Platform Engineer - Real-Time AI Infra & Scale

Simple AI Lab Company; San Francisco, Northern (CA, KY); Hybrid; USD 150,000 - 210,000; Full time

Benefits offered by this job

Competitive salary

Meaningful equity

SF office

Health, dental & vision insurance

Free lunch & dinner at the office

Late-night Ubers

Team events

Job summary

Simple AI builds AI voice agents that handle real customer conversations over the phone. Our platform requires reliability and low latency; we hire a Platform Engineer to build and run the infrastructure behind those conversations and ensure scalable, production-grade operations.

You’ll work with founders and the engineering team on architecture, deployment workflows, and observability, owning infrastructure pieces end-to-end in a hands-on role based in our San Francisco office.

Qualifications

• Hands-on experience running Kubernetes and AWS infrastructure in production.
• Strong Terraform experience with modules, state management, and safe infrastructure changes.
• Solid understanding of Linux, containers, networking, and distributed systems.
• Experience building CI/CD pipelines and operating services through deployments, incidents, and growth.
• Ability to write software and automation in Python, Go, or TypeScript.
• Good judgment about when to introduce new infrastructure and when to keep things simple.
• Ownership, communicates clearly, and follows problems through to a lasting fix.

Responsibilities

• Build and operate AWS infrastructure using Terraform and Kubernetes, including EKS clusters, networking, IAM, load balancing, and secrets management.
• Develop reusable infrastructure modules and consistent development, staging, and production environments.
• Build deployment workflows with automated checks, clear deployment visibility, and reliable rollbacks.
• Design autoscaling and graceful shutdown behavior for services handling long‑running voice conversations.
• Improve observability across infrastructure and application services, with useful dashboards, actionable alerts, and clear reliability and latency metrics.
• Investigate production issues, improve incident response, and address recurring problems at their source.
• Partner with application and AI engineers to deploy new services, improve performance, and manage infrastructure costs.
• Make it easier for engineers to provision resources, deploy changes, and debug their services safely.

Skills

Kubernetes in production

AWS infrastructure

Terraform

Linux & containers

CI/CD pipelines

Python/Go/TypeScript

Ownership & communication

Tools

Argo CD

Helm

PostgreSQL

Redis

Job description

Simple AI builds AI voice agents that handle real customer conversations over the phone. Our platform requires reliability and low latency; we hire a Platform Engineer to build and run the infrastructure behind those conversations and ensure scalable, production-grade operations.

You’ll work with founders and the engineering team on architecture, deployment workflows, and observability, owning infrastructure pieces end-to-end in a hands-on role based in our San Francisco office.