Staff Software Engineer (Agent Security)

Santa Clara, CA, US • Posted 7 hours ago • Updated 7 hours ago
Full Time
On-site
Fitment

Dice Job Match Score™

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Job Details

Skills

  • Project Management
  • Performance Management
  • Preventive Maintenance
  • Quality Assurance
  • Sales
  • Research
  • Emerging Technologies
  • Software Engineering
  • Python
  • Rust
  • C
  • C++
  • Computer Science
  • Backend Development
  • Cloud Computing
  • Computer Networking
  • Network Protocols
  • HTTP
  • WebSocket
  • Proxies
  • Problem Solving
  • Conflict Resolution
  • Debugging
  • FOCUS
  • Artificial Intelligence
  • Microsoft Certified Professional
  • Security Controls
  • Cyber Security
  • Software Security
  • Network Security
  • API
  • Oracle Linux

Summary

Job Description

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

Requirements
  1. Strong software engineering skills in Python or Go, or in a systems language such as Rust or C/C++.
  2. Bachelor's degree or above in Computer Science or a related field, or equivalent practical experience.
  3. 3+ years of backend development experience, including cloud-native infrastructure, networking, and building reliable services at scale.
  4. 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.
  5. Self-drive and proactive with strong problem-solving and debugging skills and a focus on delivering high-quality solutions.

Strong Plus
  1. Hands-on experience with the agentic AI ecosystem, including MCP, tool calling, and agent frameworks.
  2. Experience with LLM and agent security, including areas such as prompt injection, tool poisoning, jailbreaks, and agent security controls.
  3. Background or professional experience in cybersecurity, particularly application security, network security, identity, or API security.
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
  • Dice Id: 10297592
  • Position Id: 2c7aa987f6026367c7b356466961ba40
  • Posted 7 hours ago
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