Senior Qa Engineer - Iot

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