AI Security Platform Engineer (Distributed Systems)

The Briefed; Bellevue (WA); On-site; USD 180,000 - 240,000; Full time

Benefits offered by this job

Health insurance

Equity grants

401(k) matching

On-site meals

Job summary

Robinhood is seeking a Software Engineer for the AI Security team to build scalable, secure AI infrastructure that enables internal security pods to deploy autonomous agents with zero-trust by default.

You will design platform primitives, APIs, and tooling in Go or Python, tackle identity, encryption, and distributed systems challenges using AWS, Kubernetes, gRPC, and Kafka, and work with cross-functional partners to raise security standards across the product stack.

Qualifications

• 3+ years of professional software development experience.
• 2+ years building large-scale distributed systems with security concepts (authentication, authorization, identity, or encryption).
• Hands-on background building AI platforms, ML infrastructure, or production systems supporting LLMs/AI-powered apps.

Responsibilities

• AI Security Platform Engineering: design, build, maintain scalable platform infrastructure for internal security teams to deploy AI agents and workflows.
• Platform Primitives & Developer Tooling: build core services, APIs, libraries, and SDKs using Go or Python.
• Security & Identity Architecture: implement identity management, authentication, authorization, data protection, and encryption controls across distributed AI workloads.
• Distributed Systems Reliability: architect high-throughput cloud-native systems using AWS, Kubernetes, gRPC, and Kafka.
• AI Safety & Guardrails: develop platform-level safety controls to mitigate AI risks and data exfiltration.
• Cross-Functional Partnership: collaborate with security leads and developer teams to translate security requirements into platform capabilities.

Skills

AI platform experience

Go or Python proficiency

Distributed systems knowledge

Security concepts (zero-trust)

Tools

AWS

Kubernetes

gRPC

Kafka

Job description

Robinhood is seeking a Software Engineer for the AI Security team to build scalable, secure AI infrastructure that enables internal security pods to deploy autonomous agents with zero-trust by default.

You will design platform primitives, APIs, and tooling in Go or Python, tackle identity, encryption, and distributed systems challenges using AWS, Kubernetes, gRPC, and Kafka, and work with cross-functional partners to raise security standards across the product stack.