QA Engineer (End-to-End Testing)
Role details
Job location
Tech stack
Job description
· quality engineering practices across the SDLC, ensuring testability, automation, and early defect detection · Partner with product owners to define clear, testable acceptance criteria · Apply relevant testing approaches to improve product reliability and customer experience across distributed systems and multi-team platform environments · Adopt and operationalize quality metrics (coverage, defect leakage, cycle time) to drive continuous improvement · Lead test strategy across UI, API, integration, and data layers · Drive adoption of AI-assisted quality engineering (e.g., agentic test generation, intelligent failure analysis, and self-healing automation) to improve productivity, coverage, and defect detection. · Drive efficient test execution through CI/CD integration and shift-left practices · Build and scale automation frameworks using modern tools (e.g., Playwright, Karate) · Identify and remove delivery bottlenecks using data-driven insights · Collaborate with distributed teams and manage external testing partners where required · Provide clear, executive-level reporting on quality, risks, and release readiness. · Integrate quality signals with observability and production insights to enable proactive defect detection and faster resolution.
Requirements
· Experience of working in a continuous delivery model · Significant experience within a testing role, thinking and acting end user pseudo. · Hands-on experience implementing test automation frameworks and practices and experience in implementing automation using Playwright, Karate and Database Testing. · Hands on Knowledge of using AI in Software testing · Experience of test planning, test estimation, risk analysis and test case design. · Experience in monitoring and reporting test progress and tracking/analysis of defect trends · Experience of test requirement identification, tracking and analysis. · Ability to determine and dictate relevant test types, methods and approaches (e.g. appropriate uses of automation) · Good team leadership and people skills. · Strong written and verbal communication skills. · Excellent working knowledge of test methodologies and development approaches such as Kanban and Waterfall. · Experience working with offshore testing resource / resource centers in a service delivery model. · Highly organized and detail oriented. · Self-starter. Ability to work autonomously with little support. · Ability to work well under pressure and meet deadlines.