Role description
Ridge Security Technology Inc.Role summary
Lead the engineering organization delivering enterprise cybersecurity products across on-premises and SaaS. Own architecture, reliability, and secure SDLC. Lead Agentic-AI initiatives for cybersecurity (including LLM integration/orchestration) to power automated penetration-testing and cloud-security features. Grow and coach managers and ICs, partner with Product and Customer Success, and ensure operational excellence for global customers.
Key responsibilities
Define, evolve, and govern the reference architecture for on-premises and SaaS security products; ensure scalability, resiliency, observability, and cost efficiency.
Lead Agentic-AI in the cybersecurity domain, including LLM integration/orchestration for automated penetration-testing and cloud-security features.
Be hands-on as needed—prototype customer-driven features, review/merge critical changes, and unblock delivery.
Establish and continuously improve secure SDLC (CI/CD, automated testing, release governance, quality gates) across teams.
Lead, mentor, and scale a high-performing engineering organization (hiring, career ladders, performance, succession planning).
Operate the platform with SLOs/SLIs; drive incident response and post-incident improvements.
Partner with Product, Customer Success, and Security to translate enterprise requirements into roadmaps; support critical customer escalations globally.
Drive continuous improvement in engineering processes, code quality, and architecture guardrails; maintain documentation (architecture standards, runbooks).
Minimum qualifications
· Master’s in Computer Science, Computer Engineering, Electrical Engineering, or related field; or Bachelor’s + 5 years progressively responsible experience.
· 5 years software engineering experience including 3 years people-management (managing engineers and/or managers).
· Enterprise cybersecurity product experience (e.g., vulnerability management, penetration testing, cloud security).
· Applied AI/ML for enterprise software, including LLM integration/orchestration.
· Experience delivering both SaaS and on-premises enterprise products.
· Experience with one major public cloud (AWS or Azure or GCP).
· Relational and/or NoSQL databases; proficiency in one of: MySQL / PostgreSQL / MongoDB / Cassandra.
· CI/CD and secure SDLC in enterprise environments.
· Proficiency in one of: Python / Java / Node.js / Go / C++
Company Description
Ridge Security is a leader in Adversarial Exposure Validation and is dedicated to developing innovative cybersecurity solutions designed to protect organizations from advanced cyber threats. Ridge Security’s flagship product RidgeBot incorporates advanced artificial intelligence to deliver automated exposure validation continuously. With a focus on automation, intelligence, and actionable insights, Ridge Security enables security teams to stay ahead of emerging threats..