Google Cloud Foundation Engineer

Context

• Within Client, we are planning on building a Google Cloud Foundation MVP with as first use case, to enable the use of Google Gemini alongside existing AI platforms such as Microsoft Foundry and AWS Bedrock.
• The assignment includes establishing a future-proof Google Cloud Foundation, as well as migrating existing use cases.
• In the longer term, the platform should evolve into an enterprise-ready solution that enables future DevOps teams to be onboarded efficiently while adhering to Client standards, policies and governance requirements.

Role

• You will play a key role in designing and/or implementing a Google Cloud Foundation that meets Client's enterprise architecture, security and governance requirements.
• Depending on your profile, the focus may be on architecture, implementation, or a combination of both.
• List of Responsibilities (but not limited to)

Architecture & Platform Design

• Implement an enterprise-wide Google Cloud architecture aligned with Client guidelines, standards and policies.
• Define a future-proof cloud foundation with as first use-case, enabling the adoption of Google Gemini across the organization.
• Provide guidance on governance, security and operational models.

Security & Governance

• Develop & implement a threat model.
• Share knowledge & implement governance standards covering:

• Encryption
• Standards & Policies
• Access management
• Compliance requirements

• Design security controls and integrate them with existing security processes.

Identity & Access Management

• Design and implement IAM architectures.
• Establish:

• RBAC model
• Federated Identity
• Least Privilege Access principles
• Operations & Monitoring

• Implement logging, monitoring and observability capabilities.
• Integrate with existing SIEM platforms.
• Define & implement operational processes for incident management and platform operations.

Cloud Management & FinOps

• Define & implement an engagement model with Google similar to the current operating model used with AWS and Azure.
• Establish cost tracking, showback/chargeback and cost management processes.
• Advise on cloud governance and lifecycle management.

Networking

• Design and implement Google Cloud networking architectures.

Implementation

• Automate platform components using Infrastructure as Code.
• Implement foundational services and security controls.
• Support the migration of existing workloads to the new platform.

Profile

Must-Have

• Proven experience with Google Cloud Platform in enterprise environments.
• Experience designing and implementing cloud foundations or landing zones.
• Strong knowledge of IAM, security, networking and cloud governance.
• Experience with Infrastructure as Code.

Technical Skills

• Google Cloud Platform (GCP)
• Terraform
• Python

Nice-to-Have

• Experience with AI platforms such as Google Gemini, Microsoft Foundry or AWS Bedrock.
• Experience in regulated industries or financial institutions.
• Understanding of FinOps practices.

Desired Profile

• Google Cloud Foundation Engineer
• Hands-on implementation profile.
• Strong expertise in Terraform, Google Cloud services and automation.
• Experience operationalizing enterprise cloud platforms.

Expected Outcomes

• A working Google Cloud Foundation MVP for Gemini.
• Migration of existing use cases.
• An enterprise-ready foundation supporting future DevOps team onboarding.
• Governance, security, IAM and operational models aligned with Client standards.
• A scalable and future-proof Google Cloud environment.