Talentgigs
Website:
talentgigs.in
Job details:
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.
Click on Apply to know more.