Quality Assurance Engineer
3 days ago
Job Summary
We are looking for a
strong, self-driven QA Engineer
who can perform a
hybrid role
in the new testing paradigm — acting as both a
Business Analyst (BA)
and a
Quality Assurance (QA)
professional. The ideal candidate should be capable of understanding business needs under direction, translating them into clear requirements, and then validating them through effective QA practices.
This role requires someone who can
leverage AI tools extensively
to automate and optimize both
requirements documentation
and
QA activities
, reducing manual effort while improving speed and accuracy.
Key ResponsibilitiesBusiness Analysis Responsibilities
- Work under direction to understand business problems, workflows, and client expectations
- Elicit, analyze, and document
business and functional requirements - Create and maintain
BRDs, FRDs, user stories, acceptance criteria, and process flows - Collaborate with stakeholders, developers, and product teams to clarify requirements
- Use
AI tools
to assist with requirement generation, refinement, documentation, and validation
Quality Assurance Responsibilities
- Design, develop, and execute
manual and automated test cases
based on documented requirements - Perform
functional, regression, smoke, sanity, and UAT testing - Ensure traceability between
requirements and test cases - Identify, log, track, and retest defects using defect tracking tools
- Collaborate closely with development teams to ensure quality delivery
- Use
AI-powered QA tools
to automate test case creation, execution, and maintenance
AI & Automation Focus
- Use AI tools to:
- Generate and refine requirements and user stories
- Auto-create test cases from requirements
- Optimize regression test suites
- Perform test data generation and defect analysis
- Continuously identify areas where AI can reduce manual effort and improve efficiency
- Ensure quality, accuracy, and business alignment of AI-generated outputs
Required Skills & Qualifications
- 2–5 years of experience in
QA / Software Testing
, with exposure to
Business Analysis activities - Strong understanding of
SDLC, STLC, and Agile methodologies - Proven ability to understand requirements and translate them into effective test scenarios
- Experience with
QA Automation tools
(Selenium, Cypress, Playwright, or similar) - Hands-on experience using
AI tools for QA and documentation
(AI test generators, AI copilots, Gen AI tools, etc.) - Good knowledge of
test case design techniques
and requirement traceability - Basic to intermediate knowledge of
programming/scripting languages
(Java, JavaScript, or Python) - Experience with
API testing
(Postman or similar tools) - Familiarity with
JIRA, Confluence, or similar tools - Strong analytical, problem-solving, and documentation skills
- Ability to take direction, work independently, and deliver with minimal supervision
-
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