Senior QA Engineer
4 hours 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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