Senior Member of Technical Staff, Platform

Job description

ABOUT THE ROLE

Join the platform team at an AI/ML company to build the backend systems that support customer-facing agent products and research workflows. You will help make agent services reliable, scalable, and secure while collaborating with product and research teams.

WHAT YOU'LL DO - Design and maintain cloud infrastructure, storage, CI/CD pipelines, observability, and security for research and product environments. - Build internal developer tools, automation, and shared libraries that improve engineering productivity. - Develop reliable systems for data management, model experimentation, evaluation, and deployment across research and production. - Define and improve build, test, and release workflows from prototype through production. - Monitor service and pipeline performance, diagnose bottlenecks, and improve reproducibility. - 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 and 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 spanning large technology organizations and startups or research environments, with ownership of complete systems. - Familiarity with data pipelines, job scheduling, or ML experimentation workflows, and a strong technical or STEM background.

COMPENSATION & BENEFITS

Base salary: $200,000 to $300,000 annually. Visa sponsorship is available.

LOCATION

On-site in Palo Alto, California, United States.