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Senior QA Engineer - Tablet

TransPerfect

BangaloreOn-site1mo ago
Employment
Contract
Seniority
Senior

About the role

Contract: 12 months (with potential extension based on performance)

Client: A leading multinational telecommunications company – Motorola

 

Overview:

 

We are seeking a Senior QA Engineer with extensive experience testing smartphone applications, leading quality strategy, and driving end-to-end testing across complex, cross-device ecosystems. This role requires deep expertise in responsive/adaptive UI, AI models validation, strong technical judgment, and the ability to influence engineering and product teams to deliver high-quality smartphone experiences at scale for global users by supporting internationalization and localization workflows and automation. 

 

Responsibilities:

 

·         Create and execute scripts for functional UI/UX, AI model automation and testing on tablet 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 tablet-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 tablet best practices, workflows, and tooling

 

Requirements:

 

  • Bachelor’s degree in Computer Science, Engineering, Information Systems, or related field; Master’s preferred.

  • 5+ years of SW QA experience

  • Programming languages: Python, Kotlin, Java, C++ (optional)

  • Software Development: Android Studio, Jenkins (optional)

  • MLOps Tools (Optional): NeptuneAI, MLFLow, PyTorch, Diffusers, Transformers

  •  Strong understanding of AI/ML principles, model lifecycle, and data pipelines

  • 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: Appium, Espresso, XCUITest, UIAutomator

·         Design Tools: Figma, Zeplin, Sketch

·         Debugging: Xcode, Android Studio

·         Device Clouds: TestFlight

·         CI/CD: Jenkins, GitLab, GitHub

·         Test Management: Jira

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