Quality Assurance Engineer - Head

Role: Head of quality engineering Experience: 12-18 Years Location: Noida JD: Key Responsibilities QE Transformation - Transform QA from execution-centric testing into an engineering-led quality practice and build a culture of proactive risk identification and production-focused validation. Regression Strategy & Test Architecture - Redesign regression strategy using risk-based and impact-based testing principles. Ensuring that regression suite does not bloat with new use cases Performance Engineering - Build modular and diagnosable performance engineering frameworks.

Replace huge end-to-end performance suites with observable benchmarking approaches. Define workload modelling, concurrency testing, scalability benchmarking, and release-over-release performance baselines. Partner with engineering and DB teams to identify bottlenecks Automation & Engineering Excellence - Define scalable automation architecture and automation standards.

Improve automation reliability, maintainability, and CI/CD integration. Reduce flaky tests and excessive UI dependency. Cross-Functional Leadership, across engineering, Product, Architecture, Devops, Support and Cient Services Metrics & Governance - Define meaningful, outcome driven quality metrics Required Skills & Experience Experience - 12–18+ years in Quality Engineering / Testing. 5+ years leading QA transformation initiatives in product organizations.

Strong experience in enterprise product companies preferred. Technical Skills - Strong hands-on understanding of: enterprise application architecture, API and integration testing, performance engineering, database systems (Oracle, PostgreSQL, MSSQL), batch processing systems, concurrency and scalability testing, automation frameworks, CI/CD quality integration, and production diagnostics. Domain Experience - Preferred experience in one or more domains fintech domain esp reconciliation Leadership Expectations - The ideal candidate should think independently and challenge assumptions, bring strong systems thinking coach teams toward exploratory and production-risk-oriented testing, influence engineering teams technically, and drive measurable quality improvements at organizational scale..

Education Bachelor’s or master’s degree in engineering / computer science or related discipline. Nice to Have Experience with distributed systems and cloud-native platforms. Exposure to observability platforms and production monitoring.

Experience establishing performance labs and benchmarking frameworks. Exposure to SRE or reliability engineering practices.