Cloud & AI Platform Engineer

Dice; Atlanta, Northern (GA, KY); Hybrid; USD 83,000 - 152,000; Full time

Job summary

Dice is seeking a Cloud & AI Platform Engineer to build and operate secure, reusable infrastructure across Azure, AWS, on-prem, and Oracle. The role is hybrid in Atlanta, GA or Cincinnati, OH, for a 6-month contract-to-hire engagement.

You will migrate VMware workloads to Kubernetes, extend Terraform and Ansible automation, support GitHub CI/CD, and lay the groundwork for AI infrastructure governance while training staff. Strong Kubernetes and DevOps experience are required to succeed.

Qualifications

• Hands-on Kubernetes in multi-cloud environments.
• Proficiency with Terraform and Ansible for infrastructure automation.
• Experience with DevOps/CI-CD pipelines and GitHub workflows.

Responsibilities

• Build and operate infrastructure across Azure, AWS, on-prem and Oracle environments to support access to internal systems and standardized deployment pipelines.
• Support and accelerate migration of internal apps from VMware to Kubernetes-based containerization.
• Help mature IaS model enabling automated provisioning of compute resources via ServiceNow.
• Extend and enhance Terraform and Ansible automation for broader adoption and Kubernetes deployment model.
• Support GitHub-based deployment workflows and CI/CD pipelines.

Skills

Kubernetes

Multi-cloud

Azure

AWS

DevOps/CI-CD

GitHub workflows

Tools

Terraform

Ansible

GitHub Actions

Job description

Title: Cloud & AI Platform Engineer

Location: Atlanta, GA or Cincinnati, OH (Hybrid)

Duration: 6 months contract to hire

Interview: 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