Devices - Senior QA

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