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Metro senior engineer role with strong startup brand and mid-level seniority; niche AI-application security slightly reduces competition.
Highly specialized application security for LLM-driven, multi-tenant systems limits cross-industry transferability.
Explicit 5–10 years requirement and mandatory application-security and coding skills make filters strict.
Secure the infrastructure powering an AI-driven, multi-tenant execution environment for autonomous software creation.
Define and enforce security patterns, guardrails, and validation layers (static + semantic) for AI-generated code and applications.
Own application threat modeling, vulnerability analysis, and build reusable security primitives and developer-facing frameworks.
5–10+ years of experience in Application Security.
Strong coding skills in Python, JavaScript/TypeScript, and backend systems.
Deep understanding of OWASP Top 10, authentication & session management, API security, injection, and sandbox escape vectors.
Experience collaborating closely with product and engineering teams.
System-thinker focused on preventing insecure code at the source rather than just patching vulnerabilities.
Experience with AI/LLM security domains including prompt injection, output validation, and secure code generation.
Demonstrated ability to design and operationalize security for large-scale, agent-driven, multi-tenant systems.