Google Cloud Engineer

Job summary

Build and deploy intelligent, cloud-native solutions using Google Cloud and Gemini Enterprise for large UK organisations, combining cloud engineering, AI, and data engineering. Develop agentic AI components, cloud applications, data pipelines, and enterprise integrations; implement secure platform foundations; and participate in architecture reviews to deliver production-ready solutions aligned with client requirements and security standards.

Qualifications

• Hold at least one Google Cloud Professional certification.
• Demonstrate expertise in Google Cloud services such as GKE, BigQuery, Cloud Run, and Cloud Storage.
• Have hands-on enterprise technology delivery experience in software engineering, cloud development, or data engineering.
• Have hands-on experience building and deploying AI solutions with Gemini Enterprise, Gemini Enterprise Agent Platform, or ADK, including multi-agent orchestration.
• Create technical documentation, including architecture diagrams, design specifications, and operational runbooks.
• Be familiar with Infrastructure as Code, Terraform, CI/CD pipelines, and scripting.
• Communicate complex AI and cloud concepts clearly to technical and non-technical audiences.

Responsibilities

• Create and deploy agentic AI solution components using Gemini Enterprise Agent Platform.
• Engineer Google Cloud-native applications, data pipelines, and integrations.
• Integrate Gemini Enterprise capabilities into enterprise workflows and client-facing applications.
• Implement foundational Google Cloud components for secure, enterprise-grade AI deployments.
• Participate in design discussions and architecture reviews, aligning implementations with standards, security policies, and non-functional requirements.
• Translate client requirements into well-architected, production-ready solutions.

Skills

Certifications

Industry

Security clearance

Relocation