> Markdown version of [/jobs/ext/139856-platform-engineer-ai-core](https://www.wearedevelopers.com/jobs/ext/139856-platform-engineer-ai-core). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Platform Engineer - AI Core - **Company:** MILLENNIUM - **Location:** New York, NY, United States - **Experience:** Expert - **Salary:** $175,000.0 - $250,000.0 - **Contract:** Permanent contract - **Skills:** Kubernetes Security, Artificial Intelligence, Amazon Web Services, Cyber Security, Computer Networks, DevOps, Github, Identity and Access Management, Python (Programming Language), Network Security, Octopus Deploy, Role-Based Access Control, AI Infrastructure, Pulumi, Cloud Platform System, Istio, Amazon Virtual Private Cloud (VPC), Cloudformation, Kubernetes, Infrastructure Automation Frameworks, Information Technology, Virtual Agents, Terraform, Virtual Private Clouds, Jenkins - **Published:** May 29, 2026 - **Apply:** https://www.indeed.com/viewjob?jk=18fe2ac30b2eaa1b ## About the Role Do you have experience in Virtual Private Clouds?, Do you have a Bachelor's degree?, * 5+ 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 have * 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 ## Description 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. ## Related Videos - [Shipping Faster with Less: Render on Cloud Hosting, AI Workloads, and the Future of DevOps](https://www.wearedevelopers.com/videos/1894-shipping-faster-with-less-render-on-cloud-hosting-ai-workloads-and-the-future-of-devops) - [Innovating Developer Tools with AI: Insights from GitHub Next](https://www.wearedevelopers.com/videos/1268-innovating-developer-tools-with-ai-insights-from-github-next) - [From DevOps to Scaled DevOps: How We’re Rebuilding Continuous Delivery as a Platform](https://www.wearedevelopers.com/videos/100018-from-devops-to-scaled-devops-how-we-re-rebuilding-continuous-delivery-as-a-platform) - [Rate-limiting using eBPF and Istio: How to protect your SaaS customers from themselves](https://www.wearedevelopers.com/videos/100220-rate-limiting-using-ebpf-and-istio-how-to-protect-your-saas-customers-from-themselves) - [AI-Augmented DevOps with Platform Engineering](https://www.wearedevelopers.com/videos/1614-ai-augmented-devops-with-platform-engineering) - [Bringing AI Model Testing and Prompt Management to Your Codebase with GitHub Models](https://www.wearedevelopers.com/videos/1536-bringing-ai-model-testing-and-prompt-management-to-your-codebase-with-github-models) ## Related Articles - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [From Prototype to Production: Build AI Agents with This Free 4-Course Learning Path](https://www.wearedevelopers.com/magazine/655-from-prototype-to-production-build-ai-agents-with-this-free-4-course-learning-path) - [7 Cloud Computing Trends Coming in 2025 for Developers](https://www.wearedevelopers.com/magazine/412-7-cloud-computing-trends-coming-in-2025-for-developers) - [Got AI ideas but no money? Here are 10 free ways to level up your AI skills with Google Cloud](https://www.wearedevelopers.com/magazine/600-got-ai-ideas-but-no-money-here-are-10-free-ways-to-level-up-your-ai-skills-with-google-cloud) - [Stephan Gillich - Bringing AI Everywhere](https://www.wearedevelopers.com/magazine/489-stephan-gillich-bringing-ai-everywhere) - [MLOps And AI Driven Development](https://www.wearedevelopers.com/magazine/82-mlops-and-ai-driven-development)