About the role
What we're looking for:
We need a Staff or Principal-level Platform Engineer with 8+ years of experience in software engineering and deep expertise in Kubernetes and infrastructure-as-code. You should be comfortable taking end-to-end ownership of cloud infrastructure at scale and have a track record of building reliable, high-performance systems that support consumer-facing AI products. Bonus points if you have experience with AI/ML infrastructure or realtime low-latency workloads.
What you'll do:
- Design, deploy, and maintain reliable, high-performance, and secure cloud infrastructure for Inworld's TTS and LLM Router products
- Take ownership of CI/CD pipelines and infrastructure deployments using Terraform, ArgoCD, GitHub Actions, and related tooling
- Work closely with engineers across the organization to deploy and evolve services across major cloud providers (GCP, Azure, Oracle Cloud)
- 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 the necessary tools and processes for monitoring reliability, availability, and performance of services
- Conduct root cause analysis to identify critical issues and develop automated solutions to prevent recurrence
- Manage and scale Kubernetes clusters, including creating Kustomize manifests and Helm charts for application deployments
