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Senior Quality Assurance Automation Engineer

Furlenco · Bengaluru, Karnataka, India

full_timePosted 1w ago
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Job description

**The Role** As part of the QA Engineering Team focusing on tech, you will work on building and optimizing the testing processes through automation and tooling. You will ensure product quality by automating both aspects of QA, that is functional & non-functional testing and performing manual validation when required. You will be actively collaborating with the Product Management, Developer, Project Management & Data Analytics/Engineering functions to play a vital role in growing our products and scaling our platform. **Roles and Responsibilities :** **Own quality end-to-end** - Take ownership of quality for features across frontend and backend systems - Participate in requirement discussions and identify edge cases early - UI workflows - Design check, Workflow checks, API Integration checks - API Testing - Test APIs and validate request, responses - DB Testing - Validate the expected DB-level changes **Collaboration & communication** - Work closely with Engineering, Product and DevOps teams to ensure smooth releases - Clearly communicate quality risks and testing status to stakeholders Leverage AI in testing - Use AI tools to accelerate test creation, debugging, and coverage analysis - Build intelligent test strategies using data and AI-assisted tooling **Required Skill Set :** - B.E / B.Tech in Computer Science or equivalent - 4 to 8 years of experience in QA **Core QA skills** - Strong understanding of end-to-end testing - Experience with UI, API & DB testing - Experience with API testing tools (RestAssured, Postman, Supertest, etc.) **Backend understanding** - Strong understanding of REST APIs, microservices architecture - Experience validating backend systems, data flows, and integrations **Testing fundamentals** - Solid understanding of test design techniques, test strategies and quality metrics - Experience with regression, integration and system testing **Data & debugging** - Working knowledge of SQL and database validation - Strong debugging and root cause analysis skills **AI-native mindset** - Comfortable using AI tools (Copilot, Claude, etc.) to improve testing productivity - Ability to evaluate and validate AI-generated test cases and scripts **Good to Have Skill Set :** - Experience with performance testing tools (JMeter, k6, etc.) - Experience testing event-driven systems (Kafka, RabbitMQ) - Exposure to mobile app testing - Experience with Docker / Kubernetes environments - Experience building internal QA tools or frameworks