Job Description

Job Description :

Job Title: Google Cloud Platform Cloud Architect (Forward Deployed Engineering)

About the Role We are looking for a hands-on Google Cloud Platform Cloud Architect / Forward Deployed Engineer to design, build, and operationalize enterprise-grade Google Cloud platforms. The role covers end-to-end ownership from Day 0 Google Cloud Platform setup through production deployment, Infrastructure as Code (IaC), SRE, observability, and Agentic AI platform enablement.

Key Responsibilities

• Design and implement enterprise Google Cloud Platform landing zones, IAM, VPC, Shared VPC, firewalls, Private Service Connect, and security controls.
• Build and manage infrastructure using Terraform (Terragrunt preferred) with 100% Infrastructure as Code.
• Establish SRE practices including SLIs, SLOs, SLAs, error budgets, incident management, disaster recovery, and automation.
• Implement monitoring and observability using Google Cloud Operations Suite, Cloud Monitoring, Cloud Logging, Prometheus, Grafana, OpenTelemetry, or Datadog.
• Design Multi-Zone/Multi-Region, Active-Active/Active-Passive architectures with backup, failover, business continuity, and RTO/RPO planning.
• Implement secure authentication and authorization using OAuth 2.0, OIDC, SAML, Zero Trust, IAM, API security, Secrets Manager, and KMS.
• Deploy AI infrastructure using Vertex AI, GKE, Cloud Run, vector databases, and orchestration frameworks.
• Build CI/CD pipelines using GitHub Actions, Cloud Build, or GitLab CI.
• Collaborate with engineering, product, and client teams to deliver scalable cloud solutions.

Required Qualifications

• 6 8 years of hands-on experience designing and operating enterprise workloads on Google Cloud Platform.
• Google Cloud Platform Professional Cloud Architect certification preferred.
• Experience delivering at least 3 enterprise-scale Google Cloud Platform production projects.
• Strong expertise in Terraform, Google Cloud Platform networking, IAM, security, and Infrastructure as Code.
• Hands-on experience with SRE, observability, distributed tracing, monitoring, logging, and alerting.
• Experience supporting AI/LLM infrastructure, including Vertex AI, GKE, Cloud Run, and model hosting.
• Strong scripting skills in Python, Bash, along with Docker and modern CI/CD tools.

For applications and inquiries, contact:hirings@openkyber.com

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