Staff / Principal Platform Engineer - USA

Inworld AI • Mountain View, CA

4d • $280,000 - $350,000 • Hybrid

About The Position

Join our team as a Staff / Principal Platform Engineer and take end-to-end ownership of building, securing, and scaling our AI products. 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.

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 languages such as Golang, Python, and Bash.
• Candidates must be based in the SF Bay Area or willing to relocate (you will be working on-site in our South Bay office a few days a week).

Responsibilities

• Work closely with engineers to design, deploy, and maintain reliable, high-performance, and secure cloud infrastructure for our TTS and LLM 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.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Education Level: No Education Listed