微信-质量管理工程师
Core
Manage the full lifecycle of live network incidents, build and optimize quality management systems for R&D and operations, and proactively identify risks to shift quality assurance from reactive to proactive.
Role type
Senior IC Quality Management Engineer (AI-enabled)
Builds
Incident response workflows, quality standards, and proactive risk prevention mechanisms
Domain
Internet services / System reliability
Deliverable
production ML models
Required skills
Incident lifecycle management, cross-team coordination, risk identification, data-driven analysis, AI tool integration, system architecture understanding, fault root cause analysis
Preferred skills
Coding ability, proven AI efficiency cases, Google SRE/ITIL expertise
Technologies
AI tools, Google SRE, ITIL
Responsibilities
Respond to and coordinate recovery of live network incidents; establish quality norms and drive adoption across teams; implement early warning systems for potential risks; leverage AI tools to enhance quality management efficiency.
