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Mandarin-Speaking Technical Support Engineer

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Onsite

Mandarin-Speaking Technical Support Engineer

inter island group

Mandarin-Speaking Technical Support Engineer

Skills

Google Cloud PlatformPythonMachine LearningAI

12 days ago

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Important information


Contract type:

Permanent

Location:

Kuala Lumpur, Federal Territory of Kuala Lumpur, Malaysia

Work mode:

Onsite

Published on:

12 October 2026

What they need


Mandarin-Speaking Technical Support Engineer

Location: Kuala Lumpur, Malaysia
Employment Type: Full-Time, Long-Term Opportunity

About Us

We provide recruitment and IT consulting services to Tier-1 multinational clients across industries including Banking & Financial Services, Insurance, Retail, Aviation, Automotive, Energy, and Consumer sectors.

About the Opportunity

We are looking for experienced Mandarin-speaking Technical Support Engineers with deep expertise in Google Cloud AI/ML technologies to support complex enterprise-level technical issues.

In this Tier 3 support role, you will serve as the key technical escalation point between frontline support teams and Google Product Engineering, helping resolve critical issues involving Vertex AI, Gemini, and AI agent development technologies.

If you have a strong background in Google Cloud Platform (GCP), AI/ML engineering, Site Reliability Engineering (SRE), and enterprise technical escalations, this could be an excellent opportunity for you.

Key Responsibilities

  • Act as the Tier 3 technical escalation point for complex enterprise issues involving Vertex AI, Gemini, Gemini Enterprise, and Vertex AI Agent Builder.
  • Troubleshoot and resolve high-severity production incidents, including P1/P2 escalations.
  • Collaborate with frontline support teams and Google Product Engineering to identify and resolve complex technical issues.
  • Perform root cause analysis (RCA) and communicate technical findings directly to enterprise customers and stakeholders.
  • Diagnose issues involving AI/ML model deployments, APIs, distributed systems, and GCP infrastructure.
  • Analyze logs and monitoring data using Google Cloud Logging and Cloud Monitoring.
  • Support AI/ML workloads involving BigQuery, IAM, Cloud Storage, VPC, and other core GCP services.
  • Provide technical guidance to frontline support teams and drive continuous improvement in incident resolution.

Requirements

  • Bachelor's or Master's degree in Computer Science or a related technical field.
  • 8+ years of experience in Tier 3 Technical Support, Site Reliability Engineering (SRE), AI/ML Engineering, or a closely related technical role.
  • Fluency in Mandarin Chinese (spoken and written) for direct communication with enterprise customers and stakeholders.
  • Strong hands-on knowledge of Google Cloud AI/ML technologies, including:
  • Vertex AI, including Pipelines, Endpoints, and Vector Search.
  • Gemini APIs and agentic AI architectures.
  • Vertex AI Agent Builder and Agent Development Kit (ADK).
  • Solid understanding of GCP infrastructure, including BigQuery, IAM, Cloud Storage, and VPC.
  • Proven experience handling critical technical escalations and production incidents.
  • Strong troubleshooting, debugging, and root cause analysis skills.
  • Excellent stakeholder management, communication, and cross-functional collaboration skills.

Preferred Skills

  • Strong Python coding and debugging skills.
  • Experience with REST APIs and API troubleshooting.
  • Knowledge of distributed systems and log analysis.
  • Hands-on experience with Cloud Logging and Cloud Monitoring.
  • Experience supporting production AI/ML workloads on GCP.
  • Relevant Google Cloud certifications.

Why Join Us?

  • Work on advanced Google Cloud AI/ML technologies.
  • Handle complex enterprise-level technical challenges.
  • Collaborate with technical experts across support and product engineering teams.
  • Join a long-term opportunity with a competitive monthly salary of RM 8,000.

Please note: This is a full-time, long-term opportunity based in Kuala Lumpur, Malaysia, with an expected engagement period of more than two years.

Pay: RM8,000.00 per month

Work Location: In person

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