Job Description
We are looking for a motivated and detail-oriented Engineer with strong communication skills and a problem-solving mindset. The ideal candidate should be eager to learn, adaptable to new technologies, and comfortable working across multiple platforms, with a primary focus on automation testing and AI-assisted testing practices. The selected candidate will receive guidance and mentorship while working across multiple platforms, with a primary focus on automated testing and modern AI-enabled QA approaches.
🚨 Before You Apply: Your Resume Needs to Shine!
Did you know? 75% of applications get rejected before reaching a human recruiter – all because of poorly formatted resumes that fail ATS scans!
🔥 Get Interview-Ready in Minutes with Our Professionally Designed Resume Templates!
✅ 5+ ATS-Friendly Designs – Beat the bots and get noticed
✅ Recruiter-Approved Layouts – Highlight your skills the right way
✅ Easy-to-Edit (Word & Google Docs) – No design skills needed
✅ Free Bonus: Cover Letter Template + Resume Writing Guide
🎁 Limited-Time Offer: Get yours for just ₹249 (originally ₹999)
📥 Instant Download – Apply to Google with confidence today!
👉 Grab Your Resume Template Now: Tap Here to get your resume Templates
Responsibilities
Learn and understand application features, workflows, and business requirements
Design, develop, and execute automated test cases for web and mobile applications
Continuously learn and adapt to new tools, frameworks, and technologies in the QA ecosystem
Perform functional, non-functional, regression, and sanity testing across platforms
Collaborate closely with developers, product managers, and QA leads to understand requirements and identify test scenarios
Identify, log, and track defects clearly with proper reproduction steps
Participate in requirement discussions and provide testability feedback
Maintain and improve existing automation test suites
Contribute to test documentation, test reports, and automation metrics
Work closely with QA team, stakeholders and developers to understand and adapt best practices
Leverage AI tools such as AI copilots, test generation tools, and analysis assistants to improve test coverage and productivity
Follow QA processes, coding standards, documentation guidelines, and responsible AI usage practices


