Platform Engineer - AI Core

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.<br><br>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.<br><br>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.<br><br>Beyond immediate needs, they will help establish platform infrastructure best practices that can be applied across the firm's broader cloud-native footprint.<br><br><strong>Qualifications<br><br></strong><ul><li>5+ in a platform/infrastructure/DevOps engineering role</li><li>Bachelor’s degree in Computer Science or a related field</li><li>Deep hands-on experience with Kubernetes (EKS preferred) — cluster design, networking (CNI, service mesh), RBAC, and security policies</li><li>Strong AWS expertise — VPC architecture, IAM, ECS/EKS, networking, and security groups</li><li>Proficiency with Infrastructure-as-Code tools such as Terraform, CloudFormation, or Pulumi</li><li>Experience designing container architectures for multi-tenant or security-sensitive workloads</li><li>Familiarity with GitOps workflows and CI/CD platforms (ArgoCD, GitHub Actions, Jenkins)</li><li>Python and/or Go for tooling and automation</li><li>Technical leadership — ability to drive architectural decisions and mentor others</li><li>Desire to deliver cutting edge infrastructure in a fast-moving environment</li><li>Stay up-to-date with the latest advancements in cloud-native infrastructure, container security, and AI workload deployment<br><br></li></ul><strong>Nice to have<br><br></strong><ul><li>Familiarity with AI infrastructure —agent orchestration frameworks, MCP</li><li>InfoSec familiarity using Sandboxing and setting policies with REGO, OPA, etc.</li><li>Experience in the financial domain — regulated environments, compliance-aware infrastructure</li><li>Experience with container orchestration platforms for autonomous or long-running AI workloads</li><li>Prior experience securing production AI agent workloads at scale<br><br></li></ul>The estimated base salary range for this position is $175,000 to $250,000, which is specific to New York and may change in the future. Millennium pays a total compensation package which includes a base salary, discretionary performance bonus, and a comprehensive benefits package. When finalizing an offer, we take into consideration an individual’s experience level and the qualifications they bring to the role to formulate a competitive total compensation package.