Role DescriptionAs 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.
Our Engineering Career Framework is viewable by anyone outside the company and describes what's expected for our engineers at each of our career levels. Check out our blog post on this topic and more here.
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.
Many teams at Dropbox run Services with on-call rotations, which entails being available for calls during both core and non-core business hours. If a team has an on-call rotation, all engineers on the team are expected to participate in the rotation as part of their employment. Applicants are encouraged to ask for more details of the rotations to which the applicant is applying.
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.
CompensationUS Zone 1
This role is not available in Zone 1
US Zone 2
$214,200-$289,800 USD
US Zone 3
$190,400-$257,600 USD
