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.