AI Platform Infrastructure Engineer

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.

Do you have experience in Terraform?, Do you have a Bachelor’s degree?, Must have

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, 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/DevOps 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

Nice to have

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