QA Engineer IoT & Cloud Testing

Role & responsibilities

• Define and own the end-to-end test strategy across edge devices and cloud services.
• Design and build automated test suites covering regression, integration, and performance testing.
• Validate data integrity across the complete data pipeline, from edge devices through cloud services to dashboards.
• Execute failure-scenario testing and validate system recovery and resilience mechanisms.
• Conduct sustained-run performance testing on real hardware.
• Perform end-to-end validation of IoT systems across edge, device-to-cloud communication, and cloud services.
• Identify, document, and track defects and work closely with development teams to support resolution.
• Validate system reliability, performance, and data consistency across distributed components.

Preferred candidate profile

• 2+ years of experience in test engineering, preferably working with distributed systems or IoT platforms.
• Strong experience in QA and test automation using Python and pytest.
• Hands-on experience in regression, integration, and performance testing.
• Experience validating distributed systems and end-to-end data pipelines.
• Good understanding of IoT systems, edge devices, and cloud-based services.
• Experience testing data integrity across device-to-cloud and cloud-to-dashboard workflows.
• Ability to design and execute failure-scenario testing and validate system recovery mechanisms.
• Experience conducting sustained-run performance testing on real hardware.
• Strong analytical and problem-solving skills with attention to system reliability, performance, and data consistency.
• Ability to work closely with software development teams in a technical, distributed-systems environment.