Full Description

Description

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 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. 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.