Senior QA Engineer - Smartphone

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.

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 smartphone 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 smartphone-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 smartphone 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

Deep learning knowledge

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