Cloud Platform Engineer

Position: Cloud Platform Engineer

Location: Charlotte NC (Onsite)

Duration: Long-Term Contract

Number of positions: 2

Key Skills:

Must-Have Skills (Mandatory):

• GCP Azure (multi-cloud preferred)
• Terraform (strong hands-on IaC)
• Cloud Networking & Hybrid Connectivity (VPN VPC/VNet peering private endpoints)
• Landing Zones & Cloud Governance (Org Policies guardrails)
• Kubernetes (GKE) OpenShift (OCP)
• Platform Engineering / Internal Developer Platforms
• Observability (monitoring logging tracing)
• SRE concepts (SLOs SLIs reliability engineering)
• Python (automation)
• HashiCorp Vault (secrets management)

GenAI / Advanced Skills (Strong Preferred):

• GenAI Platforms / LLMs
• RAG (Retrieval Augmented Generation)
• MLOps / LLMOps pipelines

Key Responsibilities (Keywords for Search):

• Build enterprise cloud platforms (GCP Azure)
• Implement Terraform-based reusable modules
• Design landing zones & governance frameworks
• Enable hybrid/multi-cloud connectivity
• Manage Kubernetes platforms (GKE/OCP)
• Build Internal Developer Portals (self-service infra)
• Define SLOs reliability patterns observability
• Support GenAI/LLM workloads and platform enablement

-GCP Azure Terraform Cloud Networking Landing Zones Org Policy / Governance HashiCorp Vault Hybrid Connectivity Kubernetes GKE OpenShift (OCP) Platform Engineering Observability SRE / SLOs Python Internal Developer Portals GenAI Platforms LLMs RAG MLOps/LLMOps

Responsibilities:

• Design build and operate secure scalable GCP and OpenShift (OCP/GKE) platforms to support deployment of GenAI models LLMs and RAG workloads.
• Provision and manage cloud infrastructure using Terraform including landing zones networking org policies and hybrid connectivity across GCP and Azure.
• Enable MLOps/LLMOps pipelines for model deployment monitoring and lifecycle management integrating Arize AI and GenAI platforms.
• Implement platform engineering best practices including Kubernetes-based abstractions internal developer portals and self-service environments.
• Ensure platform security governance and secrets management using HashiCorp Vault IAM and policy-as-code.
• Establish observability SLOs and SRE practices to ensure reliability and performance of GenAI and platform services.
• Collaborate with data scientists ML engineers and application teams to onboard new LLMs APIs and inference services efficiently.