SDET–BackendQAPlatformEngineer

## Accountabilities Design, develop, and maintain scalable backend QA systems and automated testing frameworks supporting IoT, machine learning, and data analytics platforms. Build and execute automated test suites using tools such as Selenium and pytest to ensure system reliability and performance. Develop backend services and test infrastructure using Python and frameworks such as Flask, ensuring robustness in 24/7 production environments. Integrate testing systems with relational and NoSQL databases, APIs, and existing data storage solutions. Create dashboards, reports, and quality metrics to monitor system health, test coverage, and regression results. Collaborate with engineering teams to embed automated testing into CI/CD pipelines and software development workflows. Identify QA process gaps and drive continuous improvement in testing strategies, tools, and best practices. Support backend development efforts for production systems when needed, ensuring seamless integration between QA and engineering. Implement monitoring and diagnostic solutions using tools such as Datadog or similar observability platforms. Ensure test systems are scalable, maintainable, and aligned with modern cloud and data engineering standards. Requirements: Bachelor’s degree in Computer Science, Engineering, or equivalent practical experience. 6+ years of backend engineering or QA automation experience in complex software environments. Strong programming experience in Python, with deep expertise in backend development and test automation. Hands-on experience building automated testing frameworks using Selenium and pytest. Solid understanding of SQL and relational databases, along with familiarity with NoSQL systems. Experience developing and integrating backend systems using Python-based frameworks such as Flask. Familiarity with frontend fundamentals including JavaScript, HTML, and CSS for testing and integration purposes. Experience working with version control systems and integrating