SDET 2

Role & responsibilities

• Primary role will be quality and timely delivery of the application/feature/module your team will be working on
• Analysis of requirements, preparing a query list based on those requirements
• Participation in test planning meetings and providing feedback to the testing/product teams
• Conducting exploratory testing simultaneous test design and execution
• End-to-end testing of Android and iOS mobile applications, including functional, regression, integration, compatibility and release validation
• Writing Automation test scripts with the aim to carry out automated regression tests after every update and release of the new software version
• Hands-on development and maintenance of mobile automation using Appium for Android and iOS applications
• Use AI-assisted testing and engineering tools for test case generation, automation development, test data creation, failure analysis and debugging
• Explore AI/LLM-based approaches to improve automation coverage, test analysis and QA productivity
• Collaborate with the development team to assess or diagnose problems and suggest possible solutions

Preferred candidate profile

• Bachelor's degree in Computer Science, Software Engineering, or a related technical discipline
• Experience of 3-5 Years
• Expertise in Manual testing with experience in writing and executing the test cases Expertise in any Software programming language-preferably Java
• Experience in writing test automation scripts and good understanding of standard automation frameworks
• Hands-on experience in Mobile application testing on Android and/or iOS Hands-on experience with Appium for mobile application automation. Knowledge of CI tools like Maven, Jenkins, Github and related build deployment processes
• Hands-on experience in API Testing (HTTP and RESTful web services) using JMeter/postman etc.
• Working experience on testing web applications with databases such as (SQL/Mongo DB, etc.)
• Strong knowledge of software QA methodologies, tools and processes with Understanding the SDLC (Software Development Life Cycle) Models - AGILE, Sprint etc. Exposure to AI/LLM-based testing tools, AI-assisted automation, prompt engineering or AI-driven QA workflows is preferred (Claude, Cursor etc)