Skills

Must have

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.

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.

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.

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.

Software Engineer (Agent Security)

Compensation

Not disclosed

Location

Santa Clara, CA, United States

Work setup

Not specified

Seniority

Not specified

Employment

Not specified

Experience

3+ years

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.

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.

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.

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.