About the role
What will you do at Inworld?
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
Which skills does this role require?
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