Staff Security Engineer – AI & Runtime Guardrails (Remote)

Ultra Security; United States; Remote; USD 170,000 - 230,000; Full time

Benefits offered by this job

Remote work across Americas and EMEA

Job summary

Ultra Security is seeking a staff-level security-focused software leader to design and ship security features across frontend, backend, and platform services. You will connect distributed systems with runtime security, enforce policies, and improve auditability throughout the product lifecycle.

You will own modules from scoping to deployment, work with applied AI concerns, tool calling, and anomaly pipelines while balancing speed and enterprise security in a high-velocity startup environment.

Qualifications

• 5+ years building and shipping production software.
• Staff-level ownership or equivalent leadership role.
• Experience with backend, infrastructure, or data-intensive systems.
• Security product experience: authorization, audit logging, or runtime enforcement.

Responsibilities

• Design and ship product features across frontend, backend, APIs, data models, and services.
• Take new modules from scoping and architecture through implementation, launch, and refinement.
• Build and evolve runtime enforcement, guardrails, audit trails, and visibility for systems using the MCP.
• Partner across infrastructure and applied AI work, including tool calling, evaluations, and anomaly pipelines where they affect security or compliance.
• Translate customer feedback into product improvements, balancing speed with enterprise security needs.
• Use AI-assisted development tools while maintaining correctness, and contribute to evaluation and reliability practices.

Skills

Backend development

Distributed systems

Security product experience

MCP integration

Startup environment

Job description

Ultra Security is seeking a staff-level security-focused software leader to design and ship security features across frontend, backend, and platform services. You will connect distributed systems with runtime security, enforce policies, and improve auditability throughout the product lifecycle.

You will own modules from scoping to deployment, work with applied AI concerns, tool calling, and anomaly pipelines while balancing speed and enterprise security in a high-velocity startup environment.