Google Cloud Platform Architect

The Google Cloud Platform Architect will design, implement, and manage cloud-based solutions primarily in GCP. This role involves building out solutions in the Gemini Enterprise Platform, including developing proofs of concepts (POCs) to validate new use cases and capabilities. Applications will be deployed using Infrastructure as Code (IaC). Responsibilities include managing and resolving user-reported issues on the Gemini Enterprise Platform, ensuring timely and effective support for end users. When outside of GCP, the role also involves managing applications within AWS and Linux environments.

Job Responsibilities

• Design, implement, and maintain secure, scalable, and reliable cloud-based solutions primarily within Google Cloud Platform (GCP).
• Develop, configure, and manage solutions within Google Gemini Enterprise, including integrations, application deployments, and platform optimization.
• Build and execute proofs of concept (POCs) to evaluate emerging AI capabilities, validate business use cases, and support enterprise adoption of Gemini Enterprise and Vertex AI.
• Deploy, configure, and manage cloud infrastructure and applications using Infrastructure as Code (IaC) tools and automation best practices.
• Configure and troubleshoot GCP networking services, connectivity, security configurations, and cloud infrastructure to ensure performance and availability.
• Provide operational support for Gemini Enterprise, including troubleshooting user-reported issues, identifying root causes, and implementing timely resolutions.
• Support applications and cloud resources within Amazon Web Services (AWS) and Linux-based environments as needed.
• Collaborate with engineering, cybersecurity, and cross-functional teams to develop technical solutions, document architectures, and ensure alignment with organizational requirements.

Job Qualifications

• Demonstrated experience designing, implementing, and supporting cloud solutions within Google Cloud Platform (GCP), with an intermediate understanding of cloud architecture and services.
• Hands-on experience with Google Gemini Enterprise, including platform configuration, administration, troubleshooting, and enterprise AI solution development.
• Intermediate knowledge of Google Cloud networking services, including VPCs, firewall rules, routing, connectivity, and network security.
• Foundational understanding of Google Vertex AI, generative AI technologies, and their application in enterprise environments.
• Basic experience with Infrastructure as Code (IaC) tools such as Terraform or Google Cloud Infrastructure Manager to automate cloud deployments.
• Foundational knowledge of AWS services and the ability to support applications and infrastructure across multiple cloud environments.
• Experience working within Linux environments, including basic system administration, command-line operations, and troubleshooting.
• Familiarity with cloud security best practices, Identity and Access Management (IAM), access controls, and infrastructure monitoring.
• Strong analytical, troubleshooting, and problem-solving skills, with the ability to independently investigate and resolve technical issues.
• Excellent communication and collaboration skills, with experience working across technical teams, supporting end users, and documenting technical solutions.