TL;DR
Staff/Principal Platform Engineer (AI): Building, securing, and scaling AI products by taking end-to-end ownership of the cloud infrastructure. Focus on partnering with engineers across the organization to deploy and evolve services across major cloud providers using Terraform, ArgoCD, and other tooling.
Location: 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)
Salary: $280,000 - $350,000
Company
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.
What you will do
- Work closely with engineers to design, deploy, and maintain reliable, high-performance, and secure cloud infrastructure.
- 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 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.
Requirements
- 8-10 years of experience in software engineering.
- 3+ years of experience with infrastructure-as-code.
- Proficiency in managing Kubernetes clusters and applications.
- Experience in creating and maintaining CI/CD pipelines for both applications and infrastructure deployments.
- 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.
Culture & Benefits
- Total compensation includes equity and benefits.
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