Senior QA Engineer

2 hours ago

Bengaluru Karnataka India, Karnataka TransPerfect Full time

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

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