Senior Cloud Platform Engineer (GenAI Platforms) at Charlotte, NC (5 Days onsite)

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Bhavesh Choudhary

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May 20, 2026, 11:20:16 AMMay 20
to C2C & C2H requirements

Hello,

 

Hope you are doing good.

 

This is Bhavesh from Key2Source Inc. . Please find the job description below and send me the updated resume.

 

Job Title: Senior Cloud Platform Engineer (GenAI Platforms)

Location: Charlotte, NC (5 Days onsite)

Duration: 12+ months

 

Primary Skills

·         GCP

·         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 GCP 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 GCP 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.


Bhavesh Choudhary

Senior Talent Scout – Information Technology Key2Source INC

P:+1-302-213-1574
E: 
bha...@key2source.com | www.key2source.com
5941 81st, PL N, Pinellas Park, FL | 33781, USA

Hitesh Kumar Wadhwa

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May 20, 2026, 11:47:17 AMMay 20
to c2cc2hreq...@googlegroups.com

New role::

 

Job Title: Senior GCP Platform Engineer

Location: Charlotte, NC (5 Days onsite)

Duration: 12+ months

Only GC and USC C2C is workable

 

Primary Skills

·         GCP

·         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

 

Required Qualifications

·         6+ years of experience in cloud/platform engineering.

·         Experience with Arize AI.

·         Strong expertise in GCP 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.

 

Thank You,

 

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Hitesh Kumar Wadhwa
Head of Talent Deployment
, Key2Source INC

P:+1-302-732-0114
E: hite...@key2source.com | www.key2source.com

5941 81st, PL N, Pinellas Park, FL | 33781, USA

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