We are seeking a Senior QA Engineer with extensive experience testing desktop applications on Windows and Mac, leading quality strategy, and driving end-to-end testing across complex, cross-device ecosystems. This role requires deep expertise in installation testing, system-level validation, responsive / adaptive UI, AI models validation, strong technical judgment, and the ability to influence engineering and product teams to deliver high-quality desktop experiences at scale for global users by supporting internationalization and localization workflows and automation.
Contract Duration : 12 Months (Potential 12-Month Extension Based on Performance)
Work Location : Onsite – Pune or Bangalore, India
Client : Renowned Multinational Telecommunications Company (to be disclosed during interview)
Responsibilities
- Create and execute scripts for functional UI / UX, AI model automation and testing on desktop applications
- Design and execute test plans for AI models and systems, developing automated testing frameworks and tools tailored for AI validation on languages
- Internationalization testing and language-dependent functional validation
- Test desktop-specific interaction patterns and expanded UI features
- Review designs in collaboration with product / design teams to ensure layout accuracy
- Execute regression, sanity, debugging analysis for validation
- Work with engineering teams to reproduce complex defects
- Log defects clearly and track issues through resolution
- Create detailed test plans, cases, and reports
- Data analysis for testing process improvements
- Mentor QA team members on desktop best practices, workflows, and tooling
- Bachelor’s degree in Computer Science, Engineering, Information Systems, or related field;
Master’s preferred.
Requirements
5+ years of SW QA experience and desktop application testingProgramming languages : Python, Kotlin, Java, C#, Selenium, Bash, PowerShellMLOps Tools (Optional) : NeptuneAI, MLFLow, PyTorch, Diffusers, TransformersDeep learning knowledgeStrong understanding of AI / ML principles, model lifecycle, and data pipelinesDeep understanding of responsive / adaptive design principles and large-screen UX requirementsStrong experience testing across a wide range of devices, resolutions, and form factorsAbility to analyze complex UI behaviors and identify root-cause issues across frontend and device layersExperience defining test strategies, improving QA processes, and partnering with product / engineering leadsStrong communication skills with ability to provide guidance and influence cross-functional teamsTech Stack
Automation : WinAppDriver, TestComplete, AutoIt, Selenium, Appium for MacDebugging : Windows Event Viewer, Process Monitor, Fiddler;Mac Console, Activity Monitor
Installers : MSI, EXE, DMG, InstallShieldCI / CD : Jenkins, TeamCity, GitHub ActionsTools : XML, JSON, INI file validationPerformance : PerfMon, JMeter, Windows Performance RecorderVersion Control : Git, SVNTest Management : Jira