Senior Quality Assurance Engineer

About Furlenco

Furlenco is a different furniture company. We enable the urban Indian to live better today in their homes, by giving them award-winning furniture and home decor with a basket of access to rent and buy.

All of our furniture is designed in-house by experts. We dont just give furniture. We provide decor, accessories and appliances as well. We are launching our first ever offline stores so that one can furnish their entire home, room or corner without traversing multiple stores or websites!

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