QA Engineer
₹1,000,000 – ₹2,500,000 / yr base salary
Posted 15 Oct 2026
BranchFactor Summary
The original posting with the fluff stripped out
- Management level
- Individual contributor
- Employment
- Remote
- Contract
- Full-time
| Base salary | ₹1,000,000 – ₹2,500,000 / yr |
|---|
𝗧𝗵𝗶𝘀 𝗿𝗼𝗹𝗲 𝗶𝘀 𝗳𝗼𝗿 𝗼𝗻𝗲 𝗼𝗳 𝘁𝗵𝗲 𝗪𝗲𝗲𝗸𝗱𝗮𝘆'𝘀 𝗰𝗹𝗶𝗲𝗻𝘁𝘀
𝗦𝗮𝗹𝗮𝗿𝘆 𝗿𝗮𝗻𝗴𝗲: 𝗥𝘀 𝟭𝟬𝟬𝟬𝟬𝟬𝟬 - 𝗥𝘀 𝟮𝟱𝟬𝟬𝟬𝟬𝟬 (𝗶𝗲 𝗜𝗡𝗥 𝟭𝟬-𝟮𝟱 𝗟𝗣𝗔)
Experience: 6+ yrs
Location: Remote (India)
We are looking for an experienced Senior QA Automation Engineer with strong expertise in API automation, backend validation, and test automation frameworks. The ideal candidate will have hands-on experience with the Karate API Automation Framework, GitHub Actions, CI/CD pipelines, and AWS, along with a solid understanding of manual and automated testing practices.
This role focuses on building reliable, reusable automation solutions, validating backend data, and ensuring the quality of complex system integrations, including IoT data flows. The successful candidate will collaborate with engineering and customer teams to deliver high-quality, scalable, and dependable software solutions.
Requirements
Key Responsibilities
- Design, develop, and maintain automated API test suites using the Karate API Automation Framework.
- Perform both manual and automated testing to validate application functionality, reliability, and integration behaviour.
- Build reusable automation scripts and common testing components to improve efficiency and maintainability.
- Manage end-to-end automation across API and UI layers wherever required.
- Integrate automated test suites with GitHub Actions and CI/CD pipelines to support continuous testing and reliable releases.
- Execute API testing using tools such as Postman, Bruno, and Rest Assured.
- Perform backend data validation across Amazon DynamoDB and Amazon Redshift to ensure data accuracy and consistency.
- Write and execute SQL queries to validate data, investigate discrepancies, and support test analysis.
- Validate system integrations, data exchanges, and IoT data flows across connected systems.
- Collaborate with engineering, business, and customer teams to understand requirements and translate them into test scenarios.
- Document test plans, test cases, automation scripts, defects, and execution results.
- Identify, investigate, and report defects, perform root-cause analysis, and coordinate resolution with development teams.
- Follow established Software Development Life Cycle (SDLC) and **Software Testing Life Cycle (STLC)**practices.