Must have – Google Cloud Platform, Gemini, fluent in Mandarin
Deep Google GenAI Stack: Vertex AI (Pipelines, Endpoints, Vector Search), Gemini APIs, and Agentic architectures (Function Calling, Agent Development Kit, Agent Builder).
Core GCP Infra: Solid understanding of how ML model deployments interact with BigQuery, IAM, Cloud Storage, and VPCs.
High-Severity Leadership: Excellent interpersonal ability to manage P1/P2 crises and deliver technical root-cause analyses directly to enterprise customers and accelerate L1 L2 teams
Ideal: Systems & Code Debugging skills, Strong Python coding/debugging skills, API troubleshooting, and distributed systems log analysis (Cloud Logging/Monitoring).
Secondary Skill:
Stakeholder management
Escalation handling
Cross-functional collaboration
Communication skills
Problem-solving
Ownership & accountability
Description:
This role falls in the Tier 3 Support and plays as the bridge between our frontline representatives (who are already Associate Cloud Engineer certified) and Google Product Engineering.
Act as the ultimate technical escalation point for complex enterprise issues across Vertex AI, Gemini/Gemini Enterprise, and Vertex AI Agent Builder.
8+ years in Tier 3 Technical Support, SRE, and AI/ML Engineering.
Mandarin Fluency (Spoken & Written) for direct engagement with enterprise customers and stakeholders.