Skip to contentQA Engineering Lead
Company | Meta |
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Location | Menlo Park, CA, USA |
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Salary | $186000 – $254000 |
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Type | Full-Time |
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Degrees | Bachelor’s |
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Experience Level | Expert or higher |
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Requirements
- Bachelor’s degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience
- Extensive experience with industry-standard test automation tools and frameworks
- 10+ years of quality engineering and/or test engineering experience, with a focus on large-scale systems
- Proven track record in architecting and executing complex test strategies and frameworks
- Hands-on experience with performance, stress testing, and quality test automation for both mobile and web applications
- Proficiency in programming languages such as Python, PHP, Java, C/C++, or equivalent
Responsibilities
- Architect and lead the implementation of comprehensive product quality strategies across Meta’s wide-ranging product lines, including consumer and business products
- Design and develop advanced test frameworks and methodologies for mission-critical projects to ensure product integrity before launch
- Lead the integration of AI-driven testing tools and methodologies, leveraging AI to enhance test coverage, efficiency, and accuracy
- Stay abreast of AI advancements and their implications on product quality, proactively adapting QA strategies to harness AI’s potential
- Mentor and guide a team of QA leads and engineers, fostering quality work and continuous improvement
- Collaborate with cross-functional teams (Engineering/PM/Operations) to ensure comprehensive QA coverage and provide strategic feedback on quality issues
- Partner with engineering and infrastructure teams to drive the adoption of automation and scalable solutions to prevent regressions and enhance product reliability
- Evaluate and influence the release process, ensuring timely delivery of high-quality products
- Define, implement, and optimize QA processes to scale testing efforts across the organization
- Establish and champion quality metrics that measure test effectiveness, efficiency, and overall product quality
Preferred Qualifications
- Expertise in leveraging data analytics to drive product quality improvements
- Experience leading cross-functional engineering teams across global locations
- Demonstrated creativity and initiative in enhancing product quality coverage and effectiveness
- Demonstrated communication skills, with the capacity to engage technical and non-technical stakeholders at all organizational levels
- Demonstrated experience in thriving in an ambiguous environment, with an outstanding capacity for self-prioritization and project management
- Experience in project management methodologies, tools, and phases of a project lifecycle