Cloud GenAI Platform Engineer (GCP + Azure) – Infrastructure Provisioning & Kubernetes

Role: Cloud GenAI Platform Engineer (GCP Azure) Infrastructure Provisioning & Kubernetes

Location: Charlotte NC (Onsite)

Type: Contract

Role Summary

• We are seeking a hands-on Cloud GenAI Platform Engineer to support an enterprise GenAI platform enabling predictive and generative AI inferencing across both GCP and Azure. This role is focused on platform/infrastructure provisioning (IaaS/PaaS): creating cloud projects/subscriptions enabling required services establishing secure access/entitlements deploying containerized components and automating everything through Terraform. This is not an application development or RAG/agent pipeline build role.
• Key Responsibilities (Day-to-Day)
• Cloud Provisioning for GenAI Consumers: Build secure repeatable cloud environments for internal teams consuming GenAI services (e.g. provisioning GCP projects / Azure resources enabling notebooks endpoint access guardrails telemetry integrations).
• Infrastructure as Code (Terraform): Author enhance and maintain Terraform modules/scripts to automate:
• Cloud project/resource creation
• IAM/entitlements setup and access control
• Network/security baseline configuration
• Enablement of required GenAI platform services

• Containers & Kubernetes Operations: Package deploy and troubleshoot containerized services; debug runtime issues image builds configuration and cluster-level behavior.
• Platform Troubleshooting & Support: Rapidly diagnose issues across cloud console/portals infrastructure configs IAM containers and platform integrations; drive issues to resolution with clear root-cause documentation.
• Cross-Team Provisioning Coordination: Partner with internal platform/security/operations teams to complete environment provisioning and ensure standards are met.

Required Skills / Qualifications

• Strong hands-on experience with both:
• GCP (projects IAM service enablement console navigation)
• Azure (subscriptions/resource groups IAM/RBAC portal navigation)
• Proven hands-on experience with:
• Terraform (writing/debugging IaC modularization state management basics)
• Containers (Docker/container build & runtime debugging)
• Kubernetes (deployments services configmaps/secrets troubleshooting)
• Strong troubleshooting skills across:
• Cloud access/permissions (IAM/RBAC)
• Container failures image issues runtime misconfigurations
• Basic networking and API connectivity patterns

Preferred / Nice-to-Have

• Familiarity with GenAI platform governance/guardrails concepts (e.g. policy enforcement request/response inspection).
• Exposure to rate limiting / API gateway behaviors and diagnosing throttling patterns.
• Experience in regulated enterprise environments (security-first provisioning).

Experience Level

• Typically 6 10 years in cloud/platform engineering roles (flexible based on depth of hands-on skills).

Role: Cloud GenAI Platform Engineer (GCP Azure) Infrastructure Provisioning & Kubernetes

Location: Charlotte NC (Onsite)

Type: Contract

Role Summary

• We are seeking a hands-on Cloud GenAI Platform Engineer to support an enterprise GenAI platform enabling predictive and generative AI inferencing across both GCP and Azure. This role is focused on platform/infrastructure provisioning (IaaS/PaaS): creating cloud projects/subscriptions enabling required services establishing secure access/entitlements deploying containerized components and automating everything through Terraform. This is not an application development or RAG/agent pipeline build role.
• Key Responsibilities (Day-to-Day)
• Cloud Provisioning for GenAI Consumers: Build secure repeatable cloud environments for internal teams consuming GenAI services (e.g. provisioning GCP projects / Azure resources enabling notebooks endpoint access guardrails telemetry integrations).
• Infrastructure as Code (Terraform): Author enhance and maintain Terraform modules/scripts to automate:
• Cloud project/resource creation
• IAM/entitlements setup and access control
• Network/security baseline configuration
• Enablement of required GenAI platform services

• Containers & Kubernetes Operations: Package deploy and troubleshoot containerized services; debug runtime issues image builds configuration and cluster-level behavior.
• Platform Troubleshooting & Support: Rapidly diagnose issues across cloud console/portals infrastructure configs IAM containers and platform integrations; drive issues to resolution with clear root-cause documentation.
• Cross-Team Provisioning Coordination: Partner with internal platform/security/operations teams to complete environment provisioning and ensure standards are met.

Required Skills / Qualifications

• Strong hands-on experience with both:
• GCP (projects IAM service enablement console navigation)
• Azure (subscriptions/resource groups IAM/RBAC portal navigation)
• Proven hands-on experience with:
• Terraform (writing/debugging IaC modularization state management basics)
• Containers (Docker/container build & runtime debugging)
• Kubernetes (deployments services configmaps/secrets troubleshooting)
• Strong troubleshooting skills across:
• Cloud access/permissions (IAM/RBAC)
• Container failures image issues runtime misconfigurations
• Basic networking and API connectivity patterns

Preferred / Nice-to-Have

• Familiarity with GenAI platform governance/guardrails concepts (e.g. policy enforcement request/response inspection).
• Exposure to rate limiting / API gateway behaviors and diagnosing throttling patterns.
• Experience in regulated enterprise environments (security-first provisioning).

Experience Level

• Typically 6 10 years in cloud/platform engineering roles (flexible based on depth of hands-on skills).