9 hours ago
Responsibilities
- Build AI security solutions for enterprise customers.
- Design and implement security controls for agentic AI systems, including agents, tools, and agent-to-agent interactions.
- Develop pre-sales and post-sales tools and environments for customer evaluations, deployments, troubleshooting, and integration.
- Collaborate with product management and QA teams to deliver secure, scalable solutions.
- Research emerging technologies and security trends to identify opportunities and develop innovative solutions.
Requirements
- Strong software engineering skills in Python or Go, or in systems languages such as Rust or C/C++.
- Bachelor’s degree or above in Computer Science or a related field, or equivalent practical experience.
- At least 3 years of backend development experience, including cloud-native infrastructure, networking, and building reliable services at scale.
- Understanding of application and network protocols including HTTP, gRPC, and WebSocket, and/or hands-on experience with reverse proxies, API gateways, or identity-aware proxies.
- Strong problem-solving and debugging skills with a proactive, quality-focused approach.
- Experience with the agentic AI ecosystem, including MCP, tool calling, or agent frameworks, is a strong plus.
- Experience with LLM and agent security, including prompt injection, tool poisoning, jailbreaks, or agent security controls, is a strong plus.
- Cybersecurity experience in application security, network security, identity, or API security is a strong plus.
About Fortinet
Fortinet is a public cybersecurity company that builds network security hardware and software for enterprises, service providers, and governments. Its FortiGate firewalls, secure networking (SD-WAN), endpoint and cloud security, and threat intelligence subscriptions are sold via direct and channel partners. Founded in 2000 and headquartered in Sunnyvale, California, Fortinet trades on NASDAQ (FTNT) and serves more than 660,000 customers worldwide.