AI Platform Infrastructure Engineer

Project description

Our partner - a top tier Hedge Fund - keeps expanding AI workflows. We are looking for a platform infrastructure engineer to design, build, and operate cloud-native infrastructure for deploying AI workloads safely and reliably at scale.

• The engineer will design container architectures for security-sensitive and multi-tenant environments, implement network policies and access controls for workload isolation, build CI/CD pipelines for reliable deployment, and establish infrastructure-as-code practices for reproducibility and auditability. They will work closely with AI engineers, but their primary focus is the platform itself — making it secure, scalable, and operationally excellent.

• Deep hands-on experience with Kubernetes (EKS preferred) — cluster design, networking (CNI, service mesh), RBAC, and security policies
• Strong AWS expertise — VPC architecture, IAM, ECS/EKS, networking, and security groups
• Proficiency with Infrastructure-as-Code tools such as Terraform, Cloud Formation, or Pulumi
• Experience designing container architectures for multi-tenant or security-sensitive workloads
• Familiarity with Git Ops workflows and CI/CD platforms (ArgoCD, Git Hub Actions, Jenkins)
• BS + 5 years or MS + 3 years in a platform/infrastructure/Dev Ops engineering role
• Python and/or Go for tooling and automation
• Up-to-date with the latest advancements in cloud-native infrastructure, container security, and AI workload deployment

• Familiarity with AI infrastructure — agent orchestration frameworks, MCP
• Experience in the financial domain — regulated environments, compliance-aware infrastructure
• Experience with container orchestration platforms for autonomous or long-running AI workloads
• Prior experience securing production AI agent workloads at scale