Note: The job is a remote job and is open to candidates in USA. PriceSenz is seeking an experienced Cloud Engineer specializing in Google Cloud Platform (GCP) Landing Zones. The role focuses on designing, architecting, automating, and maintaining secure, scalable GCP environments for AI, Deep Learning, GPU, and HPC workloads, while collaborating with engineering, networking, security, and operations teams.
Responsibilities
- Design and implement GCP Landing Zones, including organization, folder, and project structures, billing, labels, organizational policies, and security controls
- Build and maintain automated infrastructure and platform modules across networking, compute, storage, databases, and IAM
- Design and implement advanced GCP networking and hybrid connectivity, including:
- Shared VPC
- Hub-and-spoke architectures
- Cloud Interconnect
- VPN
- Private Service Connect
- DNS
- IPAM
- Develop scalable and secure cloud infrastructure supporting AI, GPU, Deep Learning, and HPC workloads
- Automate infrastructure provisioning, configuration, security controls, and operational processes using Infrastructure as Code (IaC)
- Monitor infrastructure performance and implement improvements focused on low latency, high bandwidth, reliability, and data integrity
- Collaborate with engineering, networking, security, and operations teams on infrastructure architecture and implementation
- Create and maintain detailed technical documentation, architecture diagrams, and operational runbooks
- Contribute to long-term infrastructure strategy, capacity planning, and cloud scaling initiatives
- Troubleshoot complex infrastructure, networking, and cloud platform issues
Skills
- • Bachelor's degree in Computer Science, Engineering, or a related technical field , or equivalent practical experience
- • 7+ years of experience in infrastructure, platform engineering, cloud engineering, or related roles
- • 4+ years of hands-on GCP experience , specifically involving:
- • GCP Landing Zones
- • Resource hierarchy
- • Shared VPC
- • Organization policies
- • IAM
- • Security controls
- • Demonstrated experience successfully implementing multiple GCP Landing Zones in production environments
- • Strong experience with Infrastructure as Code (IaC) and cloud automation
- • Experience with containerization and orchestration technologies such as Kubernetes
- • Strong understanding of cloud networking and hybrid network architectures
- • Experience supporting or working with GPU infrastructure , ideally including NVIDIA Blackwell and/or AMD Instinct architectures
- • Strong programming, scripting, and automation capabilities
- • Advanced knowledge of Linux/Unix operating systems
- • Strong troubleshooting and problem-solving skills
- • Excellent communication and collaboration skills
- • Ability to work independently in a fast-paced engineering environment
- • Google Cloud Professional Cloud Architect
- • Google Cloud Professional Network Engineer
- • Google Cloud Professional Cloud Security Engineer
- Additional experience with AI infrastructure, HPC environments, GPU clusters, large-scale compute, or high-performance networking is a strong plus
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