QA Engineer (Exp-3+ Years)

Overview

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.