Senior QA Engineer - Tablet

TransPerfect Is More Than Just a Job…

Our greatest asset is our people, and nothing is more important to us than ensuring that everyone knows that. Each of our 100+ offices has its own individual identity, and each also has its own unique rewards.

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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