> Markdown version of [/jobs/ext/4013535-platform-engineer](https://www.wearedevelopers.com/jobs/ext/4013535-platform-engineer). 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). --- # Platform Engineer - **Company:** PHONICS, LLC - **Location:** San Francisco, CA, United States - **Contract:** Permanent contract - **Skills:** Abstraction Layers, Artificial Intelligence, Amazon Web Services, Microsoft Azure, Cloud Computing, Software Debugging, Monitoring of Systems, Python (Programming Language), Inference Optimization, TypeScript, WebSocket, WebRTC, AI Infrastructure, System Availability, Delivery Pipeline, Backend, Containerization, Kubernetes, Machine Learning Operations, Terraform, Stream Processing, Docker - **Published:** October 29, 2026 - **Apply:** https://www.careerbuilder.com/job-details/platform-engineer-san-francisco-ca--9a0f9384-76d9-4cf2-94e6-62b94bc31f75 ## About the Role Artificial Intelligence (AI), Research Laboratory, Customer Support/Service, Logistics, Healthcare, Machine Tool, Cloud Computing, Incident Response, Production Systems, Process Improvement, * Strong experience with cloud infrastructure - GCP, AWS, or Azure - and containerized deployments (Docker, Kubernetes) * Proficiency with infrastructure-as-code tooling (Terraform or equivalent) * A track record of improving reliability and developer experience in high-throughput, latency-sensitive systems * Ownership mindset: you don't wait to be asked and you see problems through to the end * Comfort dropping below the abstraction layer - able to debug at the level of bits and bytes when it's called for * Strong system design instincts - clean architecture, high availability, and as few moving parts as possible * A track record of driving performance at scale - pushing requests-per-second toward best-in-class efficiency Nice To Have * Experience with real-time or streaming systems (WebSockets, WebRTC, or similar) * Familiarity with ML/AI infrastructure - model serving, GPU workloads, or inference optimization * Strong proficiency in TypeScript and Python * You are a former founder ## Description As a Platform Engineer at Phonic, you'll build the foundation that lets our engineering team move fast without breaking things. Real-time voice AI at our scale is unforgiving - latency is visible, reliability is everything, and our systems need to perform flawlessly across hundreds of thousands of mission-critical calls every day. You'll own the infrastructure, tooling, and deployment systems that make that possible, freeing our backend and research teams to focus on pushing the frontier., * Design and maintain the core infrastructure that powers 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 closely with backend engineers and researchers to translate cutting-edge AI capabilities into production-ready systems * Drive improvements to how we build, test, and ship software - reducing friction across the entire development lifecycle