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Hoonartek

Posted 25 May 2026

Senior GCP Cloud Engineer

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Employment
Full time
Team
IT - Internal - IT - Internal
Posted
25 May 2026

About the role

We are looking for a highly skilled Senior GCP Cloud Engineer to design, implement, and manage scalable, secure, and highly available cloud infrastructure on Google Cloud Platform (GCP). The ideal candidate will take ownership of cloud architecture design, landing zones, network topology, HA/DR strategies, and cross-cloud networking, while enabling platform capabilities for data and application teams.
Key Responsibilities:Cloud Architecture & Design• Gather requirements and translate them into scalable, secure GCP architectures• Design and document landing zones, including:  -Project structure and hierarchy (folders/org setup) -Network topology (hub-spoke/shared VPC) -Security baselines and guardrails• Define and implement High Availability (HA) and Disaster Recovery (DR) strategies• Create reusable architecture diagrams, standards, and documentation
Networking & Multi-Cloud Design• Design and implement GCP networking solutions, including hybrid and cross-cloud architectures• Configure secure connectivity across environments:  -Interconnect / VPN -Multi-region networking -Cross-cloud integrations (AWS, Azure)• Ensure network segmentation, isolation, and compliance with VPC-SC and firewall policies
Platform Engineering & Automation• Build and manage infrastructure as code (IaC) using Terraform or similar tools• Implement standardized platform services and reusable modules• Enable self-service infrastructure provisioning
CI/CD & DevOps Enablement• Design and implement CI/CD pipelines using Cloud Build / GitHub Actions• Define container build, promotion, and deployment workflows• Ensure proper artifact lifecycle management and governance
Security & Governance• Implement IAM policies, service accounts, and least-privilege access• Enforce organization-level policies and compliance controls• Manage secrets using Secret Manager (secure access, rotation policies)
Observability & Reliability• Implement monitoring, alerting, and logging frameworks• Define SLOs, SLAs, and reliability metrics• Enable log-based insights and dashboards
Data Platform Enablement• Support data platform use cases using BigQuery, Composer, and event-driven systems• Collaborate with data teams to optimize pipeline performance and architecture

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