Participate actively in sprint ceremonies including planning, stand-ups, reviews, and retrospectives. -Work alongside developers and DevOps teams to shift quality left and catch issues early in the development cycle. -Support defect triage, root cause analysis, and pre-release quality sign-off. **Mentoring & Documentation ** -Guide junior QA engineers on testing best practices, automation techniques, and AI tool usage. -Maintain clear and up-to-date documentation including test reports, traceability matrices, and release notes. -Communicate quality risks clearly to both technical and non-technical stakeholders. **Must-Have Skills ** -Solid understanding of software testing concepts, QA methodologies, and SDLC/STLC. -Proven experience in manual testing across web and API layers. -Strong experience with API testing tools — Postman, Swagger, or similar. -Hands-on expertise in SQL including complex queries, joins, and data integrity validation. -Practical experience with automation testing using Selenium, Python, Pytest, or Playwright. -Hands-on use of AI tools (ChatGPT, GitHub Copilot, Claude, or similar) in a QA workflow. -Ability to craft effective prompts to produce structured test plans and BDD scenarios. -Exposure to version control systems (Git). -Strong analytical, debugging, and documentation skills. **Qualifications ** -Bachelor's degree in Computer Science, Engineering, or a related field. -3–4 years of hands-on QA experience across web, API, and backend systems. -Demonstrated use of AI tools in a testing workflow — examples or project references preferred. -ISTQB Foundation (or higher), Selenium certification, or equivalent QA certification is a plus. -Strong communication skills with the ability to articulate quality risks to technical and non-technical stakeholders. **Nice-to-Have Skills ** -Experience with CI/CD pipelines — Jenkins, GitHub Actions, or Azure DevOps. -Familiarity with test management tools such as JIRA, TestRail, or Zephyr. -Knowledge of performance testing tools like JMeter or Locust. -Basic understanding of security testing concepts. -Experience with AI-native testing platforms such as Mabl, Testim, or Applitools. -Cloud testing experience on AWS or Azure. -BDD experience with Cucumber or Gherkin. -Basic awareness of testing AI/ML model outputs — hallucination detection, prompt injection risks.