Senior Member of Technical Staff, Platform

ABOUT THE ROLE Build the platform and backend systems that support AI research and customer-facing agent products. This hands-on role spans infrastructure engineering, developer tooling, and production serving, working closely with research and product teams. WHAT YOU'LL DO - Design and maintain cloud infrastructure, storage, CI/CD, observability, and security for research and product 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 from prototype through production. - Monitor service and pipeline performance, troubleshoot bottlenecks, and improve reproducibility. - Build and scale backend serving systems for agent workloads, including availability, tracking, security, and networking. - Contribute to platform architecture and infrastructure strategy as systems scale. WHAT WE'RE LOOKING FOR - Five to twelve years of backend or platform engineering experience, including senior or staff-level individual-contributor work and daily coding. - Experience building a customer-facing product platform from the ground up, ideally for LLM or agent workloads. - Strong backend fundamentals in Python or Go, APIs, databases, storage, and distributed systems. - Working experience with Kubernetes and a major cloud platform, such as AWS or Google Cloud. - Production experience with LLM or agent serving, orchestration, memory, tool use, or evaluations. - Experience across both large technology organizations and startup or research environments. - Strong technical or computer science fundamentals, with familiarity in data pipelines, job scheduling, or ML experimentation workflows. COMPENSATION & BENEFITS Base salary range: $200,000 to $300,000 annually. Visa sponsorship is available. LOCATION On-site in Palo Alto, California, United States.