Platform Engineer, AI Infra & Cloud Foundations

Focused; Chicago (IL); On-site; USD 145,000 - 175,000; Full time

Job summary

Focused in Chicago is seeking a Platform Engineer to help build an enterprise AI platform. You’ll work with a Senior Platform Engineer on Kubernetes and cloud foundations, wiring up model access, deploying agents, and getting LLM workloads into production.

This role requires 5+ years in platform/infrastructure, hands‑on Kubernetes, and Python scripting. You’ll be in the Chicago office 3 days a week with up to 20% travel in the U.S.

Qualifications

• 5+ years in platform, infrastructure, DevOps, or SRE roles.
• Hands‑on production experience with Kubernetes.
• Experience with Azure and/or GCP.
• Experience with Terraform or similar IaC tools.
• Experience supporting AI/ML platforms or ML workloads in production.
• Proficiency in Python plus solid scripting skills.

Responsibilities

• Build and operate Kubernetes clusters on Azure AKS and GCP GKE.
• Write and maintain Terraform modules for cloud resources and environments.
• Build CI/CD and GitOps pipelines for platform and application deployments.
• Monitor, troubleshoot, and improve the reliability of AI/ML platform services.
• Deploy and operate supporting services for LLM applications: model gateways, vector databases, tracing, and evaluation.
• Support GPU workloads, including node pools, scheduling, and cost monitoring.
• Write runbooks and automate day‑two operations.
• Build reference agents and LLM application templates that client teams can start from.
• Help application teams integrate with the platform and debug their workloads.
• Prototype with agent frameworks and LLM APIs to test what the platform needs to support.

Skills

Platform engineering

DevOps

SRE

Python

Scripting

Tools

Kubernetes

Azure

GCP

Terraform

Job description

Focused in Chicago is seeking a Platform Engineer to help build an enterprise AI platform. You’ll work with a Senior Platform Engineer on Kubernetes and cloud foundations, wiring up model access, deploying agents, and getting LLM workloads into production.

This role requires 5+ years in platform/infrastructure, hands‑on Kubernetes, and Python scripting. You’ll be in the Chicago office 3 days a week with up to 20% travel in the U.S.