Cloud Platform Engineer

We are seeking an experienced Cloud Platform Engineer to design, build, and operate secure, scalable cloud platforms supporting GenAI, LLM, RAG, MLOps, and modern application workloads. The ideal candidate will have strong hands-on experience with Google Cloud Platform, Azure, Terraform, Kubernetes, cloud networking, platform engineering, and cloud governance.

Key Technologies

• Google Cloud Platform / Google Cloud Platform
• Microsoft Azure
• Terraform
• Kubernetes / GKE
• OpenShift (OCP)
• Cloud Networking & Hybrid Connectivity
• Landing Zones
• Organization Policies & Cloud Governance
• HashiCorp Vault
• IAM & Policy-as-Code
• Observability & SRE
• Python
• Internal Developer Portals
• MLOps / LLMOps
• GenAI Platforms
• LLMs & RAG
• Arize AI
• Claude Cowork, * Design, build, and operate secure and scalable Google Cloud Platform and OpenShift/GKE platforms supporting GenAI models, LLMs, and RAG workloads.
• Provision and manage cloud infrastructure using Terraform, including landing zones, networking, organization policies, and hybrid connectivity across Google Cloud Platform and Azure.
• Develop and support MLOps/LLMOps pipelines for model deployment, monitoring, and lifecycle management.
• Integrate platforms and observability solutions such as Arize AI to support GenAI and ML workloads.
• Implement platform engineering best practices using Kubernetes-based abstractions, internal developer portals, and self-service environments.
• Establish and maintain cloud security, governance, IAM, secrets management, and policy-as-code using HashiCorp Vault and related technologies.
• Develop observability, reliability, and SRE/SLO practices for GenAI and cloud platform services.
• Support Kubernetes and OpenShift environments, including GKE and OCP, ensuring scalability, reliability, and operational efficiency.
• Build and maintain hybrid cloud connectivity and networking across Google Cloud Platform and Azure.
• Collaborate with data scientists, ML engineers, DevOps teams, and application teams to onboard LLMs, APIs, inference services, and GenAI workloads.
• Automate infrastructure and platform operations using Python, Terraform, and cloud-native tooling.
• Continuously improve developer experience through platform automation, self-service capabilities, and standardized deployment patterns.

• Strong hands-on experience with Google Cloud Platform and/or Azure
• Advanced Terraform experience
• Strong understanding of cloud networking, landing zones, and cloud governance
• Hands-on experience with Kubernetes, GKE, and/or OpenShift
• Experience with HashiCorp Vault, IAM, and secrets management
• Understanding of MLOps, LLMOps, GenAI, LLM, and RAG architectures
• Experience with observability, SRE, and SLOs
• Strong scripting/automation skills, preferably Python
• Experience building or supporting internal developer platforms/portals
• Strong understanding of cloud security and policy-as-code
• Excellent troubleshooting, communication, and collaboration skills

Preferred Experience

• Experience supporting GenAI/LLM production workloads
• Experience with Arize AI or similar AI/ML observability platforms
• Experience with hybrid or multi-cloud environments
• Experience integrating LLM APIs, inference services, and RAG platforms
• Experience working closely with data science and ML engineering teams