Role Description We are seeking a highly skilled Lead SDET who will own the design, development, and maintenance of our automation frameworks across Web, and React Native applications. This role requires deep technical expertise in TypeScript/JavaScript, building frameworks from scratch, and working with modern tools such as Playwright, Appium, and WebdriverIO. The Lead SDET will ensure reliable, scalable automation integrated with CI/CD pipelines and executed on cloud device platforms like BrowserStack and AWS Device Farm. Strong communication and collaboration skills are essential, as this role partners closely with Engineering, QA, and Product teams to drive a high-quality delivery culture. - Design and develop automation frameworks for: - Web using Playwright (TypeScript/JavaScript) - React Native Android & iOS apps using Appium with WebdriverIO [TS/JS] - Build scalable, maintainable automation architecture with reusable utilities, components, and reporting. - Develop robust automated test suites for regression, smoke, and end-to-end validation. - Execute tests across virtual and real devices using BrowserStack and AWS Device Farm. - Integrate automation into CI/CD pipelines (GitHub Actions, Jenkins, GitLab CI, etc.). - Diagnose and resolve automation failures, flaky tests, and environment issues. - Collaborate with developers, QA analysts, and product managers to define testability requirements. - Participate in requirement reviews, feature grooming, and design discussions. - Maintain automation documentation, best practices, and coding standards. - Communicate clearly with cross-functional teams and ensure transparency on automation progress and risks. Qualifications - 6+ years of hands-on experience in QA Automation / SDET roles. - Strong hands-on experience in test automation, specifically building frameworks from scratch. - Proficiency in TypeScript/JavaScript. - Expertise with: - Playwright for Web UI automation - Appium + WebdriverIO for Android/iOS React Native apps - Experience running automation on BrowserStack, AWS Device Farm, or similar cloud platforms. - Solid understanding of CI/CD pipelines and Git. - Strong debugging skills for both web and mobile applications. - Excellent verbal and written communication skills and ability to collaborate effectively. - Must be comfortable to work in the US hours at least till 2:30 pm EST. Requirements - Experience with API automation (Playwright API, Postman, or other tools). - Familiarity with performance, network, or accessibility testing. - Experience with Docker or containerized execution environments. - Knowledge of Allure, ReportPortal, or similar reporting tools. - Exposure to advanced mobile testing scenarios (deep links, notifications, analytics validation). - Experience mentoring junior QA or SDET engineers.

• Taking ownership for testing your products, creating test strategies and delivering high-quality software solutions. • Using software development skills to develop tools, test frameworks and automation of the testing process. • Collaborating with software engineering teams in an Agile environment on code review, design process and product development. • Influencing and shaping the design process and product development.

• Design and develop automated test frameworks, scripts, and tools across our products. • Collaborate with developers and QA peers to define testing requirements and priorities. • Execute and maintain automated test suites for functional, performance, and regression testing. • Identify, document, and communicate software defects and inconsistencies. • Ensure automated testing aligns with Cyntegrity’s validation, GxP, and regulatory requirements. • Update tests in response to product changes and ensure continuous test reliability. • Track quality metrics (e.g., defect densities, test coverage) to guide process improvements.

• Design and execute comprehensive performance test strategies — Load, Stress, Soak, Spike, Scalability, and Endurance testing. • Develop and maintain performance scripts using tools such as JMeter, Gatling, LoadRunner, Locust, or k6. • Simulate realistic user traffic and workload models for distributed systems. • Perform root cause analysis across application, API, database, and infrastructure layers. • Define and maintain performance baselines, SLAs, and SLOs. • Integrate performance tests into CI/CD pipelines for continuous validation. • Build AI-driven performance analysis frameworks using pattern recognition and anomaly detection. • Develop custom test agents/orchestrators using MCPs to simulate large-scale, multi-node workloads. • Implement self-healing test systems that adapt dynamically to environment changes. • Use ML models to predict performance degradation and proactively optimize systems. • Automate root cause detection with AI-assisted observability insights. • Use observability tools (Grafana, Prometheus, Datadog, New Relic, AppDynamics) to monitor and analyze performance metrics. • Create visual dashboards to communicate trends and optimization opportunities. • Collaborate with SRE and development teams for end-to-end performance tuning. • Partner with engineering, QA, and platform teams early in the SDLC to define performance goals. • Conduct post-release reviews and contribute to testing standards and best practices.