Staff Software Engineer (Agent Security)

Fortinet Santa Clara, California, United States

Computer and Network Security · 10,001+ employees

6 d ago

Mid (2-5 yrs) Full-time United States

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About the role

Build enterprise AI security solutions and design security controls for agentic AI systems, including agents, tools, and agent-to-agent interactions. Collaborate with product and QA teams, develop customer evaluation and deployment tools, and research emerging technologies and security trends.

What they look for

Python Go Rust C/C++ Backend Development Cloud-Native Infrastructure Networking HTTP gRPC WebSocket Reverse Proxies API Gateways Identity-Aware Proxies Agentic AI Security Prompt Injection Cybersecurity

Requirements

Requires strong software engineering skills in Python, Go, Rust, or C/C++, a bachelor's degree or equivalent experience, and at least three years of backend development experience. Candidates should understand application and network protocols or proxy technologies and demonstrate proactive problem-solving; experience with agentic AI, LLM security, or cybersecurity is a strong plus.

Full description

Responsibility

Build AI security solutions for enterprise customers.
Design and implement security controls for agentic AI systems, including agents, tools, and agent-to-agent interactions.
Work cross-functionally with PM and QA teams to deliver secure and scalable solutions.
Develop pre-sales and post-sales tools and environments to support customer evaluations, deployments, troubleshooting, and integration.
Research emerging technologies and security trends to identify new opportunities and develop innovative solutions.

Requirements

Strong software engineering skills in Python or Go, or in a systems language such as Rust or C/C++.
Bachelor’s degree or above in Computer Science or a related field, or equivalent practical experience.
3+ years of backend development experience, including cloud-native infrastructure, networking, and building reliable services at scale.
Solid understanding of application and network protocols, such as HTTP, gRPC, and WebSocket, and/or hands-on experience with reverse proxies, API gateways, or identity-aware proxies.
Self-drive and proactive with strong problem-solving and debugging skills and a focus on delivering high-quality solutions.

Strong Plus

Hands-on experience with the agentic AI ecosystem, including MCP, tool calling, and agent frameworks.
Experience with LLM and agent security, including areas such as prompt injection, tool poisoning, jailbreaks, and agent security controls.
Background or professional experience in cybersecurity, particularly application security, network security, identity, or API security.