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Meta

QA Engineering Lead

Meta · AR/VR, Hardware

London

Lead / Manager

QA & TestCI/CD

Last seen 1w ago

Posted
1mo ago

Posted on 26 August 2026

Workplace
Not specified

Work model not stated

Salary
Not disclosed

Salary range not shared by the company

Visa sponsorship
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Meta is seeking a Quality Assurance Test Engineering Lead to drive product quality strategy across large-scale consumer and platform products. In this role, you will define and lead quality assurance frameworks, establish testing methodologies, and partner with engineering, product, and data science teams to ensure that Meta's products meet the highest standards of reliability, performance, and user experience. You will apply deep expertise in test architecture, automation, and quality systems to influence product roadmaps and shape how quality is built into the development lifecycle at scale.Responsibilities

Define and drive the quality assurance strategy and testing roadmap for large-scale product areas, aligning cross-functional teams around shared quality objectives

Implement scalable test automation frameworks covering functional, regression, integration, and end-to-end testing across web and mobile platforms

Identify systemic quality gaps through root cause analysis and implement corrective interventions that improve overall product reliability and test coverage

Partner with engineering, product management, and data science teams to embed quality practices early in the development lifecycle, including requirements review and risk-based test planning

Establish and monitor quality metrics, test coverage signals, and release health indicators to inform go/no-go decisions and communicate quality posture to leadership

Lead the evaluation and adoption of AI-integrated testing workflows, including using AI tools to accelerate test generation, defect triage, and coverage analysis

Proactively identify high-impact quality risks across multiple product teams and drive mitigation strategies that reduce customer-facing defects

Contribute to organizational quality standards and processes, influencing how quality engineering is practiced across teams and product areas

Manage staged rollout validation using feature flagging and A/B testing frameworks to assess product quality in production environments

Minimum Qualifications

Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience

6+ years of experience in quality assurance test engineering, including test strategy definition, test automation architecture, and release quality validation for consumer-facing or platform products

Experience designing and implementing scalable test automation frameworks across functional, integration, regression, and end-to-end testing domains

Experience leading cross-functional quality initiatives, influencing engineering and product teams on quality standards, risk assessment, and testing methodologies

Experience analyzing quality metrics, defect trends, and test coverage data to drive measurable improvements in product reliability and release confidence

Experience with feature flagging systems, staged rollout validation, and production quality monitoring as part of a continuous delivery pipeline

Preferred Qualifications

Demonstrated track record of building quality engineering programs or centers of excellence that raised quality standards across multiple product teams

Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements)

Experience defining quality assurance strategy for mobile platforms (iOS and Android) at scale, including device fragmentation and platform-specific testing challenges

Experience with performance testing, load testing, or chaos engineering methodologies to validate product reliability under real-world conditions

Experience applying AI or machine learning tools to accelerate test generation, defect classification, or coverage gap analysis in a software quality context

Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologies

About Meta

Meta concentrates its European engineering in Dublin, London and Paris, working on infrastructure, AI and core product. Headcount has been volatile since 2022, so treat the size of the board as a snapshot rather than a trend.