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

Charlotte, NC, US • Posted 12 hours ago • Updated 12 hours ago

Contract W2

Contract Corp To Corp

6 Months

No Travel Required

On-site

Depends on Experience

VDart, Inc.

Fitment

Dice Job Match Score™

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Job Details

Skills

GenAI
IAM
GCP
Terraform
Kubernetes
RBAC

Summary

Role: Cloud GenAI Platform Engineer (Google Cloud Platform + 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 Google Cloud Platform 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 Google Cloud Platform 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:
Google Cloud Platform (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 (Google Cloud Platform + 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 Google Cloud Platform 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 Google Cloud Platform 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:
Google Cloud Platform (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).

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.

Dice Id: 10330808
Position Id: 97686-5195-
Posted 12 hours ago

Company Info

About VDart, Inc.

VDart, headquartered in Atlanta, GA, is a global leader in digital talent solutions and IT staffing, delivering top technology professionals to businesses worldwide. With a strong presence across North America, Europe and Asia, we specialize in helping organizations navigate complex technology landscapes with the right expertise.

Through a strategic, client-focused approach, we have placed over 20,000 professionals across key industries and advanced technology solutions. Whether placing top talent in cutting-edge roles or providing strategic digital workforce solutions, our network of 4,000 specialists across 13 countries is committed to excellence, agility and impact.

Backed by 18 years of industry experience, we go beyond staffing to build long-term partnerships that accelerate digital transformation and drive sustained growth. Whether you need a technology partner to fuel innovation or specialized workforce solutions to maintain a competitive edge, VDart delivers the right people, skills and mindset to create a lasting impact in a digital-first world.

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