QA Engineering Lead: AI‑Powered Quality at Scale

Meta; Greater London; On-site; GBP 120,000 - 170,000; Full time

Job summary

Meta is seeking a Quality Assurance Test Engineering Lead to define and lead QA frameworks and testing methodologies across large-scale consumer and platform products. You will partner with engineering, product, and data science teams to ensure reliability, performance, and user experience while shaping quality into the development lifecycle at scale.

The role emphasizes test architecture, automation, and quality systems, with opportunities to influence product roadmaps and leverage AI-driven

Qualifications

• 6+ years in quality assurance test engineering, including test strategy definition and release quality validation.

Responsibilities

• Define and drive QA strategy and testing roadmap for large-scale product areas.
• Implement scalable test automation frameworks for web and mobile platforms.
• Identify systemic quality gaps and implement corrective interventions.
• Embed quality practices early in the lifecycle with cross-functional teams.
• Establish and monitor quality metrics, coverage signals, and release health indicators.
• Lead evaluation and adoption of AI-integrated testing workflows.
• Identify high-impact quality risks and drive mitigation strategies.
• Contribute to organizational quality standards and processes across teams.
• Manage staged rollout validation with feature flags and A/B testing.

Skills

Quality Assurance

Test automation

Cross-functional influence

Metrics & quality data

AI-assisted testing

Quality strategy

Production monitoring

Education

Bachelor's degree in Computer Science/Engineering

Tools

AI testing tools

Job description

Meta is seeking a Quality Assurance Test Engineering Lead to define and lead QA frameworks and testing methodologies across large-scale consumer and platform products. You will partner with engineering, product, and data science teams to ensure reliability, performance, and user experience while shaping quality into the development lifecycle at scale.

The role emphasizes test architecture, automation, and quality systems, with opportunities to influence product roadmaps and leverage AI-driven