Our client, a leading conversational AI platform, is looking for a Senior Infrastructure Engineer in San Francisco.Their technology lets industry defining enterprises deploy AI agents across voice, chat, email, SMS and every other channel, and they are backed by a group of the best known venture investors in the market. The Infrastructure team builds and operates the foundations behind the product across core cloud, data, ML serving, developer platform and real time voice, partnering with product, data and ML to deliver high scale, low latency systems with clear SLOs. In office. Compensation is $250K to $330K plus equity.Role & Responsibilities:- Design, build and operate production infrastructure for high scale, low latency systems- Own core cloud infrastructure across networking, compute, storage, security and infrastructure as code- Support GPU and model serving platforms for LLM inference, including multi provider routing and on premise or air gapped deployments- Build streaming and batch data platforms powering analytics and customer facing telemetry- Lead infrastructure as code with Terraform and GitOps practice, reducing drift with reusable modules and policy as code- Participate in on call and drive down toil through automation and elimination of recurring issuesSkills & Experience:- 5+ years building and operating production infrastructure at scale- Depth in at least one of core, data, ML, platform or voice infrastructure, with curiosity to learn the rest- Proven track record meeting high availability and low latency targets, owning SLOs, p95 and p99 and load testing- Excellent observability skills across OpenTelemetry, Prometheus, Grafana or Datadog, plus incident response- Clear written communication, turning ambiguous requirements into simple, reliable designs- Even better: early platform or infrastructure hire experience, strong Kubernetes across GKE, EKS or AKS, and customer managed deployments