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Cloud & AI Platform Engineer

Indus ValleyAtlanta, GA🇺🇸United StatesPosted Sep 25, 2026

Why This Role Stands Out

This hybrid role offers a fantastic opportunity to shape cutting-edge cloud and AI infrastructure, enabling you to build reusable systems and accelerate application modernization. You'll thrive here if you're eager to expand your expertise in multi-cloud environments, Kubernetes, and CI/CD, making a significant impact on the company's technological future. Embrace this chance to grow your skills and contribute to innovative projects in a collaborative setting.

Quick Overview

Seniority
Mid Senior
Work mode
Hybrid
Location
Atlanta, GA, United States
Posted
20 hours ago
OracleAWSAnsibleAzureKubernetesTerraformVMware

Job Description

Title: Cloud & AI Platform EngineerLocation: Atlanta, GA or Cincinnati, OH (Hybrid)Duration: 6 months contract to hireInterview: MS Teams
Job Description:
What You'll Do:
  • Build and operate secure, reusable infrastructure across Azure, AWS, on-premises data centers, and Oracle environments to support application teams' access to internal systems, GitHub-based source control, and standardized deployment pipelines
  • Support and accelerate the migration of internal applications from VMware to Kubernetes-based containerization, enabling workload portability across cloud and on-prem environments
  • Help mature the organization's Infrastructure-as-a-Service model enabling developers to request compute resources (e.g., CPUs) via ServiceNow with automated provisioning on the back end (a longer-term, 1 2 year capability build)
  • Extend and enhance existing Terraform and Ansible automation to support additional developers and teams adopting the platform and Kubernetes deployment model
  • Support GitHub-based deployment workflows, helping teams commit and deploy code through automated CI/CD pipelines
  • Provide foundational support for AI infrastructure including cloud and potentially on-premises AI workloads understanding containerization, deployment, and infrastructure needs for AI systems (application-level AI development is not required)
  • Help establish practical infrastructure and platform standards while the organization's broader AI governance and data strategy are still being defined
  • Act as a platform owner who can reduce recurring operational dependency on the existing infrastructure leadership team, and help train internal staff on platform and AI infrastructure best practices
What We're Looking For:
  • Strong hands-on experience with Kubernetes in multi-cloud environments
  • Experience with Azure and AWS (Oracle Fusion Cloud ERP exposure is a plus but not required this can be learned on the job)
  • Experience with enterprise landing zones
  • Proficiency with Terraform and Ansible (or comparable IaC/automation tools)
  • Experience with DevOps/CI-CD pipeline design and operations, ideally with GitHub-based workflows
  • Understanding of foundational AI infrastructure concepts cloud AI services, containerized AI workloads, and deployment patterns (not application-level AI/ML development)
  • Comfort operating in ambiguous, evolving environments where governance and standards are still being established
  • Strong communication skills this role will need to train and enable other team members over time
  • Background in platform engineering / cloud infrastructure engineering / DevOps engineering more so than traditional application development
Nice to Have:
  • Familiarity with Microsoft Copilot and Microsoft-centric development ecosystems
  • Experience with ServiceNow-integrated provisioning workflows
  • Experience operationalizing on-premises AI infrastructure to reduce cloud/token costs

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