Staff/Principal Platform Engineer — AI Cloud Infra Lead

Inworld AI; Mountain View (CA); On-site; USD 150,000 - 210,000; Full time

Job summary

Inworld AI is seeking a Staff / Principal Platform Engineer in Mountain View, CA to own and scale our cloud infrastructure for realtime voice models and AI products. You will deploy and evolve services across major cloud providers using Terraform, ArgoCD, Kubernetes, and related tooling.

You will build AI-enabled tooling to accelerate development and delivery, and foster a culture of ownership where teams run what they build, ensuring reliability, security, and performance across the stack.

Qualifications

• 8-10 years of software engineering experience.
• 3+ years of infrastructure-as-code experience.
• Proficient in managing Kubernetes clusters and related tooling.
• Experience creating and maintaining CI/CD pipelines for applications and infrastructure.

Responsibilities

• Design, deploy, and maintain reliable, high-performance cloud infrastructure for TTS/LLM Router.
• Drive velocity by building AI-powered tooling and workflows.
• Provide tools and processes for monitoring reliability, availability, and performance of services.
• Manage pipelines to ensure smooth code integration and deployment.
• Conduct root-cause analysis and implement automated solutions to prevent recurrence.

Skills

Infrastructure as code

Cloud infrastructure

DevOps culture

Tools

Terraform

ArgoCD

Kubernetes

Kustomize

Helm

CI/CD pipelines

Job description

Inworld AI is seeking a Staff / Principal Platform Engineer in Mountain View, CA to own and scale our cloud infrastructure for realtime voice models and AI products. You will deploy and evolve services across major cloud providers using Terraform, ArgoCD, Kubernetes, and related tooling.

You will build AI-enabled tooling to accelerate development and delivery, and foster a culture of ownership where teams run what they build, ensuring reliability, security, and performance across the stack.