AI Platform Infrastructure Engineer

Job summary

Design, build, and operate cloud-native infrastructure for deploying AI workloads safely and reliably at scale for a top-tier Hedge Fund.

Qualifications

• Deep hands-on experience with Kubernetes (EKS preferred), including cluster design, networking (CNI, service mesh), RBAC, and security policies
• Strong AWS expertise, including VPC architecture, IAM, ECS/EKS, networking, and security groups
• Proficiency with Infrastructure-as-Code tools such as Terraform, CloudFormation, or Pulumi
• Experience designing container architectures for multi-tenant or security-sensitive workloads
• Familiarity with GitOps workflows and CI/CD platforms (ArgoCD, GitHub Actions, Jenkins)
• BS + 5 years or MS + 3 years in a platform, infrastructure, or DevOps engineering role
• Proficiency in Python and/or Go for tooling and automation
• Up-to-date with advancements in cloud-native infrastructure, container security, and AI workload deployment
• Familiarity with AI infrastructure, agent orchestration frameworks, and MCP (Nice to have)
• Experience in the financial domain, including regulated environments and compliance-aware infrastructure (Nice to have)
• Experience with container orchestration platforms for autonomous or long-running AI workloads (Nice to have)
• Prior experience securing production AI agent workloads at scale (Nice to have)

Responsibilities

• 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
• Establish infrastructure-as-code practices for reproducibility and auditability
• Work closely with AI engineers
• Ensure the platform is secure, scalable, and operationally excellent

Skills

Industry

Relocation