Software Engineer, Agent Security

Fortinet

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Quick summary

Work type: On-site
Location: Santa Clara, CA
Employment: Full-time
Posted: 11 days ago
Freshness: Confirmed live today
Nearby: 99+ roles within 25 mi

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Salary context

How this pay compares to similar roles

Similar $179k

$120k $226k

below market most similar roles pay here above market

This listing doesn't post a salary. Most similar roles pay $142,400–$215,712.

Based on 240 similar postings.

Employer

About Fortinet

Fortinet is a US-based cybersecurity company best known for its FortiGate next-generation firewalls. It sells a broad security platform spanning network security, SD-WAN, endpoint protection, cloud security, and SIEM/SOC operations.

Fortinet currently has 102 open roles on FindRole.

Listed pay typically runs $140,000–$183,000 across 77 roles with salary data.

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At a glance

TL;DR · Software Engineer, Agent Security

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As a Software Engineer (Agent Security), you will join the team to build AI security solutions specifically for enterprise customers. Your daily responsibilities involve designing and implementing security controls for agentic AI systems, including agents, tools, and agent-to-agent interactions. You will work cross-functionally with product management and quality assurance teams to deliver scalable solutions while developing pre-sales and post-sales tools for customer evaluations and troubleshooting. The role requires proficiency in Python, Go, Rust, or C/C++ and experience with cloud-native infrastructure, networking, and protocols like HTTP, gRPC, and WebSocket. You will address technical problems involving prompt injection, tool poisoning, and jailbreaks within the agentic AI ecosystem. This position focuses on securing agent frameworks and identity-aware proxies to protect complex AI-driven workflows.

What does a Software Engineer earn in California?

Median $214500 from 1193 postings across 76 companies.

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Skills

Python Go Rust C C++ LLM Agentic AI MCP gRPC HTTP WebSocket API Gateway Cloud-native Infrastructure Networking Cybersecurity Application Security

What you'll do

Build AI security solutions for enterprise customers.
Design and implement security controls for agentic AI systems, tools, and interactions.
Develop pre-sales and post-sales tools for customer evaluations, deployments, and troubleshooting.
Research emerging technologies and security trends to develop innovative solutions.
Build reliable, scalable backend services using cloud-native infrastructure.
Implement security controls for LLM-related threats like prompt injection and tool poisoning.
Develop and maintain secure application and network protocols including HTTP, gRPC, and WebSockets.

What we're looking for

Bachelor’s degree or above in Computer Science or a related field, or equivalent practical experience.
Strong software engineering skills in Python, Go, Rust, or C/C++.
3+ years of backend development experience, including cloud-native infrastructure, networking, and building reliable services at scale.
Solid understanding of application and network protocols like HTTP, gRPC, and WebSocket, and/or experience with proxies and API gateways.
Self-drive and proactive with strong problem-solving and debugging skills.
Hands-on experience with the agentic AI ecosystem, including MCP, tool calling, and agent frameworks (preferred).
Experience with LLM and agent security, including prompt injection, tool poisoning, jailbreaks, and agent security controls (preferred).
Background or professional experience in cybersecurity, particularly application security, network security, identity, or API security (preferred).