Senior Member of Technical Staff, Platform

ABOUT THE ROLE Join an AI product team building the platform that supports customer-facing agent applications. You will work across backend infrastructure, developer tooling, and MLOps to help research and product teams develop, deploy, and operate reliable systems. WHAT YOU'LL DO - Build and maintain cloud infrastructure for compute, storage, CI/CD, observability, and security. - Develop internal tools, automation, and shared libraries that improve engineering productivity. - Create reliable systems for data management, model experimentation, evaluation, and deployment. - Improve build, test, and release workflows from research prototypes through production. - Monitor service and pipeline performance, diagnose bottlenecks, and improve reliability and reproducibility. - Design backend services for agent hosting, availability, tracking, security, networking, and scaling. - Contribute to platform architecture and infrastructure strategy as the product grows. 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 backend platform from scratch for an external product, ideally involving LLMs or agents. - Recent hands-on experience with production LLM or agent systems, such as 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 spanning both larger technology organizations and startups or research environments, with broad ownership of a system. - Familiarity with data pipelines, job scheduling, or ML experimentation workflows. COMPENSATION & BENEFITS Base salary is $200,000 to $300,000 USD annually. Visa sponsorship is available. LOCATION On-site in Palo Alto, California, United States.