Job Description

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

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