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

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

• Bachelors or masters 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.