Design, build, and maintain high-scale automation workflows and AI-assisted capabilities that proactively mature Greenlight’s security posture.
Architect and implement security guardrails for internal AI usage, ensuring LLM integrations and automated agents operate within company risk tolerances.
Develop custom integrations across the security and business systems stack (SaaS, FinTech tools, and internal APIs) to eliminate manual silos.
Build and configure automated tooling for real-time monitoring of data security, privacy, and vulnerability management.
Partner with IT, Engineering, and Business Owners to identify operational bottlenecks and deploy AI-powered solutions that enhance both security and efficiency.
Collaborate with DevOps to bake automated security controls into the CI/CD pipeline and cloud environments.
Create high-quality designs, workflow diagrams, and playbooks to ensure automated systems are maintainable and transparent.

4+ years of professional experience in Cybersecurity, DevOps, or Software Engineering.
Strong proficiency in Python (preferred) or Go for building custom security tools and API-heavy integrations.
Solid understanding of cloud security principles (AWS/GCP), containerization (Docker/K8s), and securing distributed systems.
Deep familiarity with the OWASP Top 10 (including LLM-specific risks) and CI/CD security best practices.
Hands-on experience with CI/CD platforms (GitHub Actions, GitLab CI) and no-code/low-code automation platforms (e.g., Tines, Torq, or Tray.io).
Proven experience using AI-assisted tools (Copilot, Cursor, etc.) to accelerate development and a curiosity for deploying AI-driven security solutions.

Security Engineer II

Key skills