- Singapore Central Region (Singapore) Singapore
全职 Infrastructure Lead (Google Cloud Platform) - 1637 工作, 薪水 up to SGD 14,000, JOBSTER PRIVATE LTD. Central Region (Singapore) 公司招聘中 - Ricebowl
Infrastructure Lead (Google Cloud Platform) - 1637
JOBSTER PRIVATE LTD.
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工作地点
职位描述
岗位职责
Responsibility
Be strong technically in the Google Cloud Platform with minimum 8 years of hands-on experience in large enterprise scale projects
Responsible to lead collaboration within internal application stakeholders, senior management, project leadership & delivery team
In-Charge to set clear priorities and alignment of operation and maintenance with the client's contractual obligations
Providing focus and accountability for end-to-end service context
Focal point for reporting on the escalations to the client in respect of issues and incidents
Responsible to ensure KPI reports on service delivery progress are delivered
Establish leadership with stakeholders to identify, develop, implement and document new processes required to improve the service delivered to customers
Review & Prepare project status reports, meeting minutes and actions list for all PMC reviews
Business Development
Proactively identify opportunities for further expansion or improvement of services delivered to the customer and liaise with the Account Manager(s) for development of that opportunity
Team Management
Provide strong leadership to the project and application team to ensure key deliverables meet customer expectation
Demonstrate team synergy and harmonize team integration
The Requirements:
Mandatory – Hold one or more of Professional Level Google Cloud certifications: Cloud Architect, Cloud DevOps Engineer, Cloud Developer and other professional-level Google Cloud certifications such as Generative AI Leader, Machine Learning Engineer
Mandatory - Strong hands-on experience of at least 5 years with Google Kubernetes Engine, Google Cloud KCC, Cloud Build and other CI/CD related technologies, Google Cloud Deployment Manager, Pulumi, Terraform etc.
Mandatory - Strong hands-on experience of at least 5 years with Python scripting, Shell Scripting
Strong exposure to AI Technologies, Agentic workflows, AI solutioning, LLM optimization etc. is an advantage
EA License No: 06C5060
Be strong technically in the Google Cloud Platform with minimum 8 years of hands-on experience in large enterprise scale projects
Responsible to lead collaboration within internal application stakeholders, senior management, project leadership & delivery team
In-Charge to set clear priorities and alignment of operation and maintenance with the client's contractual obligations
Providing focus and accountability for end-to-end service context
Focal point for reporting on the escalations to the client in respect of issues and incidents
Responsible to ensure KPI reports on service delivery progress are delivered
Establish leadership with stakeholders to identify, develop, implement and document new processes required to improve the service delivered to customers
Review & Prepare project status reports, meeting minutes and actions list for all PMC reviews
Business Development
Proactively identify opportunities for further expansion or improvement of services delivered to the customer and liaise with the Account Manager(s) for development of that opportunity
Team Management
Provide strong leadership to the project and application team to ensure key deliverables meet customer expectation
Demonstrate team synergy and harmonize team integration
The Requirements:
Mandatory – Hold one or more of Professional Level Google Cloud certifications: Cloud Architect, Cloud DevOps Engineer, Cloud Developer and other professional-level Google Cloud certifications such as Generative AI Leader, Machine Learning Engineer
Mandatory - Strong hands-on experience of at least 5 years with Google Kubernetes Engine, Google Cloud KCC, Cloud Build and other CI/CD related technologies, Google Cloud Deployment Manager, Pulumi, Terraform etc.
Mandatory - Strong hands-on experience of at least 5 years with Python scripting, Shell Scripting
Strong exposure to AI Technologies, Agentic workflows, AI solutioning, LLM optimization etc. is an advantage
EA License No: 06C5060
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