Senior Cloud Engineer GCP

Job Description

We are looking for a Senior Cloud Engineer with GCP to join an exciting project for our Fortune 500 client. The role involves deploying a managed GenAI SaaS platform into regulated client environments. Deep Google Cloud Platform knowledge is required as you will work on client-side in GCP and deploy data-plane environments, landing zones, and policy guardrails, and connect them to the existing Azure control plane.

This is a remote-first contract position with a required overlap within Australian working hours (7-10 AM CET).

Key Responsibilities

• Deploy and initialize: Client-plane data environments in GCP and connect them to the existing Azure control plane.
• Design and deploy: Landing zones and tenant onboarding patterns.
• Build and optimize CI/CD pipelines that enable reliable, automated delivery across development, testing, staging, and production.
• Take ownership of: Infrastructure-as-Code (Terraform) and GitOps (Flux).
• Implement: Cross-cloud, cross-tenant management pattern & cross-cloud telemetry (Grafana / Telegraf)
• Define: networking, security policies, landing-zone configuration

Work Conditions

• Type: Full-time 6-month contract with high possibility of extension
• Start Date: ASAP
• Location: Remote (99%) in Europe; must be able to travel freely within Europe for workshops.
• Australian Time Zone Overlap: Required (7 AM - 10 AM CET)
• Contract with European LLC

Job Requirements

• Proven experience as a DevOps Engineer or Cloud Engineer, or Platform Engineer.
• Strong expertise of GCP, especially resource hierarchy, Organization Policy Service, IAM, VPC Service Controls, GKE.
• Experience with Azure cloud services and understanding Azure Lighthouse
• Proven experience in multi-tenant solutions.
• Knowledge of Multi-cloud / hybrid architecture
• Strong hands-on expertise with CI/CD, Infrastructure as Code (IaC), observability, secrets management, and secure deployment practices.
• Understanding of data residency / sovereignty requirements for regulated clients.
• Strong understanding of scalability, reliability, security, and operational best practices.
• Solid working knowledge of tools such as: Azure DevOps/Jenkins/GitHub Actions or similar, Terraform, Grafana (with Prometheus, Telegraf, … ) Datadog, Flux, ArgoCD
• Strong problem-solving skills and attention to detail.
• Excellent communication skills , ability to work in a team environment , and a commitment to continuous improvement.

Preferred Experience

• Familiarity with AWS
• Experience with Customer-managed keys / encryption
• Deploying deploying GenAI / RAG workloads
• Exposure to data-intensive and AI-driven products with a focus on performance, scalability, and portability.