QA Engineering Lead

MetaBellevue, WA
57d

About The Position

Meta Platforms, Inc. (Meta), formerly known as Facebook Inc., builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps and services like Messenger, Instagram, and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. To apply, click “Apply to Job” online on this web page.

Requirements

  • Bachelor's degree (or foreign degree equivalent) in Computer Science, Computer Engineering, Information Technology, or a related field followed by 5 years of progressive, postbaccalaureate work experience in the job offered or in a quality assurance or computer-related occupation
  • Requires 5 years of experience in the following skills: Quality assurance and test engineering experience
  • Python, PHP, C, C++, or Java
  • Testing and debugging web or mobile applications
  • Test planning, test designing and execution, performance and stress testing, implementing and maintaining quality test automation of both client and server systems
  • Analytical and problem-solving experience
  • Knowledge of industry standard test automation tools & automation frameworks

Responsibilities

  • Work on building a quality-driven engineering culture that helps ship products rapidly and with good confidence.
  • Drive the quality for a product/feature, assess risks to and ensure shipping features with a high quality bar.
  • Plan, develop, and execute test strategy across core Meta products and platforms.
  • Lead Quality Assurance efforts that align with product objectives and develop scalable solutions.
  • Help tackle cross-platform engineering challenges and contribute creative ideas to improve quality.
  • Implement and evolve QA processes to get effective test signal and scale testing efforts across multiple products.
  • Define Quality Metrics and implement measurements to determine test effectiveness, testing efficiency, and measure the overall quality of the Product.
  • Partner with engineering and infrastructure teams to leverage automation for scalable solutions to prevent regressions and ensure reliability of product.
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