Senior QA Engineer - PC

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 testing
• Programming languages: Python, Kotlin, Java, C#, Selenium, Bash, PowerShell
• MLOps Tools (Optional): NeptuneAI, MLFLow, PyTorch, Diffusers, Transformers
• Strong understanding of AI/ML principles, model lifecycle, and data pipelines
• Deep learning knowledge
• Deep understanding of responsive/adaptive design principles and large-screen UX requirements
• Strong experience testing across a wide range of devices, resolutions, and form factors
• Ability to analyze complex UI behaviors and identify root-cause issues across frontend and device layers
• Experience defining test strategies, improving QA processes, and partnering with product/engineering leads
• Strong communication skills with ability to provide guidance and influence cross-functional teams

Tech Stack

• Automation: WinAppDriver, TestComplete, AutoIt, Selenium, Appium for Mac
• Debugging: Windows Event Viewer, Process Monitor, Fiddler; Mac Console, Activity Monitor
• Installers: MSI, EXE, DMG, InstallShield
• CI/CD: Jenkins, TeamCity, GitHub Actions
• Tools: XML, JSON, INI file validation
• Performance: PerfMon, JMeter, Windows Performance Recorder
• Version Control: Git, SVN
• Test Management: Jira