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.