Role Overview

We are seeking a Senior SDET / Automation QA Engineer with solid 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
Solid 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
Robust 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

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