Staff / Principal Platform Engineer - USA
Role Overview
As a Staff/Principal Platform Engineer, you will own the cloud infrastructure and deployment pipelines for Inworld's AI products, working closely with engineering teams to build, secure, and scale services across major cloud providers. This senior-level role involves driving engineering velocity through AI-powered tooling, managing Kubernetes clusters, and fostering a 'you build it, you run it' culture. You'll have end-to-end responsibility for reliability, performance, and automation, directly shaping how the company operates and innovates.
Perks & Benefits
The role offers a competitive base salary range of $280,000-$350,000 plus equity and benefits. While the position is listed as remote, candidates must be based in the SF Bay Area or willing to relocate, with on-site work in the South Bay office a few days per week. You'll work with a team of top AI researchers and engineers at a well-funded startup with backing from major investors like Microsoft and Meta, providing opportunities for high-impact work and career growth in the AI field.
Full Job Description
About Inworld
Inworld is a product-oriented research lab of top AI researchers and engineers, developing best-in-class realtime multimodal models and the only realtime orchestration platform optimized for thousands of queries per second.
We’ve raised more than $125M from Lightspeed, Section 32, Kleiner Perkins, Microsoft’s M12 venture fund, Founders Fund, Meta and Stanford, among others. Our technology has powered experiences from companies such as NVIDIA, Microsoft Xbox, Niantic, Logitech Streamlabs, Wishroll, Little Umbrella and Bible Chat. We’ve also been recognized by CB Insights as one of the 100 most promising AI companies globally and have been named one of LinkedIn's Top 10 Startups in the USA.
About the role
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.
What you’ll do
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.
Expected experience
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).
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.
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