Cloud Infrastructure & AI Engineer

Capgemini • New York, NY

4d • $100,000 - $130,000 • Onsite

About The Position

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.

Requirements

• 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, Vertex AI, OpenAI / Generative AI solutions

Responsibilities

• Design, implement, and manage secure, scalable, and highly available cloud infrastructure on Azure, AWS, or GCP.
• 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.

Benefits

• Paid time off based on employee grade (A-F), defined by policy: Vacation: 12-25 days, depending on grade, Company paid holidays, Personal Days, Sick Leave
• Medical, dental, and vision coverage (or provincial healthcare coordination in Canada)
• Retirement savings plans (e.g., 401(k) in the U.S., RRSP in Canada)
• Life and disability insurance
• Employee assistance programs
• Other benefits as provided by local policy and eligibility

What This Job Offers

• Job Type: Full-time
• Career Level: Senior