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# Cloud Infrastructure & AI Engineer

- **Company:** Capgemini
- **Location:** Atlanta, GA, United States
- **Experience:** Expert
- **Salary:** $100,000.0 - $130,000.0
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Amazon Web Services, Microsoft Azure, Bash Shell, Cloud Computing, Cloud Computing Security, Cloud Engineering, Continuous Integration, DevOps, Disaster Recovery, Github, Identity and Access Management, Python (Programming Language), Linux System Administration, Machine Learning, Windows PowerShell, Prometheus, Azure Machine Learning, Datadog, Scripting, Google Cloud, Cloud Monitoring, Grafana, Cloudformation, Containerization, AI Platforms, Kubernetes, Infrastructure Automation Frameworks, Information Technology, Bicep, Machine Learning Operations, Terraform, Splunk, Data Pipelines, Docker, Jenkins
- **Published:** September 30, 2026
- **Apply:** https://www.dice.com/job-detail/9045da4e-9226-4672-b5b2-d049054eb82c

## About the Role

* Bachelor's degree in Computer Science, Information Technology, Engineering, or related field.
 * 7+ years of experience in Cloud Infrastructure, DevOps, or Platform Engineering.
 * Strong experience with Azure, AWS, or Google Cloud Platform.
 * Hands-on expertise in:
 + Infrastructure as Code (Terraform, ARM, Bicep, CloudFormation)
 + Kubernetes and Container Orchestration
 + CI/CD tools (Azure DevOps, GitHub Actions, Jenkins)
 + Linux Administration and Scripting (PowerShell, Bash, Python)
 + Experience supporting AI/ML infrastructure and cloud-based AI services.
 + Strong understanding of networking, security, identity management, and cloud governance.
 + Knowledge of AI/ML platforms such as:
 + Azure AI Services
 + Azure Machine Learning
 + AWS SageMaker

## Description

We are looking for a highly skilled Cloud Infrastructure & AI Engineer to join our growing technology team. This role will focus on designing, implementing, and managing scalable cloud infrastructure while enabling AI/ML platforms and solutions across the organization. The ideal candidate should have strong expertise in cloud technologies, infrastructure automation, DevOps practices, and AI ecosystem enablement., * Design, implement, and manage secure, scalable, and highly available cloud infrastructure on Azure, AWS, or Google Cloud Platform.

 * Build and maintain Infrastructure as Code (IaC) using Terraform, ARM, Bicep, or CloudFormation.
 * Develop and optimize cloud-native architectures supporting AI/ML workloads.
 * Deploy, manage, and monitor AI platforms, data pipelines, and machine learning infrastructure.
 * Implement CI/CD pipelines for infrastructure and application deployments.
 * Manage containerized environments using Docker and Kubernetes (AKS/EKS/GKE).
 * Ensure cloud security, governance, compliance, and cost optimization.
 * Collaborate with AI/ML engineers, data scientists, and application teams to provision and maintain AI-ready environments.
 * Implement monitoring and observability solutions using tools such as Azure Monitor, Datadog, Prometheus, Grafana, or Splunk.
 * Evaluate and integrate emerging cloud and AI technologies to improve operational efficiency and innovation.
 * Support disaster recovery, backup strategies, and business continuity planning.