Senior Member of Technical Staff, Platform

About the Role

Build the infrastructure and developer tools that support an AI product, from research and experimentation through reliable customer-facing deployments. This platform role works closely with product and research teams to make agent systems robust, scalable, and efficient.

What You'll Do

• Design and maintain cloud infrastructure, storage, CI/CD pipelines, observability, and security for research and production 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 to support moving prototypes into production.

• Monitor service and pipeline performance, diagnose bottlenecks, and improve reliability and reproducibility.

• Contribute to platform architecture and infrastructure strategy as the product scales.

What We're Looking For

• Five to twelve years of backend or platform engineering experience, with senior or staff-level individual contributor scope and a hands-on coding practice.

• Experience building a backend platform from the ground up for a customer-facing product, ideally involving LLM or agent workloads.

• Recent experience operating production infrastructure for LLM or agent applications, including 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 across both larger technology organizations and early-stage startup or research environments.

• Familiarity with data pipelines, job scheduling, or machine learning experimentation workflows.

Compensation & Benefits

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

Location

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