Cloud Infrastructure & AI Engineer

Capgemini•New York, NY
•$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
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