Senior Member of Technical Staff, Platform

ABOUT THE ROLE Build the infrastructure and developer tools that support an AI product, from research and experimentation through reliable customer-facing deployments. This platform role works closely with product and research teams to make agent systems robust, scalable, and efficient. WHAT YOU'LL DO - Design and maintain cloud infrastructure, storage, CI/CD pipelines, observability, and security for research and production environments. - Build internal developer tools, automation, and shared libraries that help teams work efficiently. - Develop reliable systems for data management, model experimentation, evaluation, and deployment. - Improve build, test, and release workflows to support moving prototypes into production. - Monitor service and pipeline performance, diagnose bottlenecks, and improve reliability and reproducibility. - Contribute to platform architecture and infrastructure strategy as the product scales. WHAT WE'RE LOOKING FOR - Five to twelve years of backend or platform engineering experience, with senior or staff-level individual contributor scope and a hands-on coding practice. - Experience building a backend platform from the ground up for a customer-facing product, ideally involving LLM or agent workloads. - Recent experience operating production infrastructure for LLM or agent applications, including serving, orchestration, tool use, memory, or evaluation. - Strong backend fundamentals in Python or Go, APIs, databases and storage, and distributed systems. - Working experience with Kubernetes and a major cloud provider, such as AWS or Google Cloud. - Experience across both larger technology organizations and early-stage startup or research environments. - Familiarity with data pipelines, job scheduling, or machine learning experimentation workflows. COMPENSATION & BENEFITS Base salary is $200,000 to $300,000 annually. Visa sponsorship is available. LOCATION On-site in Palo Alto, California, United States.