QA Engineering Lead

Meta•Seattle, WA

1d•$163,000 - $224,000

About The Position

Meta Reality Labs is a leader in the design of wearables systems. We are seeking individuals with experience building software products and improving engineering efficiency to join our team as QA Lead. As a QA Lead, you will ensure the delivery of high-quality software and platforms for wearables product lines, working alongside expert software engineers and research scientists to create technology that makes wearables pervasive and universal.

Requirements

Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience
8+ years of experience driving Quality Assurance (QA) strategy and/or equivalent experience
Experience working with Python, PHP, Java, C/C++ or equivalent language
Experience debugging applications on Platform, PC, and Mobile components
Experience building, shipping, and maintaining commercial software on top of consumer electronic devices
Experience with test planning, test designing, and execution, and performance and stress testing
Experience partnering and/or collaborating across multiple teams up to the leadership level

Nice To Haves

Experience in managing black box and white box testing
Experience in quality assurance within the virtual reality domain
Experience establishing and maintaining quality processes such as test plans, defect tracking workflows, and release readiness criteria across product lines

Responsibilities

Build a test-driven engineering environment that drives improvements in quality
Implement process changes to scale testing efforts across multiple products
Plan, develop, and execute test coverage for multiple platforms
Identify, test, track, and report KPI trends over the course of projects
Diagnose issues, report defects, and propose regression tests to discover reoccurrences
Work with engineers and project leads to triage and prioritize issues for resolution
Own the process of creating metrics to measure and monitor product performance
Partner with Automation and Infrastructure team to leverage automation to allow better reliability and scalability
Analyze complex data, feedback, and user sentiment to identify improvements to products and software
Funnel learnings back to development teams in a consistent and digestible manner to continuously improve products