Staff Identity Engineer

What You'll Do

While professional experience and qualifications are key for this role, make sure to check you have the preferable soft skills before applying if required.

• Build and improve Watch products: static and dynamic scanning for MCP servers, skills, plugins, and agent behavior detection on endpoints
• Develop shadow detection: identify unregistered MCP servers, skills, plugins, and agents running outside governance across the enterprise
• Own AppSec for the platform: penetration testing, vulnerability management, dependency scanning, and security hardening of the control plane
• Build automated version scanning: CI/CD-integrated security checks that run on each new MCP server version, skill update, or plugin release
• Extend detection coverage to CLI agents (Codex, OpenCode) and browser-based agents

Responsibilities

• Build and improve Watch products: static and dynamic scanning for MCP servers, skills, plugins, and agent behavior detection on endpoints
• Develop shadow detection: identify unregistered MCP servers, skills, plugins, and agents running outside governance across the enterprise
• Own AppSec for the platform: penetration testing, vulnerability management, dependency scanning, and security hardening of the control plane
• Build automated version scanning: CI/CD-integrated security checks that run on each new MCP server version, skill update, or plugin release
• Extend detection coverage to CLI agents (Codex, OpenCode) and browser-based agents

Qualifications

• 8+ years in security engineering with deep experience in application security, security tooling development, or endpoint detection

Required Skills

• Builder, not operator. xhqgsiq You've created scanning or detection systems: parsers, rule engines, analysis pipelines.
• Experience with shadow IT detection, asset discovery, or endpoint monitoring in enterprise environments
• Strong Python skills (our scanning pipeline and platform backend are Python/FastAPI)
• Understanding of API and gateway attack patterns: SSRF, token theft, injection, supply-chain attacks
• Awareness of emerging AI/LLM security threats: prompt injection, tool poisoning, jailbreaking, indirect prompt injection through tool responses