QA Engineering Lead

QA Engineering Lead Responsibilities

• Plan, develop and execute product quality strategies for Meta's products
• Develop test strategies for business critical projects to ensure product correctness before launch
• Collaborate with a team of in-house and offshore testers to conduct black box testing
• Spearhead initiatives that influence engineering organizations to build a quality-driven approach
• Partner with engineering and infrastructure teams to leverage automation for scalable solutions to prevent regressions and ensure reliability of products
• Identify gaps and opportunities to improve quality
• Define and implement QA processes to optimize and scale testing within the product
• Establish and drive the adoption of quality metrics that help measure test effectiveness, efficiency, and overall quality of product
• Assess non-functional (e.g. i18n, l10n, a11y) product quality in collaboration with other quality focused teams and provide key insights to product teams
• Engage and influence stakeholders across all levels and functions to keep them informed of the quality program's progress and secure their buy-in on critical decisions

Minimum Qualifications

• Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience
• 7+ years of quality Engineering and/or test engineering experience
• Experience with QA process and methodologies
• Hands-on experience with planning, designing, executing tests and knowledge of performance and stress testing
• Experience implementing and maintaining quality test automation for both mobile and web applications
• Experience in coordinating testing efforts between onsite and offshore teams
• Experience in Python, PHP, Java, C/C++ or equivalent coding language

Preferred Qualifications

• Experience in leveraging data to improve product quality
• Experience communicating with technical and non-technical stakeholders across all levels of the organization
• Experience in technical leadership, project management, and executive communication
• Experience in project management approaches, tools and phases of a project life cycle
• Experience working across multiple cross functional engineering teams globally
• Experience of industry standard test automation tools and automation frameworks
• Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologies
• Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements)
• Experience navigating ambiguous problem spaces by defining scope, identifying priorities, and driving clarity for cross-functional partners
• Demonstrated ability to adhere to and implement responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy reviews)