Cloud Platform Engineer Foresight IT Iselin, NJ Job Details Full-time $50 - $55 an hour 22 hours ago Qualifications AI models Cloud identity and access management (IAM) Azure Infrastructure as Code (IaC) Improving system uptime or availability Generative models AI platforms (beyond public GPTs) IT monitoring tools SRE Terraform Production monitoring Monitoring system implementation Cloud automation DevOps automation Cloud monitoring MLOps Generative AI Production troubleshooting Identity & access management
Full Job Description Cloud Platform Engineer Location:
Iselin , NJ (Hybrid)
Openings:
5
Job Type:
Contract - 12+
Months Rate:
$55/hour on W2
Visa:
USC & H1B
Position Overview 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 GCP, Azure, Terraform, Kubernetes, cloud networking, platform engineering, and cloud governance. Key Technologies GCP / 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 Key Responsibilities Design, build, and operate secure and scalable GCP 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 GCP 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 GCP 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. Required Skills Strong hands-on experience with GCP 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 Please share out your resume at