We are looking for a SeniorCloud 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 of 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
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.
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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.
Highlights
If you're interested in platform management, AI deployment, and improving DevOps processes, we'd love to hear from you! 🚀
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