Inworld AI

Staff / Principal Platform Engineer - USA

Mountain View, California, USA · Principal · Full-time

Sponsorship not specified$280k-$350kDetected 126 days ago

PythonGoGitGCPAzureCloud PlatformsKubernetesTerraformAnsibleHelmCI/CDGitHub ActionsPlatform EngineeringLLMsResearch

About the role

You'll be the driving force behind our cloud infrastructure, partnering with engineers across the organization to deploy and evolve services across major cloud providers using Terraform, ArgoCD, and other tooling.
In this high-impact role, you'll identify what needs to be done and move it forward, directly shaping how we operate and innovate.

Work closely with engineers to design, deploy, and maintain reliable, high-performance, and secure cloud infrastructure for our TTS https://inworld.ai/tts and LLM Router https://inworld.ai/router.
Drive engineering velocity by identifying and building AI-powered tooling and workflows that improve how our teams develop and deploy software.
Facilitate a "you build it, you run it" culture by providing the necessary tools and processes for monitoring the reliability, availability, and performance of services.
Manage pipelines to ensure smooth and efficient code integration and deployment.
Conduct root cause analysis to identify critical issues and develop automated solutions to prevent recurrence.
Inworld is a research lab of top researchers and engineers, building the world's top-ranked realtime voice models.

8-10 years of experience in software engineering.
3+ years of experience with infrastructure-as-code.
Proficiency in managing Kubernetes clusters and applications, including creating Kustomize manifests/Helm charts for new applications.

The US base salary range for this full-time position is $280,000 - $350,000.
In addition to base pay, total compensation includes equity and benefits.
Within the range, individual pay is determined by work location, level, and additional factors, including competencies, experience, and business needs.
The base pay range is subject to change and may be modified in the future.

This listing is sourced directly from Inworld AI's careers page and normalized into a canonical job model.