Role Overview We are seeking a Senior SDET / Automation QA Engineer with strong ownership of quality, deep expertise in backend/API automation, and hands-on experience in mobile automation. The ideal candidate is automation-first, comfortable working with production systems, and actively uses AI tools to improve test effectiveness and productivity. • Strong debugging and problem-solving skills • High ownership and accountability for quality • Thinks beyond test cases and focuses on system reliability and scalability • Comfortable working in fast-paced, evolving product environments Key Responsibilities • Design, develop, and maintain automation frameworks for backend/API and mobile applications • Own API automation using REST Assured and/or Karate DSL • Perform backend testing for microservices including business logic, integrations, and edge cases • Build and maintain mobile automation suites using Appium (Android/iOS) • Validate data using MySQL / SQL queries • Analyze application and system logs to debug test and production failures • Work in Linux/Unix environments for log analysis and troubleshooting • Use Kibana / ELK dashboards to investigate issues and understand system behavior • Leverage AI-powered tools (e.g., ChatGPT, Copilot, test generation tools) for automation, debugging, and test optimization • Integrate automation suites into CI/CD pipelines • Collaborate closely with developers, product managers, and DevOps teams to shift quality left • Drive automation best practices, test strategies, and quality metrics Must-Have Skills • 4–6 years of experience as SDET / Automation QA • Strong experience in Backend & API Testing • Hands-on API automation using REST Assured and/or Karate DSL • Strong programming fundamentals (Java preferred) • Experience with mobile automation using Appium • Proficiency in MySQL / SQL for backend data validation • Strong working knowledge of Linux/Unix • Experience analyzing logs for debugging and root cause analysis • Hands-on experience with Kibana / ELK stack • Practical usage of AI tools to improve test coverage and efficiency • Solid understanding of SDLC, testing principles, and automation best practices Good to Have • Experience testing microservices-based architectures • Exposure to Kafka, RabbitMQ, or other message queues • Performance testing exposure (JMeter or similar) • CI/CD tools (Jenkins, GitHub Actions, GitLab CI) Prior experience in a product-based company