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Lead QA Engineer - Connected Devices

Lead QA Engineer - Connected Devices

TransPerfectBengaluru, Republic Of India, IN
4 days ago
Job description

We are seeking a Senior QA Engineer with extensive experience testing connected devices, firmware, companion apps, cloud interfaces, 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 IoT 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 SW 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 IoT-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, OTA firmware update testing
  • Log defects clearly and track issues through resolution
  • Create detailed test plans, cases, and reports
  • Work with engineering teams to reproduce complex defects
  • Data analysis for testing process improvements
  • Mentor QA team members on IoT 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
  • 3+ years of IoT devices or embedded systems experience
  • Strong understanding of AI / ML principles, model lifecycle, and data pipelines
  • Programming languages : Python, Kotlin, Java, C++ (optional)
  • Software Development : Android Studio, Jenkins (optional)
  • MLOps Tools (Optional) : NeptuneAI, MLFLow, PyTorch, Diffusers, Transformers
  • 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

  • Protocols : Bluetooth, BLE, Zigbee, WiFi, NFC, MQTT
  • Testing Tools : Firmware flashing tools, Bluetooth sniffers, network analyzers, UART logs, serial monitors
  • Automation : Python scripts, Robot Framework, UIAutomator
  • Companion App Tools : Appium, Android Studio, Xcode
  • Cloud Tools : AWS IoT, Azure IoT Hub, Google Cloud IoT, MQTT Explorer
  • Diagnostics : Wireshark, packet sniffers
  • Test Management : Jira
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    Lead Qa • Bengaluru, Republic Of India, IN

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