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Hiring: Cloud Platform Engineer (GenAI Platforms) for Charlotte, NC (5 Days onsite)

Charlotte, NC, US • Posted 5 hours ago • Updated 22 minutes ago

Contract Corp To Corp

Contract Independent

Contract W2

On-site

Key2Source INC

Fitment

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Job Details

Skills

Azure
Kubernetes
AI
Terraform
GCP
GenAI
OpenShift
MLOps

Summary

Job Title: Senior Cloud Platform Engineer (GenAI Platforms)

Location: Charlotte, NC (5 Days onsite)

Duration: 12+ months

Primary Skills

Google Cloud Platform
Azure
Terraform
Kubernetes
OpenShift (OCP)
Platform Engineering
Observability
SRE / SLOs
Python
GenAI Platforms
Arize AI
Claude Cowork
HashiCorp Vault
Internal Developer Portals
LLMs
RAG
MLOps / LLMOps

Key Responsibilities

Architect and implement enterprise-scale cloud platforms across Google Cloud Platform and Azure.
Build secure landing zones, cloud governance models, and organizational policies.
Design hybrid connectivity and cloud networking solutions.
Develop Infrastructure as Code (IaC) using Terraform for scalable deployments.
Manage Kubernetes platforms including GKE and OpenShift (OCP).
Implement observability, monitoring, and SRE practices with defined SLOs/SLIs.
Integrate Arize AI and GenAI observability solutions into AI platforms.
Support GenAI, LLM, and RAG-based application deployments.
Develop platform engineering solutions and internal developer portals.
Implement secrets management and security controls using HashiCorp Vault.
Collaborate with DevOps, AI/ML, and engineering teams for cloud automation initiatives.
Support MLOps and LLMOps lifecycle management.

Required Qualifications

6+ years of experience in cloud/platform engineering.
Experience with Arize AI or AI observability platforms.
Strong expertise in Google Cloud Platform and Azure cloud environments.
Hands-on experience with Terraform, Kubernetes, and OpenShift.
Experience implementing enterprise observability and SRE frameworks.
Strong understanding of cloud governance, networking, and security.
Proficiency in Python scripting and automation.
Experience with GenAI platforms and modern AI infrastructure.

Preferred Qualifications

Knowledge of LLM deployment architectures and RAG frameworks.
Experience building internal developer platforms and self-service tooling.
Exposure to enterprise AI governance and compliance standards.

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: 91165889
Position Id: 2026-507
Posted 5 hours ago

Company Info

About Key2Source INC

At Key2Source, we recognize your drive for a competitive edge and are equipped with the expertise and resources to provide the technological advantage you seek. We offer advanced, professional staffing solutions, both permanent and contingent, throughout the United States. Our extensive database of staffing resources is supported by a robust Human Resources management system, ensuring high quality.

To support your success, we continually refine our expertise and invest heavily in the training and development of our team, utilizing the latest technology. Our commitment to excellence is reflected in our near 100% client retention rate across diverse industries such as IT/ITES, retail, telecom, e-commerce, FMCG, logistics, pharmaceuticals, and more. Our dedication to quality and our proven track record establish us as a leader in workforce solutions.

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