Security Platform Automation Engineer

What you'll do

• Design system interfaces that make existing security systems consumable by AI agents.
• Build and maintain an automation pipeline for AI-assisted threat modeling and triage at scale.
• Implement AI skills and routing criteria to meet specific precision, recall, and false positive targets.
• Integrate the automation pipeline with existing security tooling like SBOM, scanning, and risk-acceptance systems.
• Build a quality feedback loop to continuously improve automation based on reviewer validation signals.
• Own prompt, skill, and model versioning as code with integrated evaluation gates.
• Develop high-quality software with comprehensive runbooks, tests, and observability to ensure system reliability.

What we're looking for

• 8+ years of experience building and operating production automation, data pipelines, or backend services.
• 1 year of experience building LLM- or agent-based systems that ran in production with a measured quality bar.
• Highly proficient in at least one of Python, Go, or Java.
• Experience integrating third-party and first-party APIs, tooling, and services into reliable end-to-end and AI agent workflows.
• Working knowledge of application and cloud security concepts including threat modeling, vulnerabilities, and secure configuration.
• MS or BS in Computer Science, Engineering, or a related field, or equivalent practical experience in Software or Security Engineering.
• Experience with Agent engineering including retrieval, grounding, citation, reasoning, and agentic workflow design (preferred).
• Familiarity with AWS cloud resources, security tooling like SAST/SCA, or supply-chain security (preferred).