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.