Senior AI Infrastructure Engineer — Real-Time Cloud/Telephony

Open Select; San Francisco (CA); On-site; USD 150,000 - 200,000; Full time

Benefits offered by this job

Healthcare, dental, vision

Meaningful equity

Collaborative culture

Job summary

A fast-growing AI startup is seeking a Senior Infrastructure Engineer in San Francisco. In this role, you will architect and scale distributed systems that handle AI-driven phone conversations for major brands. You will contribute to optimizing ML infrastructure and integrating complex telephony systems. Ideal candidates have 3-6 years of experience in cloud infrastructure and deep knowledge of Kubernetes, AWS, and real-time processing. This position offers a competitive salary and equity in a high-growth environment.

Qualifications

• 3–6 years building and scaling distributed systems, with deep knowledge of cloud infrastructure.
• Experience in high-throughput social/fintech companies or fast-growing startups.
• Proven track record with high-volume, low-latency workloads.

Responsibilities

• Architect and build distributed systems for real-time voice processing.
• Design and optimize ML infrastructure for training and inference.
• Integrate with complex telephony systems and enterprise phone networks.

Skills

Kubernetes

AWS

Go

Datadog

Telephony systems

Real-time processing

Education

CS degree from a university in the US, Canada, or Europe

Tools

Kubernetes

AWS

Datadog

GPUs

Job description

A fast-growing AI startup is seeking a Senior Infrastructure Engineer in San Francisco. In this role, you will architect and scale distributed systems that handle AI-driven phone conversations for major brands. You will contribute to optimizing ML infrastructure and integrating complex telephony systems. Ideal candidates have 3-6 years of experience in cloud infrastructure and deep knowledge of Kubernetes, AWS, and real-time processing. This position offers a competitive salary and equity in a high-growth environment.