Staff / Principal Platform Engineer (AI)

Staff / Principal Platform Engineer

Company

Inworld AI

Conditions

6 days agoHeadSalary: 280K - 350KMountain View, California, USA Hybrid Full Time Devops Jobs by Inworld AI

Inworld AI Inworld AI develops AI products for growing applications, helping developers go from prototype to production faster. Their offerings include advanced text-to-speech (TTS) technology and an upcoming Runtime product, aimed at enhancing consumer applications with expressive, real-time voice AI. Distributed Funding Unknown Strategic ($10T) Seed ($7T) Investors Blizzard M13 MH Ventures Skyland Ventures Red Building Capital Projects Inworld AI AI About Inworld AI Inworld develops AI products for consumer applications. They offer a text-to-speech model that aims for high quality with better pricing, lower latency, more control, local serving options, and open training code. They also have a product called Inworld Runtime, which is currently in private preview. Their services are used by partners like XBOX, Ubisoft, NVIDIA, and Meta. They focus on helping developers go from prototype to production faster and increase experimentation velocity to deploy new AI improvements daily. View jobs by Inworld AI

Skills

Ansible Argocd Bash Ci/Cd Cloud Infrastructure Github Actions Golang Google Cloud Platform Helm Infrastructure-As-Code Kubernetes Kustomize Microsoft Azure Monitoring Oracle Cloud Python Reliability Root-Cause Analysis Terraform Terragrunt

About the Role

As a Staff / Principal Platform Engineer, you'll take end-to-end ownership of building, securing, and scaling AI products. You'll be the driving force behind 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 operations and innovation happen.

Requirements

• 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
• Experience in creating and maintaining CI/CD pipelines for both applications and infrastructure deployments (using tools like Terraform/Terragrunt, ArgoCD, GitHub Actions, Ansible, etc.)
• Deep knowledge of at least one major cloud provider (Google Cloud Platform, Microsoft Azure, Oracle Cloud)
• Proficient in at least one backend programming/scripting language such as Golang, Python, and Bash
• Candidates must be based in the SF Bay Area or willing to relocate

Responsibilities

• Work closely with engineers to design, deploy, and maintain reliable, high-performance, and secure cloud infrastructure for TTS and LLM Router
• Drive engineering velocity by identifying and building AI-powered tooling and workflows that improve how teams develop and deploy software
• Facilitate a "you build it, you run it" culture by providing tools and processes for monitoring 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

Benefits

• Equity

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