Infrastructure Lead (Google Cloud Platform)
Must-have:PythonAWSAzureGoogle CloudKubernetesCloudDevOpsScrumCI/CDAISecuritySeniorLead
Job Description
Infrastructure Lead (Google Cloud Platform) is responsible for leading and implementing cloud architecture solutions focusing on design, deployments, automation, security etc. in the GCP platform. There will be focus on continuous improvement approach for complex services in intricate scenarios such as Digital Transformation (DT), Operation & Maintenance (O&M), application deliverables and providing high visibility for Director-level stakeholders.
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 reviewsBusiness 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
- Cultivate industry partnership and managing developer communities
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- A pro-active approach to work, with a positive can-do attitude
Qualifications
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
- Scrum Master, PMP certification etc. are added advantages- A good Degree education in IT competency
- At least 8 years of experience in managing large-scale enterprise projects ($5m) locally, preferably with SI company
- Experience in software development and maintenance lifecycle
- Knowledge of analytics capturing tools such as Adobe/Google Analytics
- Exposure to other public cloud environment such as AWS, Azure
- Strong problem-solving skills with the ability to engage all stakeholders up to Director Level
- Strong leadership with excellent interpersonal and communication skills