Platform Engineer — Real-Time Voice AI Infra

Phonic, Inc.; San Francisco (CA); On-site; USD 180,000 - 250,000; Full time

Benefits offered by this job

Equity

Meals provided

Healthcare coverage

Team off-sites

Job summary

Phonic, Inc. in San Francisco is seeking a Platform Engineer to build and maintain the real-time voice AI infrastructure. You will own cloud, deployment pipelines, and observability, enabling the team to push cutting-edge AI capabilities safely at scale.

You will collaborate with backend engineers and researchers, define SLOs, improve tooling, and drive reliability and performance in latency-sensitive systems, with opportunities for equity and growth.

Qualifications

• Experience with cloud infrastructure (GCP, AWS, or Azure) and containerized deployments (Docker, Kubernetes).
• Proficiency with infrastructure-as-code tooling (Terraform or equivalent).
• Track record of improving reliability and developer experience in high-throughput, latency-sensitive systems.
• Ownership mindset: proactive problem solving and end-to-end ownership.

Responsibilities

• Design and maintain the core infrastructure powering Phonic's real-time voice AI platform—cloud infrastructure, deployment pipelines, and observability systems.
• Build internal tooling and abstractions that improve engineering velocity across the team.
• Own reliability and performance at scale—define SLOs, instrument monitoring, and lead incident response when things go wrong.
• Partner with backend engineers and researchers to translate AI capabilities into production-ready systems.
• Drive improvements to how we build, test, and ship software—reducing friction across the development lifecycle.

Skills

Cloud infrastructure

Reliability

Ownership mindset

Tools

Docker

Kubernetes

Terraform

Job description

Phonic, Inc. in San Francisco is seeking a Platform Engineer to build and maintain the real-time voice AI infrastructure. You will own cloud, deployment pipelines, and observability, enabling the team to push cutting-edge AI capabilities safely at scale.

You will collaborate with backend engineers and researchers, define SLOs, improve tooling, and drive reliability and performance in latency-sensitive systems, with opportunities for equity and growth.