Senior Software QA Engineer / QA Test Leader

Led quality validation for enterprise security, networking, cloud, virtualized, and on-premise software products. Owned functional, integration, system, regression, and release testing, including test strategy, test planning, risk-based coverage, and release-readiness criteria.

Collaborated with developers, product teams, and customer support to investigate critical issues, reproduce failures, analyze logs and configurations, document root-cause evidence, and verify fixes. Performed system-level validation for authentication, policy management, cloud integrations, reporting, networking, and multi-component workflows across AWS, GCP, VMware, Linux, and Windows.

Contributed to defect triage, production-risk assessments, quality gates, and go/no-go recommendations. Led and mentored QA team members while supporting automation with Robot Framework, Python, PyTest, UI/API automation, Jenkins, and GitLab CI/CD. Improved regression efficiency by 40%, supported more than 4,000 automated UI/API scenarios, and improved automated execution performance by approximately 90%.

Led functional, integration, system, regression, and validation testing for embedded digital projection and collaboration products involving hardware, software, and firmware interactions. Created test plans, validation strategies, test cases, and system-level scenarios based on requirements, architecture, customer workflows, and technical risks.

Investigated complex and intermittent failures through issue reproduction, log review, comparison of known-good and failing systems, and isolation of hardware, firmware, software, configuration, and resource-related differences. Partnered with software, firmware, hardware, and support teams to communicate evidence, troubleshoot defects, and verify corrective actions.

Performed negative, recovery, reliability, and performance-oriented validation in addition to functional and regression testing. Balanced manual system testing with automation of repeatable UI/API workflows, identified bottlenecks that contributed to approximately 25% better system responsiveness, and mentored junior QA engineers on test design and defect investigation.