QA Engineer

Description ' : - ( - )Experience: 6+ yrsLocation: 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.
• Support regression testing, integration testing, release validation, and continuous quality improvement.