Staff / Principal Platform Engineer

About the role

MeeBoss is sharing this active opportunity on behalf of the hiring company. The role involves taking end-to-end ownership of cloud infrastructure for real-time text-to-speech (TTS) and LLM routing products. The engineer will design, scale, and secure a Kubernetes-based internal platform across multiple cloud providers to support low-latency, high-availability AI inference at consumer scale. This is a high-ownership position on a small SRE team with a strong possibility of growing into a team lead role. Opportunity to shape how the company builds, deploys, monitors, and scales its services. Location: Mountain View, CA (Hybrid).

Responsibilities

• Design, deploy, and maintain reliable, high-performance, and secure cloud infrastructure for real-time TTS and LLM routing products.
• Manage and scale production Kubernetes clusters, authoring Helm charts and Kustomize manifests for application deployments.
• Own CI/CD pipelines and infrastructure deployments using Terraform, Terragrunt, ArgoCD, GitHub Actions, and related GitOps tooling.
• Partner with engineering teams to deploy and evolve services across Google Cloud Platform, Microsoft Azure, and Oracle Cloud.
• Build the tooling and processes that let teams monitor the reliability, availability, and performance of their own services.
• Lead root cause analysis for critical incidents and deliver automated solutions that prevent recurrence.
• Identify and build AI-powered developer tooling and workflows that increase engineering velocity across the organization.
• Influence org-wide engineering practices and tooling decisions, optimizing the platform for real-time, low-latency AI inference.

Requirements

Bachelor’s degree.

Skills

• Proficiency with Kubernetes
• Proficiency with Terraform
• Proficiency with GitOps
• Proficiency with CI/CD
• Proficiency with Automation

Benefits

None provided.

Pay

$280,000-350,000/year