Platform Engineer - AI Core

Millennium•Miami, FL

2d•$175,000 - $250,000•Onsite

About The Position

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. AI systems — including autonomous agents, model-serving pipelines, and long-running inference workloads — present unique infrastructure challenges: multi-tenant isolation, network security, container lifecycle management, and operational resilience. This role owns the Kubernetes platform layer that makes safe cloud deployment of these workloads possible. 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. Beyond immediate needs, they will help establish platform infrastructure best practices that can be applied across the firm's broader cloud-native footprint.

Requirements

5+ years in a platform/infrastructure/DevOps engineering role
Bachelor’s degree in Computer Science or a related field
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)
Python and/or Go for tooling and automation
Technical leadership — ability to drive architectural decisions and mentor others
Desire to deliver cutting edge infrastructure in a fast-moving environment
Stay up-to-date with the latest advancements in cloud-native infrastructure, container security, and AI workload deployment

Nice To Haves

Familiarity with AI infrastructure — agent orchestration frameworks, MCP
InfoSec familiarity using Sandboxing and setting policies with REGO, OPA, etc.
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

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
Focus on making the platform secure, scalable, and operationally excellent
Help establish platform infrastructure best practices for the firm's broader cloud-native footprint