> Markdown version of [/jobs/ext/4656068-senior-infrastructure-engineer-ai](https://www.wearedevelopers.com/jobs/ext/4656068-senior-infrastructure-engineer-ai). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md).

---

# Senior Infrastructure Engineer - AI

- **Company:** SELECT OPEN MRI LLC
- **Location:** San Francisco, CA, United States
- **Experience:** Expert
- **Salary:** $150,000 - $200,000
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Amazon Web Services, VoIP, Cloud Computing, Distributed Systems, Session Initiation Protocols, Machine Learning, WebRTC, Datadog, Graphics Processing Unit (GPU), Real Time Systems, Kubernetes, Machine Learning Operations, Golang
- **Published:** November 10, 2026
- **Apply:** https://www.careerbuilder.com/job-details/senior-infrastructure-engineer-ai-san-francisco-ca--d0c58245-7e60-41bc-9d66-a1c008f9b8d9

## About the Role

Artificial Intelligence (AI), Artificial Intelligence (AI), Cloud Computing, Startup, Distributed Computing, Telephony, Building Systems, Machine Learning, High Throughput, Voice Applications, * 3-6 years building and scaling distributed systems, with deep knowledge of cloud infra

 * Experience at high-throughput social/fintech companies or fast-growing startups (Seed-Series C)
 * Proven track record with high-volume, low-latency workloads, streaming, or real-time processing
 * CS degree from a university in the US, Canada, or Europe
 * Skilled in Kubernetes, AWS, Go, Datadog; experience with GPUs, ML infra, and real-time audio/video
 * Background in telephony systems (SIP, VOIP, WebRTC) and/or security and compliance

Tech Stack

Kubernetes, AWS, Go, Datadog, GPUs, SIP, VOIP, WebRTC

## Description

* Architect and build distributed systems using Kubernetes and AWS for real-time voice processing
 * Design and optimize ML infrastructure for training and inference across multiple regions
 * Integrate with complex telephony systems (SIP, VOIP, WebRTC) and enterprise phone networks
 * Ensure reliability through robust monitoring, alerting, and incident response (Datadog)
 * Anticipate and solve scaling challenges as call volume grows exponentially
 * Implement security and compliance best practices for regulated enterprise customers