Senior Cloud Engineer (GCP+Azure)

Description
Join global Technology & Transformation organization, a cross-functional team driving the next generation of enterprise insurance solutions. We are building and scaling a flagship multi-tenant insurance platform featuring integrated e-billing, real-time analytics, and automated claims workflows servicing thousands of global clients.
We are seeking an experienced Senior Cloud GCP Engineer to scale and secure our infrastructure. You will drive cloud automation across GCP and other clouds, writing clean Terraform, Python, and Bash code to streamline deployments, enhance system reliability, and automate day-to-day operations.

Requirements
Must have:
GCP: advanced deployment and administration of PaaS and IaaS services (Compute Engine, Cloud Run, Cloud Functions, Cloud SQL, Cloud Storage, BigQuery)
Azure DevOps: strong working knowledge of ADO in an enterprise setting (pipelines, branching, PRs, projects, Terraform module development)
Scripting: Terraform, Bash, Python, gcloud CLI, PowerShell, YAML
Identity and security: Cloud IAM, service accounts, Workload Identity Federation, Cloud Identity federated with Entra ID, Secret Manager, Cloud KMS, Security Command Center
Basic networking skills: VPC, Shared VPC, Cloud NAT, Cloud VPN and Interconnect, Private Service Connect
Containerization: GKE (Standard and Autopilot) and Artifact Registry
AI: Vertex AI, Gemini models and Vertex AI Agent Builder
Multi-cloud awareness: a working understanding of AWS or Azure
Nice to have:
Cloud Build or GitHub Actions
Landing zones and resource hierarchy: organization, folders and projects, Organization Policy constraints, Google Cloud Foundation or Fabric Terraform blueprints
Backstage.io
Job responsibilities
Design, build, and maintain scalable, highly available PaaS and IaaS infrastructure across GCP and other cloud environments in alignment with enterprise architectural standards.
Architect and maintain enterprise Azure DevOps (ADO) environments, including pipeline optimization, branching strategies, PR governance, and custom Terraform module development.
Develop, test, and deploy modular IaC configurations using Terraform, PowerShell, Bash, Python, and cloud CLIs to enforce multi-region consistency.
Manage, secure, and scale enterprise Kubernetes clusters across GKE nvironments.
Deploy, configure, and operate cloud AI services using Vertex AI to support enterprise LLM integrations and GenAI workloads.
Manage core networking components, including VPC, Shared VPC, Cloud NAT, Cloud VPN and Interconnect, Private Service Connect.
Support multi-account enterprise governance.
Establish monitoring, observability, and automated remediation patterns across hybrid cloud assets.