Role Description
At Dropbox, we believe in simplifying the way people work together. We provide a range of innovative cloud-based solutions to empower individuals and businesses to share, access, and collaborate on their files seamlessly. Security plays a pivotal role in shaping our mission of building a more enlightened way of working where everyone can unleash their creative potential without constraints.
As a Security Engineer, you'll safeguard our digital ecosystem alongside a diverse team of professionals dedicated to protecting our products and users. Trusted by millions, our mission is to integrate security seamlessly into Dropbox, empowering confident collaboration. Join us in owning a range of security projects, fostering innovation and growth in a collaborative environment.
Responsibilities
- Design, deploy, and operate security controls for Dropbox’s AI and agentic infrastructure, including model gateways, inference services, vector stores, retrieval systems, and supporting cloud and Kubernetes platforms.
- Implement least-privilege and secure-execution patterns for AI agents, including per-tool authorization, sandboxing, human-in-the-loop approvals for high-impact actions, and separation of policy validation from execution.
- Lead security implementation for AI tool and agent connectivity layers, including MCP gateway deployments, with controls for OAuth-based authorization, scope minimization, token audience validation, origin validation, replay protection, and secure isolation between trusted and untrusted tool domains.
- Deploy, build, and/or operate security infrastructure solutions to help scale and raise the security bar for Dropbox’s on-prem and cloud infrastructure.
- Automate security controls using scripting to eliminate redundant work and minimize need for human involvement.
- Collaborate with cross functional teams and lead security initiatives to influence product decisions and enhance security posture.
Requirements
- 9+ years of Security experience or related industry experience, demonstrating impactful contributions to security strategies.
- Bachelor's degree in Computer Science, Information Security, or related field, or equivalent experience, with coding proficiency.
- Experience securing LLM, RAG, or agentic AI systems in production, with hands-on implementation of controls for prompt injection, sensitive-data disclosure, excessive agency, data or model poisoning, and AI supply-chain risk.
- Experience designing identity and authorization for non-human workloads and agents using technologies such as SPIFFE/SPIRE, OAuth 2.1 or OIDC, AWS IRSA, Google Workload Identity Federation, Azure managed identities, or equivalent patterns.
- Integrate adversarial testing and release gates for AI systems into CI/CD, including regression coverage for prompt injection, tool abuse, memory poisoning, approval bypass, and multi-agent escalation scenarios.
- Solid knowledge of Linux fundamentals including system administration, security, networking, scripting, and troubleshooting.
- Proficiency using one or more scripting or high-level languages to automate tasks, manipulate data, or build small systems e.g. Bash, Python, Go, Rust, Ruby, NodeJS, C/C++, Java.
Preferred Qualifications
- Experience securing MCP-based systems or similar AI agent and tool protocols.
- Experience with multi-agent security controls such as trust boundaries, signed inter-agent messaging, and circuit breakers.
- Familiarity with NIST AI RMF, NIST SP 800-218A, MITRE ATLAS, CSA AICM, and OWASP LLM and agentic security guidance.
- Experience with security tools such as Teleport, CrowdStrike, Proofpoint, IPS/IDS, SIEM or SOAR.
- Certifications such as CISSP, CISM, or equivalent.
Compensation
