QA Engineer - Software & Hardware Integration Specialist

StanceBeam - Sports Technology

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About Us

StanceBeam is a dynamic startup at the forefront of revolutionising sports tech through cutting-edge sports analytics and software-hardware integration solutions. Join our Bangalore-based team as a Software & Hardware Integration QA Engineer! If you&aposre passionate about sports technology, have hands-on experience with software testing and hardware integration, and thrive in start-up environments working on complex IoT ecosystems, this is your role! As a proactive individual contributor with proven software testing and hardware integration experience, you&aposll love experimenting with cutting-edge technology, taking ownership of complex integration testing scenarios, and driving software validation excellence across our integrated platform. This opportunity is perfect for someone with solid software testing background who enjoys working independently with sophisticated software-hardware integrations.

Job Summary:

Software Testing & Hardware Integration

Key Responsibilities:

Software Testing (Primary Focus):

Web Application Testing:

• Perform cross-browser compatibility testing and responsive design validation
• Test user interfaces, workflows, and business logic implementations
• Validate form submissions, data processing, and user authentication flows

Mobile Application Testing:

• Perform device compatibility testing across different screen sizes and OS versions
• Test app performance, battery usage, and memory optimisation
• Validate offline functionality and data synchronisation capabilities

API Testing:

• Validate API responses, error handling, and data integrity
• Execute integration testing between frontend applications and backend services
• Test API rate limiting, authentication, and authorisation mechanisms

Software-Hardware Integration Testing:

Vision-Based AI System Integration:

• Validate software integration with real-time video analytics and machine learning algorithms
• Test software handling of AI model outputs, confidence scores, and decision-making logic
• Validate software performance with vision-based tracking and analysis systems

IoT Device Software Integration:

• Validate software handling of device data collection, processing, and transmission
• Test software integration with device management and monitoring systems
• Validate software handling of device connectivity, status reporting, and error management

Hardware Control Interface Testing:

• Validate software integration with device APIs and communication protocols
• Test software workflows for hardware status monitoring and control commands
• Validate software handling of hardware responses, error reporting, and configuration management

Software Testing Methodologies:

Functional Testing:

• Execute comprehensive test cases for software functionality across all platforms
• Test user workflows, business logic, and feature implementations
• Validate software behaviour under normal and edge case scenarios
• Test error handling, validation messages, and user feedback mechanisms

Integration Testing:

• Test software integrations between different application components
• Validate data flow between software modules and external hardware APIs
• Test software communication with third-party services and external systems
• Validate software handling of hardware status updates and real-time data feeds

Performance Testing:

• Execute software performance tests under various load conditions
• Test software response times, throughput, and resource utilisation
• Validate software scalability with multiple concurrent users and data processing
• Test software performance when interfacing with hardware components

Security Testing:

• Test software security features, authentication, and authorisation mechanisms
• Validate software handling of sensitive data and compliance requirements
• Test software integration security with hardware authentication systems
• Validate software protection against common security vulnerabilities

What You&aposll Own:

• Execute comprehensive software testing activities

  across web, mobile, and backend systems

• Implement software integration testing protocols

  for hardware-connected components

• Own software validation execution

  from development to production readiness

• Coordinate with development teams

  for software defect resolution and verification

• Maintain automated testing frameworks

  for continuous software validation

• Ensure adherence to software quality standards

  and testing best practices

Skills and Qualifications:

Essential Software Testing Experience:

• 2-5 years of hands-on experience in software testing

  (web applications, mobile apps, APIs)

• Strong experience with manual testing methodologies

  and test case design

• Proven experience in API testing

  using tools like Postman, REST Assured, or similar

• Experience with mobile application testing

  on iOS and Android platforms

• Knowledge of database testing

  and SQL query validation

• Understanding of software integration testing

  with external systems and services

Hardware Integration Understanding:

• Communication Protocols:

  Good understanding of MQTT, TCP/IP, UDP, HTTP/HTTPS, and IoT communication protocols

• Hardware-Software Interfaces:

  Knowledge of how software interfaces with hardware components through APIs and drivers

• Vision-Based AI Systems:

  Understanding of computer vision applications, AI model integration, and real-time video processing

• IoT Architecture:

  Knowledge of IoT device communication, edge computing, and software-hardware data exchange

Education & Certifications:

• Bachelor&aposs degree in Computer Science, Information Technology, Electronics Engineering, or related technical field

• Quality assurance certifications

  are a plus

Preferred Experience (Highly Valued):

• Previous experience with sports technology, fitness applications, or hardware integration
• Background in testing applications that integrate with hardware devices or IoT systems
• Experience with computer vision applications, AI/ML systems, or video processing software
• Knowledge of sports analytics software, performance measurement applications, or data visualisation tools