Senior QA Engineer
4 days ago
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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